A

agent

🔧🔗https://github.com/OvertliDS/mcp-searxng-enhanced Enhanced MCP server for SearXNG: category-aware web-search, web-scraping, and date/time retrieval.

🔧🔗https://github.com/bytedance/deer-flow DeerFlow is a community-driven framework for Deep Research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

🔧🔗https://github.com/All-Hands-AI/OpenHands

🙌 OpenHands: Code Less, Make More

🔧🔗https://github.com/invariantlabs-ai/mcp-scan Constrain, log and scan your MCP connections for security vulnerabilities.

🔧🔗https://github.com/mem0ai/mem0 Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.

🔧🔗https://github.com/modelscope/ms-swift

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs.

🔧🔗https://github.com/HumanSignal/Adala

Adala: Autonomous DAta (Labeling) Agent framework

https://github.com/InternLM/lagent A lightweight framework for building LLM-based agents

Tart Guest Agent

🔧🔗https://github.com/cirruslabs/tart-guest-agent Guest agent for Tart VMs

fantasy

https://github.com/charmbracelet/fantasy Build AI agents with Go. Multiple providers, multiple models, one API 🧙

🔧🔗https://github.com/hiyouga/LLaMA-Factory Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Cipher

🔧🔗https://github.com/campfirein/cipher Cipher is an opensource memory layer specifically designed for coding agents. Compatible with Cursor, Windsurf, Claude Desktop, Claude Code, Gemini CLI, AWS's Kiro, VS Code, Roo Code, Trae, and Warp through MCP. Built by https://byterover.dev/

https://github.com/princeton-nlp/SWE-agent SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

🔧🔗https://github.com/HKUDS/AI-Creator

"AI-Creator: Multi-Modal Agents for Video Production"

skills

🔧🔗https://github.com/maragudk/skills

Skills for AI agents.

https://github.com/InternLM/xtuner An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

🔧🔗https://github.com/codelion/optillm Optimizing inference proxy for LLMs

Ai Engineering Hub

🔧🔗https://github.com/patchy631/ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

https://github.com/fishaudio/Bert-VITS2 vits2 backbone with multilingual-bert

🔧🔗https://github.com/QwenLM/Qwen-Agent Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.