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

3,577–3,600 of 3,726
kelos-dev

kelos

326

Kelos - The Kubernetes-native framework for orchestrating autonomous AI coding agents.

Go
kunchenguid

kun

326

Think and build like a principal engineer. Leverage Kun's experience, knowledge, tools, workflows, and skills to help you get shit done.

kunchenguid

vision

326

Agent skill that mines your repo's history to draft a VISION.md, stress-tests it with hard hypotheticals, and iterates with you on an interactive review board.

HTML
MaySudo

Misceo

326

Local Anthropic-compatible AI gateway with cheap-first routing, quality gates, safe model handoffs, and an embedded cost dashboard.

rengwu

chartr

326

Agent multiplexer with spaces, panes, and plugins

Go
huisezhiyin

sdd-riper

325

Lightweight AI Agent Harness for agentic coding: let strong models explore while humans steer with minimal specs, checkpoints, approval, validation, and reverse sync.

Python
inhouseseo

superseo-skills

325

11 Claude skills for SEO: page audits, linkbuilding, article writing, E-E-A-T audits, semantic gap analysis, link building. Methodology from Koray Tuğberk, Kyle Roof, and Lily Ray, plus a generation-time anti-AI-slop ruleset. Production-tested at InhouseSEO

mahimairaja

voiceai

325

Set of 📝 with 🔗 to help those building Voice AI agents 🎙️🤖

rixinhahaha

snip

325

The visual communication layer between humans and AI agents. Capture, annotate, render diagrams, and organize with AI — powered by Electron and Ollama. macOS & Linux.

JavaScript
shengsheng90

DSH-taskboard

325

Native local Taskboard plugin for DeepSeek Harness. SQLite-backed projects, Agent claim/review, and a native Web UI — no iframe, no second chat runtime.

TypeScript
kris-hansen

comanda

324

The CLI-native orchestrator for AI agent workflows. Run Claude Code, Codex, Gemini CLI & Kimi Code from declarative YAML. Because the terminal is where real work happens.

Go
linkerlin

PUAX

324

用来驯服AI Agent的效果绝佳的多角色 Prompt SKILLs!

TypeScript
yee-yore

DorkAgent

324

🤖 LLM-powered agent for automated Google Dorking in bug hunting & pentesting.

Python
0xranx

golembot

323

Any Agent × Any Provider × Anywhere. Connect Cursor, Claude Code, OpenCode, or Codex to Slack, Telegram, Discord, Feishu, DingTalk, WeCom, WeChat — with any LLM provider.

TypeScript
bibinprathap

VeritasGraph

323

VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.

Python
Encod3d-Sec

TORCH

323

Karpathy LLM based claude harness for PenetrationTesting / Bugbounty using obsidian

Python
323

Benjamin-Plus: a measured token-efficiency skill for coding agents (−17.9% cost median, quality unchanged). Inject it, don't install it.

Shell
railwayapp

railway-skills

323

Agent skills for interacting with Railway

Python
rush-db

rushdb

323

RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.

TypeScript
superagents-lab

xcode27-skills

323

Apple's official Agent Skills exported from Xcode 27 — SwiftUI, UIKit modernization, Swift Testing, C bounds-safety, and security hardening for AI coding agents.

Python
thecodacus

understory

323

understory — memory that grows. Self-wiring, plain-markdown memory for AI agents (MCP + local models + a living graph).

TypeScript

Deep Research workflow on Dify: cascaded multi-source search → outline → cited long-form report. Credited in Awesome-Dify-Workflow.

Advai-X

advai-cli

322

Local-first CLI for agent skills, browser automation, knowledge bases, external CLIs, and terminal AI chat.

Python