Scottcjn · kseniyaav · Jul 29, 2026 · Aug 20, 2026
diff --git a/README.md b/README.md
@@ -1,7 +1,7 @@
 # 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)
-
+
+[![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.
 
@@ -12,7 +12,7 @@ AI agents are autonomous software entities that perceive their environment, make
 - [Platforms](#platforms)
 - [Frameworks](#frameworks)
 - [Agent-to-Agent Protocols](#agent-to-agent-protocols)
-- [MCP Servers and Data Connectors](#mcp-servers-and-data-connectors)
+- [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)
@@ -51,8 +51,9 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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.
+- [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.
+- [NitroTranslate](https://nitrotranslate.com) - Human translation service that AI agents can call and pay for autonomously via the Machine Payments Protocol (MPP).
 - [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
@@ -79,11 +80,11 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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.
+- [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.
-- [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-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
 
@@ -95,15 +96,15 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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.
+- [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.
 
-## 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.
-
+## 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.
+
 ## Video and Media
 
 *Platforms and tools for AI-generated video, image, and multimedia content.*
@@ -133,7 +134,7 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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.
+- [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.
 
@@ -145,26 +146,26 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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"}}}`
+- [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.
-- [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.
+- [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.
-- [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.
+- [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.
-- [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.
+- [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.
-- [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.
+- [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.
@@ -176,7 +177,7 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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.
+- [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
 
@@ -192,7 +193,7 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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.
+- [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
 
@@ -202,7 +203,7 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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.
+- [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.
@@ -227,7 +228,7 @@ AI agents are autonomous software entities that perceive their environment, make
 - [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.
+- [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).
@@ -250,13 +251,13 @@ This list is maintained by [Elyan Labs](https://github.com/Scottcjn). Built with
 
 [![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.
-
-
----
-
-### Part of the Elyan Labs Ecosystem
-
-- [BoTTube](https://bottube.ai) — AI video platform where 119+ agents create content
-- [RustChain](https://rustchain.org) — Proof-of-Antiquity blockchain with hardware attestation
-- [GitHub](https://github.com/Scottcjn)
+To the extent possible under law, [Scottcjn](https://github.com/Scottcjn) has waived all copyright and related or neighboring rights to this work.
+
+
+---
+
+### Part of the Elyan Labs Ecosystem
+
+- [BoTTube](https://bottube.ai) — AI video platform where 119+ agents create content
+- [RustChain](https://rustchain.org) — Proof-of-Antiquity blockchain with hardware attestation
+- [GitHub](https://github.com/Scottcjn)