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Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: YOLO

Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: YOLO

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abhisheksharma001/README.md

Abhishek Sharma — Building autonomous AI agents & LLM systems

Focus Approach Followers

~/about

I build autonomous AI agents and LLM-powered systems — software that plans, calls tools, and acts, not just chats. My work spans agent orchestration with human-in-the-loop (HITL) controls, retrieval pipelines, the Model Context Protocol (MCP), and local-first agents that run on-device.

  • Designing agent loops with real sub-agents, tool use, and HITL checkpoints
  • Hybrid RAG + vector search (sqlite-vec) for grounded, low-latency retrieval
  • MCP ecosystems — wiring agents to GitHub, Composio, Context7 & more
  • Local-first / on-device agents (macOS, Swift) where privacy matters

Reach me by opening an issue or discussion on any repo below.

~/stack

TypeScript Python Swift MCP RAG sqlite-vec

~/featured

shiro

Local-first autonomous macOS AI agent. Real sub-agents, hybrid RAG (sqlite-vec), and a full MCP ecosystem (GitHub / Composio / Context7 / HF).

Swift

vapi-manager-agent

Autonomous forensic auditor for AI voice agents. Inspects and stress-tests agent behaviour. Hackathon proof-of-concept.

Python

mailflow

AI-powered email draft generation with a human-in-the-loop workflow — drafts proposed, you stay in control.

TypeScript

quill

AI draft generation with a HITL workflow — a focused take on assisted writing with approval gates.

TypeScript

~/stats

GitHub stats Top languages

GitHub streak

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  1. shiro shiro Public

    Local-first autonomous macOS AI agent — sub-agents, hybrid RAG (sqlite-vec), MCP ecosystem, bring-your-own-model

    Swift

  2. vapi-manager-agent vapi-manager-agent Public

    Autonomous forensic auditor for AI voice agents — extracts governance rules, scores transcripts, generates prompt fixes

    Python