AI channel
AI agents

Open-source AI agents

An AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.

How to choose

Compare three things. Which models it can use: a single provider, or any OpenAI-compatible endpoint including local ones. How it limits what the agent may do: sandboxing, approval steps and permission lists. And whether it keeps memory between steps and sessions. An agent that runs code or shell commands should run in a sandbox, so check that before giving it access to your machine.

Most-starred projects

1,729–1,752 of 3,152
rush86999

atom

898

Atom Agent, Open-Source Governed AI Agent Platform for Self-Hosted Automation

Python
898

A code-driven presentation generation framework. 像构建软件工程一样生成演示文稿。

Python
896

workshop materials to build intelligent solutions on Open AI

Python

A self-hosted web dashboard for the Hermes AI agent stack. Provides a browser-based terminal, file explorer, session overview, cron management, system metrics, and an agent status panel — all behind a single password gate.

JavaScript
Shy2593666979

AgentChat

894

AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。

Python
893

Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.

Python
instavm

coderunner

893

A local sandbox for your AI agents

Python
888

AI workflow automation plugin for intelligent code generation with Claude/Codex

TypeScript
hAcKlyc

MyAgents

887

MyAgents - 优雅、易用的 Agent 桌面端 ,一站式 Agent 工作台与任务中心

TypeScript
ix-infrastructure

Ix

887

Understand any codebase instantly. System intelligence for codebases, built for humans and AI.

TypeScript
887

Tracking prompts, feature flags and metadata of Claude Code releases. Subscribe to ↓

nuwax-ai

nuwax

887

Nuwax Agent OS - An enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base management, model proxy, memory system, and plugin ecosystem.

TypeScript
furkankly

zoetrope

886

Watch a Claude Code session as a live flow graph, in your terminal or your browser.

Rust
nolabs-ai

deepfabric

886

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

Python
884

A Claude Skill for creating academic presentations (conference talks, seminar slides, thesis defenses, grant briefings). Enforces action titles, structured argument, exhibit discipline, citation standards, and communication-first design. Works alongside Anthropic's built-in PPTX skill.

pocketpaw

pocketpaw

884

Your AI agent in 30 seconds. Not 30 hours. Self-hosted, open-source personal AI with desktop installer, multi-agent Command Center(Deep Work), and 7-layer security. Anthropic, OpenAI, or Ollama.

Python
884

🏆 Curated, ranked list of AI agent harnesses (100+) — plus an MCP server, llms.txt & JSON so agents can recommend them too. Rescored weekly.

Python
882

[dsh]为纯文本模型设计更强大的视觉工具箱:一行安装使用、粘贴图片直接识别、多张图片问答、截图到前端UI 还原等|DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, long-screenshot OCR, UI restoration, grounding, pixel diff, Artifacts, and Web UI.

TypeScript
hananedupouy

LLMs-in-Finance

882

LLMs in Finance - Generative AI - AI Agents

Jupyter Notebook

The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Azure Foundry, Azure Cosmos DB, and infrastructure services, it provides a reference application, allowing you to hit the ground running.

Python
huggingface

llm-ls

881

LSP server leveraging LLMs for code completion (and more?)

Rust
michaelshimeles

skills

881

Agent skills and an AGENTS.md workflow template — isolate in worktrees, build to a service layer, prove with evidence, ship with before/after proof and Greptile review loops. For Claude Code, Cursor, and Codex.

Python

From Early Internet Design Patterns to AI Agent Implementation — A Deep Dive into Claude Code for Developers

JavaScript
crabwise-ai

crabwalk

879

🦀 Crabwalk 🦀 Real-time companion monitor for OpenClaw agents.

TypeScript