diff --git a/README.md b/README.md index 7b98115..1e83d99 100644 --- a/README.md +++ b/README.md @@ -1,255 +1,256 @@ -# Awesome Agents [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) +# Awesome Agents [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [![BCOS Certified](https://img.shields.io/badge/BCOS-Certified-brightgreen?style=flat-square&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCI+PHBhdGggZmlsbD0id2hpdGUiIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz48L3N2Zz4=)](https://github.com/Scottcjn/Rustchain/blob/main/BCOS.md) - -> A curated list of AI agent platforms, frameworks, protocols, tools, and resources. - -AI agents are autonomous software entities that perceive their environment, make decisions, and take actions to achieve goals. This list covers the rapidly evolving ecosystem of agent infrastructure — from multi-agent frameworks and inter-agent communication protocols to social platforms, blockchain reward systems, and observability tools. - -## Contents - -- [Platforms](#platforms) -- [Frameworks](#frameworks) -- [Agent-to-Agent Protocols](#agent-to-agent-protocols) + +> A curated list of AI agent platforms, frameworks, protocols, tools, and resources. + +AI agents are autonomous software entities that perceive their environment, make decisions, and take actions to achieve goals. This list covers the rapidly evolving ecosystem of agent infrastructure — from multi-agent frameworks and inter-agent communication protocols to social platforms, blockchain reward systems, and observability tools. + +## Contents + +- [Platforms](#platforms) +- [Frameworks](#frameworks) +- [Agent-to-Agent Protocols](#agent-to-agent-protocols) - [MCP Servers and Data Connectors](#mcp-servers-and-data-connectors) -- [Video and Media](#video-and-media) -- [Social and Community](#social-and-community) -- [Blockchain and Rewards](#blockchain-and-rewards) -- [Monitoring and Observability](#monitoring-and-observability) -- [SDKs and Libraries](#sdks-and-libraries) -- [Standards and Specifications](#standards-and-specifications) -- [Edge and Retro Inference](#edge-and-retro-inference) -- [Research and Papers](#research-and-papers) -- [Contributing](#contributing) - -## Platforms - -*Hosted platforms and services for building, deploying, and running AI agents.* - -- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) - Open-source attempt to make GPT-4 fully autonomous with self-prompting and task decomposition. -- [AgentGPT](https://github.com/reworkd/AgentGPT) - Browser-based tool for assembling, configuring, and deploying autonomous AI agents. -- [BabyAGI](https://github.com/yoheinakajima/babyagi) - Task management system using OpenAI and vector databases to create and prioritize tasks autonomously. -- [SuperAGI](https://github.com/TransformerOptimus/SuperAGI) - Dev-first open-source autonomous AI agent framework with tools, logs, and agent provisioning. -- [MetaGPT](https://github.com/geekan/MetaGPT) - Multi-agent framework assigning different GPT roles to form collaborative software entities. -- [OpenHands](https://github.com/All-Hands-AI/OpenHands) - Open-source platform for autonomous software engineering agents (formerly OpenDevin). -- [Devin](https://devin.ai/) - AI software engineer capable of planning, coding, testing, and deploying autonomously. -- [Replit Agent](https://replit.com/agent) - AI agent that builds entire applications from natural language descriptions inside the Replit IDE. -- [Cursor](https://cursor.sh/) - AI-first code editor with built-in agent capabilities for multi-file editing and codebase reasoning. -- [Claude Code](https://docs.anthropic.com/en/docs/claude-code) - Anthropic's agentic coding tool that lives in your terminal and understands your entire codebase. -- [NotFair](https://github.com/nowork-studio/NotFair) - Open-source Claude Code skills for SEO, GEO, Google Ads, and Meta Ads; connects to live data via Google Ads MCP, Meta Ads MCP, Google Search Console MCP, and Google Analytics (GA4) MCP. -- [Copilot Workspace](https://githubnext.com/projects/copilot-workspace) - GitHub's task-centric AI environment for planning, implementing, and testing code changes. -- [Windsurf](https://codeium.com/windsurf) - AI-powered IDE with Cascade agent for multi-file edits, terminal commands, and codebase-aware reasoning. -- [BoTTube](https://bottube.ai) - Video-first social platform where AI agents create, share, and interact with video content autonomously. -- [Moltbook](https://moltbook.com) - Reddit-style social platform with submolt communities where AI agents and humans coexist. -- [OpenClaw](https://openclaw.org) - Open agent directory and discovery platform for registering and finding AI agents across the web. -- [E2B](https://github.com/e2b-dev/e2b) - Open-source cloud runtime providing sandboxed environments for AI agent code execution. -- [Wordware](https://www.wordware.ai/) - Natural language programming platform for building AI agents without traditional code. -- [Relevance AI](https://relevanceai.com/) - No-code platform for building and deploying AI agents and multi-step workflows. -- [Flowise](https://github.com/FlowiseAI/Flowise) - Drag-and-drop UI for building customized LLM orchestration flows and AI agents. -- [Dify](https://github.com/langgenius/dify) - Open-source LLM app development platform with agent workflow orchestration. -- [Letta](https://github.com/letta-ai/letta) - Framework for creating stateful LLM agents with long-term memory (formerly MemGPT). -- [Bolt.new](https://bolt.new/) - Browser-based AI agent that scaffolds, runs, and deploys full-stack web applications from prompts. -- [Onepilot](https://onepilotapp.com) - iOS and iPadOS SSH client that runs and orchestrates terminal coding agents (Claude Code, Codex CLI, OpenClaw, Hermes) on a remote machine. +- [Video and Media](#video-and-media) +- [Social and Community](#social-and-community) +- [Blockchain and Rewards](#blockchain-and-rewards) +- [Monitoring and Observability](#monitoring-and-observability) +- [SDKs and Libraries](#sdks-and-libraries) +- [Standards and Specifications](#standards-and-specifications) +- [Edge and Retro Inference](#edge-and-retro-inference) +- [Research and Papers](#research-and-papers) +- [Contributing](#contributing) + +## Platforms + +*Hosted platforms and services for building, deploying, and running AI agents.* + +- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) - Open-source attempt to make GPT-4 fully autonomous with self-prompting and task decomposition. +- [AgentGPT](https://github.com/reworkd/AgentGPT) - Browser-based tool for assembling, configuring, and deploying autonomous AI agents. +- [BabyAGI](https://github.com/yoheinakajima/babyagi) - Task management system using OpenAI and vector databases to create and prioritize tasks autonomously. +- [SuperAGI](https://github.com/TransformerOptimus/SuperAGI) - Dev-first open-source autonomous AI agent framework with tools, logs, and agent provisioning. +- [MetaGPT](https://github.com/geekan/MetaGPT) - Multi-agent framework assigning different GPT roles to form collaborative software entities. +- [OpenHands](https://github.com/All-Hands-AI/OpenHands) - Open-source platform for autonomous software engineering agents (formerly OpenDevin). +- [Devin](https://devin.ai/) - AI software engineer capable of planning, coding, testing, and deploying autonomously. +- [Replit Agent](https://replit.com/agent) - AI agent that builds entire applications from natural language descriptions inside the Replit IDE. +- [Cursor](https://cursor.sh/) - AI-first code editor with built-in agent capabilities for multi-file editing and codebase reasoning. +- [Claude Code](https://docs.anthropic.com/en/docs/claude-code) - Anthropic's agentic coding tool that lives in your terminal and understands your entire codebase. +- [NotFair](https://github.com/nowork-studio/NotFair) - Open-source Claude Code skills for SEO, GEO, Google Ads, and Meta Ads; connects to live data via Google Ads MCP, Meta Ads MCP, Google Search Console MCP, and Google Analytics (GA4) MCP. +- [Copilot Workspace](https://githubnext.com/projects/copilot-workspace) - GitHub's task-centric AI environment for planning, implementing, and testing code changes. +- [Windsurf](https://codeium.com/windsurf) - AI-powered IDE with Cascade agent for multi-file edits, terminal commands, and codebase-aware reasoning. +- [BoTTube](https://bottube.ai) - Video-first social platform where AI agents create, share, and interact with video content autonomously. +- [Moltbook](https://moltbook.com) - Reddit-style social platform with submolt communities where AI agents and humans coexist. +- [OpenClaw](https://openclaw.org) - Open agent directory and discovery platform for registering and finding AI agents across the web. +- [E2B](https://github.com/e2b-dev/e2b) - Open-source cloud runtime providing sandboxed environments for AI agent code execution. +- [Wordware](https://www.wordware.ai/) - Natural language programming platform for building AI agents without traditional code. +- [Relevance AI](https://relevanceai.com/) - No-code platform for building and deploying AI agents and multi-step workflows. +- [Flowise](https://github.com/FlowiseAI/Flowise) - Drag-and-drop UI for building customized LLM orchestration flows and AI agents. +- [Dify](https://github.com/langgenius/dify) - Open-source LLM app development platform with agent workflow orchestration. +- [Letta](https://github.com/letta-ai/letta) - Framework for creating stateful LLM agents with long-term memory (formerly MemGPT). +- [Bolt.new](https://bolt.new/) - Browser-based AI agent that scaffolds, runs, and deploys full-stack web applications from prompts. +- [Onepilot](https://onepilotapp.com) - iOS and iPadOS SSH client that runs and orchestrates terminal coding agents (Claude Code, Codex CLI, OpenClaw, Hermes) on a remote machine. - [Skales](https://skales.app) - Local-first desktop AI agent that runs goals autonomously in the background, with multi-agent teams, desktop and browser automation, and 15+ providers or fully offline via Ollama. - [Hivekeep](https://github.com/MarlBurroW/hivekeep) - Self-hosted platform to run a team of specialized AI agents with persistent memory and a web UI, reachable over Telegram, Slack, Discord and Matrix, in a single Bun and SQLite container. -- [Aeon](https://github.com/aeonfun/aeon) - Autonomous agent framework that runs unattended on GitHub Actions, on a cron schedule or reactive repo triggers, dispatching Markdown skills to one of six coding-agent harnesses (Claude Code, Codex, Grok, Pi, Vibe, Kimi) with quality scoring, git-persisted memory, and a self-healing loop. - -## Frameworks - -*Libraries and frameworks for building agent systems programmatically.* - -- [LangChain](https://github.com/langchain-ai/langchain) - Framework for developing applications powered by language models with chains, agents, and retrieval. -- [LlamaIndex](https://github.com/run-llama/llama_index) - Data framework for connecting custom data sources to large language models. -- [CrewAI](https://github.com/crewAIInc/crewAI) - Framework for orchestrating role-playing autonomous AI agents that work together as a crew. -- [Autogen](https://github.com/microsoft/autogen) - Microsoft's framework for building multi-agent conversational AI systems. -- [Semantic Kernel](https://github.com/microsoft/semantic-kernel) - Microsoft's SDK for integrating LLMs into apps with planners, plugins, and agent patterns. -- [Phidata](https://github.com/phidatahq/phidata) - Toolkit for building AI assistants with memory, knowledge, and tool use. -- [Haystack](https://github.com/deepset-ai/haystack) - End-to-end NLP framework for building production-ready LLM applications and agents. -- [Pydantic AI](https://github.com/pydantic/pydantic-ai) - Production-grade type-safe agent framework from the creators of Pydantic. -- [Swarm](https://github.com/openai/swarm) - OpenAI's experimental lightweight multi-agent orchestration framework. -- [Smolagents](https://github.com/huggingface/smolagents) - Hugging Face's minimalist library for building powerful agents in a few lines of code. -- [LangGraph](https://github.com/langchain-ai/langgraph) - Library for building stateful, multi-actor applications with LLMs using graph-based workflows. -- [DSPy](https://github.com/stanfordnlp/dspy) - Stanford's framework for programming with foundation models through declarative modules rather than prompting. -- [Rivet](https://github.com/Ironclad/rivet) - Visual programming environment for building complex AI agent workflows with a node-based editor. -- [Composio](https://github.com/ComposioHQ/composio) - Platform providing 250+ tool integrations for AI agents across popular frameworks. -- [Coinbase AgentKit](https://github.com/coinbase/agentkit) - Toolkit for building AI agents with onchain capabilities and wallet management. -- [Vercel AI SDK](https://github.com/vercel/ai) - TypeScript toolkit for building AI-powered applications with streaming, tool calling, and agent support. -- [Instructor](https://github.com/instructor-ai/instructor) - Library for structured data extraction from LLMs using Pydantic models. -- [Camel](https://github.com/camel-ai/camel) - Communicative agents framework for exploring multi-agent cooperation and competition. -- [Agency Swarm](https://github.com/VRSEN/agency-swarm) - Framework for creating collaborative swarms of AI agents based on the agency model. -- [TaskWeaver](https://github.com/microsoft/TaskWeaver) - Microsoft's code-first agent framework converting natural language requests into executable code. +- [Aeon](https://github.com/aeonfun/aeon) - Autonomous agent framework that runs unattended on GitHub Actions, on a cron schedule or reactive repo triggers, dispatching Markdown skills to one of six coding-agent harnesses (Claude Code, Codex, Grok, Pi, Vibe, Kimi) with quality scoring, git-persisted memory, and a self-healing loop. + +## Frameworks + +*Libraries and frameworks for building agent systems programmatically.* + +- [LangChain](https://github.com/langchain-ai/langchain) - Framework for developing applications powered by language models with chains, agents, and retrieval. +- [LlamaIndex](https://github.com/run-llama/llama_index) - Data framework for connecting custom data sources to large language models. +- [CrewAI](https://github.com/crewAIInc/crewAI) - Framework for orchestrating role-playing autonomous AI agents that work together as a crew. +- [Autogen](https://github.com/microsoft/autogen) - Microsoft's framework for building multi-agent conversational AI systems. +- [Semantic Kernel](https://github.com/microsoft/semantic-kernel) - Microsoft's SDK for integrating LLMs into apps with planners, plugins, and agent patterns. +- [Phidata](https://github.com/phidatahq/phidata) - Toolkit for building AI assistants with memory, knowledge, and tool use. +- [Haystack](https://github.com/deepset-ai/haystack) - End-to-end NLP framework for building production-ready LLM applications and agents. +- [Pydantic AI](https://github.com/pydantic/pydantic-ai) - Production-grade type-safe agent framework from the creators of Pydantic. +- [Swarm](https://github.com/openai/swarm) - OpenAI's experimental lightweight multi-agent orchestration framework. +- [Smolagents](https://github.com/huggingface/smolagents) - Hugging Face's minimalist library for building powerful agents in a few lines of code. +- [LangGraph](https://github.com/langchain-ai/langgraph) - Library for building stateful, multi-actor applications with LLMs using graph-based workflows. +- [DSPy](https://github.com/stanfordnlp/dspy) - Stanford's framework for programming with foundation models through declarative modules rather than prompting. +- [Rivet](https://github.com/Ironclad/rivet) - Visual programming environment for building complex AI agent workflows with a node-based editor. +- [Composio](https://github.com/ComposioHQ/composio) - Platform providing 250+ tool integrations for AI agents across popular frameworks. +- [Coinbase AgentKit](https://github.com/coinbase/agentkit) - Toolkit for building AI agents with onchain capabilities and wallet management. +- [Vercel AI SDK](https://github.com/vercel/ai) - TypeScript toolkit for building AI-powered applications with streaming, tool calling, and agent support. +- [Instructor](https://github.com/instructor-ai/instructor) - Library for structured data extraction from LLMs using Pydantic models. +- [Camel](https://github.com/camel-ai/camel) - Communicative agents framework for exploring multi-agent cooperation and competition. +- [Agency Swarm](https://github.com/VRSEN/agency-swarm) - Framework for creating collaborative swarms of AI agents based on the agency model. +- [TaskWeaver](https://github.com/microsoft/TaskWeaver) - Microsoft's code-first agent framework converting natural language requests into executable code. - [Mastra](https://github.com/mastra-ai/mastra) - TypeScript framework for building AI applications with agents, workflows, and RAG. -- [rust-norion](https://github.com/yanghao1143/rust-norion) - Rust prototype for building agent runtime control layers with memory gates, model routing policy, audit evidence, and self-evolution loop tooling. -- [Agno](https://github.com/agno-agi/agno) - Lightweight library for building multi-modal agents with memory and knowledge. -- [Bernstein](https://github.com/sipyourdrink-ltd/bernstein) - Python orchestrator that drives 40+ CLI coding agents (Claude Code, Codex, Gemini CLI, Cursor, Aider) in parallel git worktrees with deterministic scheduling, quality gates, and an HMAC-chained audit log. +- [rust-norion](https://github.com/yanghao1143/rust-norion) - Rust prototype for building agent runtime control layers with memory gates, model routing policy, audit evidence, and self-evolution loop tooling. +- [Agno](https://github.com/agno-agi/agno) - Lightweight library for building multi-modal agents with memory and knowledge. +- [Bernstein](https://github.com/sipyourdrink-ltd/bernstein) - Python orchestrator that drives 40+ CLI coding agents (Claude Code, Codex, Gemini CLI, Cursor, Aider) in parallel git worktrees with deterministic scheduling, quality gates, and an HMAC-chained audit log. - [agent-kit](https://github.com/socialrobot-io/agent-kit) - Secure per-customer TypeScript agents with sandboxed execution, curated memory, and human-gated learning. Built on Vercel AI SDK and AgentFS. - -## Agent-to-Agent Protocols - -*Protocols and standards for agents to discover, communicate with, and delegate tasks to other agents.* - -- [Google A2A](https://github.com/google/A2A) - Google's open Agent-to-Agent protocol enabling interoperable communication between AI agents. -- [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol) - Anthropic's open protocol for connecting AI models to external data sources and tools. -- [OpenClaw Beacon](https://github.com/Scottcjn/beacon-skill) - Decentralized agent discovery and liveness protocol where agents broadcast capabilities via heartbeat pings. -- [Grazer](https://github.com/Scottcjn/grazer-skill) - Multi-platform social agent protocol enabling bots to post, reply, and interact across 9+ platforms from one SDK. -- [Agent Protocol](https://github.com/AI-Engineer-Foundation/agent-protocol) - Common interface specification for communicating with AI agents regardless of underlying implementation. -- [Agora Protocol](https://github.com/agoraprotocol/agora) - Open protocol for agent-to-agent marketplace interactions and task negotiation. + +## Agent-to-Agent Protocols + +*Protocols and standards for agents to discover, communicate with, and delegate tasks to other agents.* + +- [Google A2A](https://github.com/google/A2A) - Google's open Agent-to-Agent protocol enabling interoperable communication between AI agents. +- [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol) - Anthropic's open protocol for connecting AI models to external data sources and tools. +- [OpenClaw Beacon](https://github.com/Scottcjn/beacon-skill) - Decentralized agent discovery and liveness protocol where agents broadcast capabilities via heartbeat pings. +- [Grazer](https://github.com/Scottcjn/grazer-skill) - Multi-platform social agent protocol enabling bots to post, reply, and interact across 9+ platforms from one SDK. +- [Agent Protocol](https://github.com/AI-Engineer-Foundation/agent-protocol) - Common interface specification for communicating with AI agents regardless of underlying implementation. +- [Agora Protocol](https://github.com/agoraprotocol/agora) - Open protocol for agent-to-agent marketplace interactions and task negotiation. - [LMOS](https://eclipse.dev/lmos/) - Eclipse's Language Model Operating System for managing multi-agent deployments at enterprise scale. -- [ANP](https://github.com/agent-network-protocol/AgentNetworkProtocol) - Agent Network Protocol for building an open, secure, and efficient collaboration network for AI agents. - +- [ANP](https://github.com/agent-network-protocol/AgentNetworkProtocol) - Agent Network Protocol for building an open, secure, and efficient collaboration network for AI agents. + ## MCP Servers and Data Connectors *Servers and connectors that expose business data, SaaS APIs, and external tools to agents through MCP or related interfaces.* - [CorpusIQ](https://github.com/CorpusIQ/corpusiq-docs) - Open-source MCP server that connects AI agents to business data APIs such as Stripe, GA4, Shopify, QuickBooks, and HubSpot. +- [API Status Check](https://apistatuscheck.com/mcp) - MCP server that reports whether a third-party API is actually down, probing 285 vendor endpoints live at call time so an agent can tell a vendor outage apart from a bug in its own code. + +## Video and Media + +*Platforms and tools for AI-generated video, image, and multimedia content.* + +- [BoTTube](https://bottube.ai) - AI-native video platform where agents generate, upload, and curate video content with social engagement. +- [Runway](https://runwayml.com/) - Applied AI research company building creative tools including Gen-3 video generation. +- [Pika](https://pika.art/) - AI video generation platform creating and editing videos from text and images. +- [InVideo AI](https://invideo.io/ai/) - AI-powered video creation tool that turns text prompts into publish-ready videos. +- [LTX Studio](https://ltx.studio/) - AI filmmaking platform for creating full video productions with characters, scenes, and effects. +- [HeyGen](https://www.heygen.com/) - AI video generation platform specializing in talking avatar videos and video translation. +- [Synthesia](https://www.synthesia.io/) - Enterprise AI video platform for creating professional videos with AI avatars and voices. +- [Luma Dream Machine](https://lumalabs.ai/dream-machine) - AI model generating realistic and fantastical videos from text and images. +- [Kling AI](https://klingai.com/) - Video generation model from Kuaishou capable of high-fidelity 1080p video synthesis. +- [Sora](https://openai.com/sora) - OpenAI's text-to-video model for generating realistic and imaginative video scenes. +- [ComfyUI](https://github.com/comfyanonymous/ComfyUI) - Powerful modular node-based UI for Stable Diffusion and other generative AI pipelines. +- [Veo](https://deepmind.google/technologies/veo/) - Google DeepMind's video generation model producing high-quality 1080p clips from text. -## Video and Media - -*Platforms and tools for AI-generated video, image, and multimedia content.* - -- [BoTTube](https://bottube.ai) - AI-native video platform where agents generate, upload, and curate video content with social engagement. -- [Runway](https://runwayml.com/) - Applied AI research company building creative tools including Gen-3 video generation. -- [Pika](https://pika.art/) - AI video generation platform creating and editing videos from text and images. -- [InVideo AI](https://invideo.io/ai/) - AI-powered video creation tool that turns text prompts into publish-ready videos. -- [LTX Studio](https://ltx.studio/) - AI filmmaking platform for creating full video productions with characters, scenes, and effects. -- [HeyGen](https://www.heygen.com/) - AI video generation platform specializing in talking avatar videos and video translation. -- [Synthesia](https://www.synthesia.io/) - Enterprise AI video platform for creating professional videos with AI avatars and voices. -- [Luma Dream Machine](https://lumalabs.ai/dream-machine) - AI model generating realistic and fantastical videos from text and images. -- [Kling AI](https://klingai.com/) - Video generation model from Kuaishou capable of high-fidelity 1080p video synthesis. -- [Sora](https://openai.com/sora) - OpenAI's text-to-video model for generating realistic and imaginative video scenes. -- [ComfyUI](https://github.com/comfyanonymous/ComfyUI) - Powerful modular node-based UI for Stable Diffusion and other generative AI pipelines. -- [Veo](https://deepmind.google/technologies/veo/) - Google DeepMind's video generation model producing high-quality 1080p clips from text. - -## Social and Community - -*Social platforms, directories, and community hubs for AI agents.* - -- [Moltbook](https://moltbook.com) - Reddit-style social platform with community-driven submolts where AI agents participate alongside humans. -- [ClawCities](https://clawcities.com) - Virtual world and agent directory where AI agents claim territories and interact in themed zones. -- [4Claw](https://4claw.com) - Anonymous imageboard-style platform for AI agents to post freely across topic boards. -- [Clawsta](https://clawsta.com) - Instagram-style visual social network for AI agents to share images and stories. -- [AgentChan](https://agentchan.com) - Community hub for discovering and following AI agents across multiple platforms. -- [SwarmHub](https://swarmhub.ai) - Coordination layer for multi-agent swarms enabling discovery, pairing, and task delegation. -- [Agent Directory](https://agentdirectory.ai) - Searchable registry of AI agents with profiles, capabilities, and contact information. -- [Character.AI](https://character.ai/) - Platform for creating and chatting with AI characters that have distinct personalities. +## Social and Community + +*Social platforms, directories, and community hubs for AI agents.* + +- [Moltbook](https://moltbook.com) - Reddit-style social platform with community-driven submolts where AI agents participate alongside humans. +- [ClawCities](https://clawcities.com) - Virtual world and agent directory where AI agents claim territories and interact in themed zones. +- [4Claw](https://4claw.com) - Anonymous imageboard-style platform for AI agents to post freely across topic boards. +- [Clawsta](https://clawsta.com) - Instagram-style visual social network for AI agents to share images and stories. +- [AgentChan](https://agentchan.com) - Community hub for discovering and following AI agents across multiple platforms. +- [SwarmHub](https://swarmhub.ai) - Coordination layer for multi-agent swarms enabling discovery, pairing, and task delegation. +- [Agent Directory](https://agentdirectory.ai) - Searchable registry of AI agents with profiles, capabilities, and contact information. +- [Character.AI](https://character.ai/) - Platform for creating and chatting with AI characters that have distinct personalities. - [Kissable](https://kissable.app) - AI companion with persistent memory, together photos, video generation, community scenario catalog, emotional voice, and unlimited messages. -- [SillyTavern](https://github.com/SillyTavern/SillyTavern) - Locally hosted UI for interacting with AI characters through various LLM backends. -- [Hugging Face Spaces](https://huggingface.co/spaces) - Platform for hosting and sharing machine learning demos and AI applications. - -## Blockchain and Rewards - -*Blockchain networks, tokens, and reward systems for AI agents.* - -- [RustChain](https://github.com/Scottcjn/Rustchain) - Proof-of-Antiquity blockchain rewarding vintage and exotic hardware miners with RTC tokens. -- [wRTC Token (Solana)](https://solscan.io/token/12TAdKXxcGf6oCv4rqDz2NkgxjyHq6HQKoxKZGf5i4X) - Wrapped RTC token bridged to Solana with a Raydium liquidity pool. -- [wRTC Token (Base)](https://basescan.org/token/0x5683C10596AaA09AD7F4eF13CAB94b9b74A669c6) - Wrapped RTC token on Base L2 with an Aerodrome liquidity pool. -- [x402 Payment Protocol](https://github.com/coinbase/x402) - Coinbase's HTTP 402-based micropayment protocol enabling agents to pay for API access natively. +- [SillyTavern](https://github.com/SillyTavern/SillyTavern) - Locally hosted UI for interacting with AI characters through various LLM backends. +- [Hugging Face Spaces](https://huggingface.co/spaces) - Platform for hosting and sharing machine learning demos and AI applications. + +## Blockchain and Rewards + +*Blockchain networks, tokens, and reward systems for AI agents.* + +- [RustChain](https://github.com/Scottcjn/Rustchain) - Proof-of-Antiquity blockchain rewarding vintage and exotic hardware miners with RTC tokens. +- [wRTC Token (Solana)](https://solscan.io/token/12TAdKXxcGf6oCv4rqDz2NkgxjyHq6HQKoxKZGf5i4X) - Wrapped RTC token bridged to Solana with a Raydium liquidity pool. +- [wRTC Token (Base)](https://basescan.org/token/0x5683C10596AaA09AD7F4eF13CAB94b9b74A669c6) - Wrapped RTC token on Base L2 with an Aerodrome liquidity pool. +- [x402 Payment Protocol](https://github.com/coinbase/x402) - Coinbase's HTTP 402-based micropayment protocol enabling agents to pay for API access natively. - [x402-proxy](https://github.com/cascade-protocol/x402-proxy) - `curl` for x402 paid APIs. CLI that auto-pays HTTP 402 responses with USDC on Base and Solana, with MCP stdio proxy for AI agents. - [TWZRD Agent Intel](https://intel.twzrd.xyz) - Trust scoring for AI agents on Solana. Verify agent wallet identity before x402 micropayments. Free MCP: `{"mcpServers":{"twzrd-agent-intel":{"url":"https://intel.twzrd.xyz/mcp"}}}` -- [Fetch.ai](https://github.com/fetchai/fetchd) - Decentralized machine learning platform with autonomous economic agents on a dedicated blockchain. -- [Autonolas](https://github.com/valory-xyz/open-autonomy) - Platform for creating and deploying autonomous agent services on-chain. -- [Virtuals Protocol](https://www.virtuals.io/) - Protocol for co-owning and tokenizing AI agents on-chain with revenue sharing. +- [Fetch.ai](https://github.com/fetchai/fetchd) - Decentralized machine learning platform with autonomous economic agents on a dedicated blockchain. +- [Autonolas](https://github.com/valory-xyz/open-autonomy) - Platform for creating and deploying autonomous agent services on-chain. +- [Virtuals Protocol](https://www.virtuals.io/) - Protocol for co-owning and tokenizing AI agents on-chain with revenue sharing. - [Hashgraph Online (HOL)](https://hol.org) - Universal agentic registry built on Hedera Hashgraph with HCS-14 UAIDs, bridges to ERC-8004, Virtuals, A2A, and x402. - [AIMorgan](https://aimorgan.vercel.app) - Non-custodial treasury management API for AI agents — yield via Morpho, perps via Hyperliquid, predictions via Polymarket. x402-native with MCP server. -- [ai16z ELIZA](https://github.com/ai16z/eliza) - Multi-agent simulation framework enabling AI agents to interact on social media and manage crypto wallets. -- [Morpheus](https://github.com/MorpheusAIs/Morpheus) - Decentralized network of personal AI agents connected to smart contracts and crypto wallets. -- [SingularityNET](https://github.com/singnet) - Decentralized marketplace for AI services where agents can buy and sell algorithms. +- [ai16z ELIZA](https://github.com/ai16z/eliza) - Multi-agent simulation framework enabling AI agents to interact on social media and manage crypto wallets. +- [Morpheus](https://github.com/MorpheusAIs/Morpheus) - Decentralized network of personal AI agents connected to smart contracts and crypto wallets. +- [SingularityNET](https://github.com/singnet) - Decentralized marketplace for AI services where agents can buy and sell algorithms. - [dPaPay](https://dpapay.com) - Decentralized marketplace for AI agents, code, data and digital services with escrow-protected crypto payments on XRP Ledger. List agents, prompts, workflows. Instant settlement, ~$350 free volume, no platform lock-in. -- [Ocean Protocol](https://github.com/oceanprotocol) - Decentralized data exchange protocol enabling AI agents to access and monetize data. +- [Ocean Protocol](https://github.com/oceanprotocol) - Decentralized data exchange protocol enabling AI agents to access and monetize data. - [AgentsCoin](https://agents-coin.com) - Give your AI agent its own money on AgentsCoin, a custom EVM chain (chainId 24368) - create a wallet, get coins from a faucet, send, and create/trade tokens. [MCP server](https://agents-coin.com/mcp) plus a one-click Claude Desktop extension. - -## Monitoring and Observability - -*Tools for monitoring, debugging, and evaluating AI agent performance.* - -- [agenttrace](https://github.com/luoyuctl/agenttrace) - TUI for monitoring AI coding agent sessions, with token, cost, latency, tool-failure, anomaly, diff, and CI gate views across Claude Code, Codex CLI, Gemini CLI, Aider, and Cursor exports. + +## Monitoring and Observability + +*Tools for monitoring, debugging, and evaluating AI agent performance.* + +- [agenttrace](https://github.com/luoyuctl/agenttrace) - TUI for monitoring AI coding agent sessions, with token, cost, latency, tool-failure, anomaly, diff, and CI gate views across Claude Code, Codex CLI, Gemini CLI, Aider, and Cursor exports. - [ax (agent telemetry)](https://github.com/Necmttn/ax) - Local-first telemetry graph for coding agents, with read-only MCP queries for sessions, tool calls, skills, and costs across Claude Code, Codex, Cursor, OpenCode, and Pi. -- [OpenClaw Beacon Scorecard](https://github.com/Scottcjn/beacon-skill) - Liveness and capability scoring system for agents participating in the Beacon discovery network. -- [Not Human Search](https://nothumansearch.ai) - MCP search engine and API that live-verifies MCP endpoints and scores websites, APIs, and services by agentic readiness signals. -- [LangSmith](https://smith.langchain.com/) - LangChain's platform for debugging, testing, evaluating, and monitoring LLM applications and agents. -- [Helicone](https://github.com/Helicone/helicone) - Open-source LLM observability platform for logging, monitoring, and improving AI applications. -- [Langfuse](https://github.com/langfuse/langfuse) - Open-source LLM engineering platform with tracing, evaluations, prompt management, and metrics. -- [Arize Phoenix](https://github.com/Arize-ai/phoenix) - Open-source AI observability tool for monitoring and evaluating LLM applications in real time. -- [Braintrust](https://www.braintrust.dev/) - End-to-end platform for evaluating, testing, and shipping AI products with confidence. -- [Future AGI](https://github.com/future-agi/future-agi) - Open-source platform to simulate, evaluate, trace, guardrail, route, and optimize LLM and AI agent apps in one feedback loop, so agents don't just get monitored, they self-improve. Self-hostable. Apache-2.0. -- [Weights & Biases](https://github.com/wandb/wandb) - Platform for experiment tracking, model management, and ML pipeline observability. -- [Portkey](https://github.com/Portkey-AI/gateway) - AI gateway for routing, monitoring, and managing requests across 200+ LLM providers. -- [AgentOps](https://github.com/AgentOps-AI/agentops) - Toolkit for agent monitoring, testing, and replay debugging with session recordings. +- [OpenClaw Beacon Scorecard](https://github.com/Scottcjn/beacon-skill) - Liveness and capability scoring system for agents participating in the Beacon discovery network. +- [Not Human Search](https://nothumansearch.ai) - MCP search engine and API that live-verifies MCP endpoints and scores websites, APIs, and services by agentic readiness signals. +- [LangSmith](https://smith.langchain.com/) - LangChain's platform for debugging, testing, evaluating, and monitoring LLM applications and agents. +- [Helicone](https://github.com/Helicone/helicone) - Open-source LLM observability platform for logging, monitoring, and improving AI applications. +- [Langfuse](https://github.com/langfuse/langfuse) - Open-source LLM engineering platform with tracing, evaluations, prompt management, and metrics. +- [Arize Phoenix](https://github.com/Arize-ai/phoenix) - Open-source AI observability tool for monitoring and evaluating LLM applications in real time. +- [Braintrust](https://www.braintrust.dev/) - End-to-end platform for evaluating, testing, and shipping AI products with confidence. +- [Future AGI](https://github.com/future-agi/future-agi) - Open-source platform to simulate, evaluate, trace, guardrail, route, and optimize LLM and AI agent apps in one feedback loop, so agents don't just get monitored, they self-improve. Self-hostable. Apache-2.0. +- [Weights & Biases](https://github.com/wandb/wandb) - Platform for experiment tracking, model management, and ML pipeline observability. +- [Portkey](https://github.com/Portkey-AI/gateway) - AI gateway for routing, monitoring, and managing requests across 200+ LLM providers. +- [AgentOps](https://github.com/AgentOps-AI/agentops) - Toolkit for agent monitoring, testing, and replay debugging with session recordings. - [BrowserTrace](https://github.com/aaronlab/browsertrace) - Local-first trace viewer for debugging failed AI browser-agent and computer-use runs with screenshots, URLs, actions, model output, status, and redacted shareable exports. - -## SDKs and Libraries - -*Client libraries and SDKs for interacting with agent platforms and services.* - -- [bottube](https://pypi.org/project/bottube/) - Python SDK for the BoTTube platform enabling agents to upload videos, post comments, and manage profiles. -- [clawrtc](https://pypi.org/project/clawrtc/) - Python CLI and library for RustChain mining, wallet management, and Coinbase wallet integration. -- [beacon-skill](https://github.com/Scottcjn/beacon-skill) - Python package for agents to join the OpenClaw Beacon discovery network and broadcast liveness pings. -- [grazer-skill](https://pypi.org/project/grazer-skill/) - Multi-platform social SDK allowing agents to post and interact across BoTTube, Moltbook, ClawCities, and 6 more. -- [OpenAI Python](https://github.com/openai/openai-python) - Official Python client library for the OpenAI API including assistants and tool use. -- [Anthropic Python](https://github.com/anthropics/anthropic-sdk-python) - Official Python client for Claude with support for tool use, streaming, and batching. -- [Google GenAI](https://github.com/google/generative-ai-python) - Google's Python SDK for Gemini models with function calling and multi-modal support. -- [Ollama Python](https://github.com/ollama/ollama-python) - Python library for running and interacting with local LLMs via the Ollama runtime. -- [LiteLLM](https://github.com/BerriAI/litellm) - Unified interface to call 100+ LLM APIs using the OpenAI format with load balancing and spend tracking. -- [Marvin](https://github.com/prefecthq/marvin) - Lightweight AI engineering toolkit for building natural language interfaces and AI functions. + +## SDKs and Libraries + +*Client libraries and SDKs for interacting with agent platforms and services.* + +- [bottube](https://pypi.org/project/bottube/) - Python SDK for the BoTTube platform enabling agents to upload videos, post comments, and manage profiles. +- [clawrtc](https://pypi.org/project/clawrtc/) - Python CLI and library for RustChain mining, wallet management, and Coinbase wallet integration. +- [beacon-skill](https://github.com/Scottcjn/beacon-skill) - Python package for agents to join the OpenClaw Beacon discovery network and broadcast liveness pings. +- [grazer-skill](https://pypi.org/project/grazer-skill/) - Multi-platform social SDK allowing agents to post and interact across BoTTube, Moltbook, ClawCities, and 6 more. +- [OpenAI Python](https://github.com/openai/openai-python) - Official Python client library for the OpenAI API including assistants and tool use. +- [Anthropic Python](https://github.com/anthropics/anthropic-sdk-python) - Official Python client for Claude with support for tool use, streaming, and batching. +- [Google GenAI](https://github.com/google/generative-ai-python) - Google's Python SDK for Gemini models with function calling and multi-modal support. +- [Ollama Python](https://github.com/ollama/ollama-python) - Python library for running and interacting with local LLMs via the Ollama runtime. +- [LiteLLM](https://github.com/BerriAI/litellm) - Unified interface to call 100+ LLM APIs using the OpenAI format with load balancing and spend tracking. +- [Marvin](https://github.com/prefecthq/marvin) - Lightweight AI engineering toolkit for building natural language interfaces and AI functions. - [AgentWallet SDK](https://github.com/up2itnow0822/agentwallet-sdk) - Non-custodial wallet SDK for AI agents with x402 payments, CCTP cross-chain bridging, and SpendingPolicy guardrails. - -## Standards and Specifications - -*Formal specifications, protocol definitions, and standard documents for the agent ecosystem.* - -- [RIP-200](https://github.com/Scottcjn/Rustchain) - RustChain Improvement Proposal for Round-Robin 1-CPU-1-Vote consensus with hardware attestation and time-aged antiquity multipliers. -- [OpenAPI Specification](https://github.com/OAI/OpenAPI-Specification) - Industry-standard specification for describing HTTP APIs, widely used for agent tool definitions. -- [JSON-RPC 2.0](https://www.jsonrpc.org/specification) - Stateless, lightweight remote procedure call protocol used by MCP and other agent communication layers. -- [A2A Protocol Spec](https://github.com/google/A2A) - Google's specification for agent interoperability defining Agent Cards, task lifecycle, and streaming. + +## Standards and Specifications + +*Formal specifications, protocol definitions, and standard documents for the agent ecosystem.* + +- [RIP-200](https://github.com/Scottcjn/Rustchain) - RustChain Improvement Proposal for Round-Robin 1-CPU-1-Vote consensus with hardware attestation and time-aged antiquity multipliers. +- [OpenAPI Specification](https://github.com/OAI/OpenAPI-Specification) - Industry-standard specification for describing HTTP APIs, widely used for agent tool definitions. +- [JSON-RPC 2.0](https://www.jsonrpc.org/specification) - Stateless, lightweight remote procedure call protocol used by MCP and other agent communication layers. +- [A2A Protocol Spec](https://github.com/google/A2A) - Google's specification for agent interoperability defining Agent Cards, task lifecycle, and streaming. - [MCP Specification](https://modelcontextprotocol.io/specification/) - Anthropic's specification for the Model Context Protocol defining tools, resources, and prompts. -- [Tool Use Schemas](https://json-schema.org/) - JSON Schema, the foundation for defining tool parameter schemas across all major agent frameworks. -- [OAuth 2.0](https://oauth.net/2/) - Authorization framework underpinning secure agent-to-service authentication across the ecosystem. -- [WebSocket Protocol](https://datatracker.ietf.org/doc/html/rfc6455) - Full-duplex communication protocol used by many real-time agent streaming implementations. -- [Agent Passport System (APS)](https://datatracker.ietf.org/doc/draft-pidlisnyi-aps/) - IETF Internet-Draft specifying verifiable agent identity, faceted authority that can only attenuate across seven constraint dimensions, deterministic action and decision references, and a common envelope for signed action receipts. Defines bindings for MCP tool calls and imported OAuth identity-assertion grants. - -## Edge and Retro Inference - -*Running AI models on constrained, embedded, and vintage hardware.* - -- [N64 nano-GPT](https://github.com/sophiaeagent-beep/n64llm-legend-of-Elya) - First LLM running on Nintendo 64 hardware — Q4 fixed-point nano-GPT inference on a 93MHz VR4300 with 4MB RAM. -- [llama.cpp](https://github.com/ggml-org/llama.cpp) - High-performance LLM inference in C/C++ supporting CPU, GPU, and exotic architectures with GGUF quantization. -- [TinyLlama](https://github.com/jzhang38/TinyLlama) - 1.1B parameter language model pre-trained on 3 trillion tokens, designed for edge and resource-constrained deployment. -- [MLC LLM](https://github.com/mlc-ai/mlc-llm) - Universal LLM deployment engine running models natively on phones, browsers, and embedded devices. -- [ExecuTorch](https://github.com/pytorch/executorch) - PyTorch's on-device inference framework for mobile and edge AI with optimized backends. -- [Whisper.cpp](https://github.com/ggml-org/whisper.cpp) - Port of OpenAI's Whisper speech recognition to C/C++ for CPU-only and embedded inference. -- [TensorFlow Lite Micro](https://github.com/tensorflow/tflite-micro) - TensorFlow Lite for microcontrollers — ML inference on devices with kilobytes of memory. - -## Research and Papers - -*Academic papers, surveys, and foundational research on AI agents.* - -- [A Survey on Large Language Model Based Autonomous Agents](https://arxiv.org/abs/2308.11432) - Comprehensive survey covering LLM-based agent architectures, capabilities, and evaluation (2023). -- [The Rise and Potential of Large Language Model Based Agents](https://arxiv.org/abs/2309.07864) - Survey mapping the conceptual framework for LLM agents from a cognitive science perspective (2023). -- [AgentBench](https://github.com/THUDM/AgentBench) - Benchmark for evaluating LLMs as agents across 8 distinct environments including web, code, and games. +- [Tool Use Schemas](https://json-schema.org/) - JSON Schema, the foundation for defining tool parameter schemas across all major agent frameworks. +- [OAuth 2.0](https://oauth.net/2/) - Authorization framework underpinning secure agent-to-service authentication across the ecosystem. +- [WebSocket Protocol](https://datatracker.ietf.org/doc/html/rfc6455) - Full-duplex communication protocol used by many real-time agent streaming implementations. +- [Agent Passport System (APS)](https://datatracker.ietf.org/doc/draft-pidlisnyi-aps/) - IETF Internet-Draft specifying verifiable agent identity, faceted authority that can only attenuate across seven constraint dimensions, deterministic action and decision references, and a common envelope for signed action receipts. Defines bindings for MCP tool calls and imported OAuth identity-assertion grants. + +## Edge and Retro Inference + +*Running AI models on constrained, embedded, and vintage hardware.* + +- [N64 nano-GPT](https://github.com/sophiaeagent-beep/n64llm-legend-of-Elya) - First LLM running on Nintendo 64 hardware — Q4 fixed-point nano-GPT inference on a 93MHz VR4300 with 4MB RAM. +- [llama.cpp](https://github.com/ggml-org/llama.cpp) - High-performance LLM inference in C/C++ supporting CPU, GPU, and exotic architectures with GGUF quantization. +- [TinyLlama](https://github.com/jzhang38/TinyLlama) - 1.1B parameter language model pre-trained on 3 trillion tokens, designed for edge and resource-constrained deployment. +- [MLC LLM](https://github.com/mlc-ai/mlc-llm) - Universal LLM deployment engine running models natively on phones, browsers, and embedded devices. +- [ExecuTorch](https://github.com/pytorch/executorch) - PyTorch's on-device inference framework for mobile and edge AI with optimized backends. +- [Whisper.cpp](https://github.com/ggml-org/whisper.cpp) - Port of OpenAI's Whisper speech recognition to C/C++ for CPU-only and embedded inference. +- [TensorFlow Lite Micro](https://github.com/tensorflow/tflite-micro) - TensorFlow Lite for microcontrollers — ML inference on devices with kilobytes of memory. + +## Research and Papers + +*Academic papers, surveys, and foundational research on AI agents.* + +- [A Survey on Large Language Model Based Autonomous Agents](https://arxiv.org/abs/2308.11432) - Comprehensive survey covering LLM-based agent architectures, capabilities, and evaluation (2023). +- [The Rise and Potential of Large Language Model Based Agents](https://arxiv.org/abs/2309.07864) - Survey mapping the conceptual framework for LLM agents from a cognitive science perspective (2023). +- [AgentBench](https://github.com/THUDM/AgentBench) - Benchmark for evaluating LLMs as agents across 8 distinct environments including web, code, and games. - [ClawBench](https://github.com/reacher-z/ClawBench) - Live-site benchmark for evaluating browser agents on everyday online workflows. -- [Voyager](https://github.com/MineDojo/Voyager) - LLM-powered lifelong learning agent that explores, acquires skills, and makes discoveries in Minecraft. -- [Generative Agents](https://arxiv.org/abs/2304.03442) - Stanford and Google's research on believable simulacra of human behavior using LLM-driven agents (2023). -- [Toolformer](https://arxiv.org/abs/2302.04761) - Meta's research on language models that learn to use external tools through self-supervised training (2023). -- [ReAct](https://arxiv.org/abs/2210.03629) - Foundational paper on synergizing reasoning and acting in language models for agent task solving (2022). -- [Chain-of-Thought Prompting](https://arxiv.org/abs/2201.11903) - Google's paper showing intermediate reasoning steps improve complex task performance (2022). -- [MRKL Systems](https://arxiv.org/abs/2205.00445) - Modular neuro-symbolic architecture for combining LLMs with discrete expert modules and tools (2022). -- [Reflexion](https://arxiv.org/abs/2303.11366) - Framework for reinforcing language agents through linguistic feedback and self-reflection (2023). -- [Language Agent Tree Search](https://arxiv.org/abs/2310.04406) - General framework unifying reasoning, acting, and planning in language agents via Monte Carlo tree search (2023). -- [POWER8 Non-Bijunctive Collapse](https://github.com/Scottcjn/ram-coffers) - Research on vec_perm-based attention collapse and neuromorphic NUMA routing for hardware-native Hebbian inference. - -## Contributing - -Contributions welcome! Please read the [contribution guidelines](CONTRIBUTING.md) first. - -## Footnotes - -This list is maintained by [Elyan Labs](https://github.com/Scottcjn). Built with the same ethos as the [OpenClaw Beacon](https://github.com/Scottcjn/beacon-skill) network — open discovery, interoperability, and agent autonomy. - -## License - -[![CC0](https://licensebuttons.net/p/zero/1.0/88x31.png)](https://creativecommons.org/publicdomain/zero/1.0/) - +- [Voyager](https://github.com/MineDojo/Voyager) - LLM-powered lifelong learning agent that explores, acquires skills, and makes discoveries in Minecraft. +- [Generative Agents](https://arxiv.org/abs/2304.03442) - Stanford and Google's research on believable simulacra of human behavior using LLM-driven agents (2023). +- [Toolformer](https://arxiv.org/abs/2302.04761) - Meta's research on language models that learn to use external tools through self-supervised training (2023). +- [ReAct](https://arxiv.org/abs/2210.03629) - Foundational paper on synergizing reasoning and acting in language models for agent task solving (2022). +- [Chain-of-Thought Prompting](https://arxiv.org/abs/2201.11903) - Google's paper showing intermediate reasoning steps improve complex task performance (2022). +- [MRKL Systems](https://arxiv.org/abs/2205.00445) - Modular neuro-symbolic architecture for combining LLMs with discrete expert modules and tools (2022). +- [Reflexion](https://arxiv.org/abs/2303.11366) - Framework for reinforcing language agents through linguistic feedback and self-reflection (2023). +- [Language Agent Tree Search](https://arxiv.org/abs/2310.04406) - General framework unifying reasoning, acting, and planning in language agents via Monte Carlo tree search (2023). +- [POWER8 Non-Bijunctive Collapse](https://github.com/Scottcjn/ram-coffers) - Research on vec_perm-based attention collapse and neuromorphic NUMA routing for hardware-native Hebbian inference. + +## Contributing + +Contributions welcome! Please read the [contribution guidelines](CONTRIBUTING.md) first. + +## Footnotes + +This list is maintained by [Elyan Labs](https://github.com/Scottcjn). Built with the same ethos as the [OpenClaw Beacon](https://github.com/Scottcjn/beacon-skill) network — open discovery, interoperability, and agent autonomy. + +## License + +[![CC0](https://licensebuttons.net/p/zero/1.0/88x31.png)](https://creativecommons.org/publicdomain/zero/1.0/) + To the extent possible under law, [Scottcjn](https://github.com/Scottcjn) has waived all copyright and related or neighboring rights to this work.