Democratizing Reinforcement Learning for LLMs
MiroThinker is an open-source search agent model, built for tool-augmented reasoning and real-world information seeking, aiming to match the deep research experience of OpenAI Deep Research and Gemini Deep Research.
[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)
[COLM’25] DeepRetrieval — 🔥 Training Search Agent by RLVR with Retrieval Outcome
[Up-to-date] Awesome Agentic Deep Research Resources
An open-source LLM based automatically daily news collecting workflow showcase powered by Agently AI application development framework.
A MCP server providing real-time web search capabilities to any AI model.
8 Puzzle solver using uninformed and informed search algorithms as DFS, BFS and A*.
A RAG-based AI agent for breast cancer that uses Qdrant to retrieve answers, filter relevance, and grow its knowledge base.
Official code implementation for my ready tensor publication, an ai agent that retrieves data from a Turkish - Islamic website and uses the data as alignment criteria to answer the user
8 Puzzle Game Solver using A*, BFS and DFS
A self-contained AI project that runs a quantized Large Language Model (Qwen2.5-0.5B) entirely on your local machine. Built with FastAPI and llama-cpp-python, this agent intelligently switches between standard chat and "Search Mode" to fetch real-time data from the internet. The project features a responsive HTML/CSS/JS frontend and is fully Docker
Airweave lets agents search any app
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