A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
- Stars
- 1,881
- Star gain
- +7
- Growth score
- 0.0037
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A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
196 production-ready AI agent templates for OpenClaw. SOUL.md configs across 24 categories. Submit yours!
Copy/paste detector for source code. 220+ languages, Rust engine, SARIF/HTML/badge reporters, GitHub Action, MCP server for AI agents.
A test runner for agentskills.io-style AI agent skills
A skill for AI agents: search the web with SearXNG, browse with Camofox, bypass protections with CloakBrowser. Anti-hallucination by design. Self-hosted, free, unlimited.
🎉 An awesome & curated list of best LLMOps tools.
基于ragflow二次开发的后台管理系统,可以独立运行,支持批量管理知识库、聊天、智能体、用户等,解决ragflow在后台管理上的痛点。
Docmost is an open-source collaborative wiki and documentation software. It is an open-source alternative to Confluence and Notion.
Draw and edit draw.io diagrams by chatting with an AI. Web app, desktop app, and an MCP server for Claude Code, Cursor, Codex and VS Code.
A curated list of Model Context Protocol (MCP) servers
AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution.
May the agents talk. Connect Claude Code, Opencode, Codex, Pi across projects, across machines and with your telegram
No description provided.
🧠 RepoBrain (formerly Antigravity) — Give your repo a brain. ChatGPT for your codebase: works in Claude Code, Cursor, Codex, Windsurf & more.
Open-source Video Translation Skill
Mobile first batteries included web ui for sst/opencode. Git integration, in browser terminal, isolated workspaces.
Model Context Protocol for WinDbg.
MiniMax M2.1, a SOTA model for real-world dev & agents.
GPU Profiler for AI agents
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
Momentum Score compares the latest star count with a baseline for the selected window: ln((current stars + 1) / (baseline stars + 1)). Rankings include repositories with positive star gain.
Seven-day and thirty-day history may use estimates reconstructed from GitHub star creation history; estimated values are labeled. The twenty-four-hour ranking uses measured snapshots only.