Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.
Semantic code intelligence MCP server for Claude Code - project maps, symbol search, impact analysis, and more
Installable agent skills for browser automation, local knowledge, skill management, external CLI workflows, and session handoffs.
Resource-aware multi-agent orchestration for Codex and DeepSeek Harness (All in Flash DSH plugin)
Agent coordination protocol — declare intents, lock symbols, detect conflicts before code is written
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.
Web, Desktop & Mobile client for Codex, Claude Code, OpenCode, Kimi, Augment Code, Qwen, fully end-to-end encrypted
Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python.
Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.
A Boris-style agentic orchestrator TUI that supervises headless Claude Code agents through a gated software-delivery pipeline — pointed at any repository.
Structured skill framework for Claude Code. 130 skills, persistent memory, TokenStack compression, localhost dashboard with 3-agent runner, real-time streaming, MCP tools.
A Claude Code skill that 10x's your effective context window by dispatching tasks to background AI workers.
Repo dependency analyzer with **blast-radius impact scoring** for AI-assisted development.
Launch and manage anti-detect browsers with unique real-device fingerprints for multi-account operations, web scraping, ad verification, and AI agent automation.
Evaluate agent skill quality. Find the weakest link. Fix it. Prove it worked.
Laravel Loop is a powerful Model Context Protocol (MCP) server designed specifically for Laravel applications. It connects your Laravel application with AI assistants using the MCP protocol.
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.
Android in docker solution with noVNC supported, video recording and mcp server

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
The one and only agent harness for complex codebases. Project memory, planning, execution, and verified completion inside Codex.
🧑🎨 A collection of Golang agentic skills that works
mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.