TypeScript multi-agent framework — one runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs.

Awesome MCP Servers - A curated list of Model Context Protocol servers

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

Democratizing AI scientists with ToolUniverse

An autonomous agent that takes work, does work, gets paid, and gets better at it.

LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.

"AnyTool: Universal Tool-Use Layer for AI Agents"

Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

kani (カニ) is a highly hackable microframework for tool-calling language models. (NLP-OSS @ EMNLP 2023)

Simple to install, powerful command-line based AI agent system for coding.

[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI

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.

MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use.

Paper collection on building and evaluating language model agents via executable language grounding

LLM-powered Agent Runtime with Dynamic DAG Planning & Concurrent Execution

A working pattern for SSE-based MCP clients and servers

(NeurIPS 2024) AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning