#Tool-use
Showing 32 of 32 repositories tagged #tool-use, ranked by stars
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability β leave it running.
π¨ NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
Democratizing AI scientists with ToolUniverse
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
Open-source agent platform for Global Γ China enterprises β wire every system through one agent core. Self-hosted, any LLM.
An autonomous agent that takes work, does work, gets paid, and gets better at it.
Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.
kani (γ«γ) is a highly hackable microframework for tool-calling language models. (NLP-OSS @ EMNLP 2023)
TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.
Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.
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.
[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
One agent. Every kind of work.
AGI-oriented, hallucination-resistant AI coding runtime grounded in evidence, tools, memory, agents, and verification.
AgenticX is a unified, production-ready multi-agent platform β Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
Rails Engine with MCP compliant Spec.
Build an AI agent harness in Rust, from a minimal loop to tools, subagents, memory, teams, worktrees, MCP, and typed tool routing.
δ» 165 δΈͺι‘ΆηΊ§ AI δΊ§εη³»η»ζη€Ίθ―δΈθΈι¦εΊη 15 δΈͺε―ζ§θ‘ Agent skill
Curated collection of tools for agentic LLMs in Emacs
SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.
A travel agent based on Qwen2.5, fine-tuned by SFT + DPO/PPO/GRPO using traveling question-answer dataset, a mindmap can be output using the response. A RAG system is build upon the tuned qwen2, using Prompt-Template + Tool-Use + Chroma embedding database + LangChain
Model-agnostic agent harness for Elixir
Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models
SirChatalot is a Telegram bot leveraging ChatGPT, Claude or YandexGPT. It uses Whisper for speech-to-text and DALL-E, Stability AI or YandexART for image creation. It can use vision capabilities, tools and semantic search in vector DB.
Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval And Synthesis For SLMs
Is your CLI ready for AI agents? Automated checks to ensure optimum agentic CLI use: don't block agents, don't waste tokens, ensure safe use.
AI/LLM tool use (function calling) JSON Schema generator - a Kotlin multiplatform library
PHP client for the Anthropic API: messages, streaming, tool use, thinking, web search, code execution, batches, and more.
Agent Platform for AI-Native Companies
Complete Implementation of 21 Agentic Design Patterns A comprehensive collection of production-ready AI agent patterns, each as a runnable project. Master agentic design through practical examples covering prompt chaining, multi-agent systems, RAG, and more. Perfect for AI developers, researchers, and teams building complex AI workflows
A controlled-experiment lab for studying how tool-using LLM agents behave β vary tools, personas, and conversation histories, run repeated trials across models, and measure the effect on safety and tool-call behavior.
AI Agents internals - system prompts, tool architectures, and implementation patterns