Awesome MCP Servers - A curated list of Model Context Protocol servers
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tool-use
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TypeScript multi-agent framework — one runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs.
nodejs typescript orchestration multi-agent openai ai-agents claude structured-output model-agnostic tool-use task-scheduling agent-framework llm anthropic ollama
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- TypeScript
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
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- Python
Democratizing AI scientists with ToolUniverse
agents autonomous-agents ai-agents tool-use lrm ai-scientists llms reasoning-agent ai-for-science automated-science ai-communication co-pilot mcp-servers reasoning-language-models co-scientist scientific-skill
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- Python
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
mcp nvidia data-generation nemo sdg data-augmentation synthetic-data multimodal tool-use llm agentic-ai
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An autonomous agent that takes work, does work, gets paid, and gets better at it.
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- TypeScript
LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills
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- Python
Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.
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- Shell
"AnyTool: Universal Tool-Use Layer for AI Agents"
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Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
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TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
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- Python
kani (カニ) is a highly hackable microframework for tool-calling language models. (NLP-OSS @ EMNLP 2023)
framework openai llama microframework tool-use gpt-4 large-language-models llms chatgpt function-calling
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- Python
[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
agent benchmark program-synthesis gemini code-generation agents tool-use instruction-following gpt-4 large-language-models llm chatgpt function-calling deepseek claude-3
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- Python
ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers stronger security, better transparency, and a more user-friendly experience.
docker bioinformatics vue mcp sandbox self-hosted pubmed multi-agent wechat drug-discovery data-analysis scientific-research research-assistant fastapi tool-use feishu ai-agent llm langchain langgraph
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Paper collection on building and evaluating language model agents via executable language grounding
agent reinforcement-learning code-generation tool-use neural-symbolic large-language-models complex-reasoning language-agent llm-robotics web-grounding
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LLM-powered Agent Runtime with Dynamic DAG Planning & Concurrent Execution
python ai connector mcp nextjs dag ai-agents rag fastapi tool-use ai-agent llm function-calling react-agent openai-compatible
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(NeurIPS 2024) AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
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- Python
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