Open Source AI Agents Apps

Discover open source AI agent frameworks, runtimes, and orchestration tools. Build autonomous agents that plan, use tools, and execute multi-step tasks.

87 apps available

Apps in AI Agents

Rust
74%
MIT

squad

AI Agents · Collaboration · Developer Tools

822

A daemonless Rust CLI that lets multiple AI coding agents collaborate across terminals through a shared SQLite database instead of a server.

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43
Repo Health
73
Technical
79
Dependency
Built with
Rust 74%
Shell 14%
HTML 12%
Updated 4 months ago
Rust
54%
Other

Cameleer

AI Agents

23

A local-first desktop workspace for managing AI agents in an enterprise-style workflow — agent directory, Kanban task tracking, workspace chat, and a full runtime/audit log of agent actions and tool approvals.

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40
Repo Health
65
Technical
76
Dependency
Built with
Rust 54%
JavaScript 24%
TypeScript 15%
Updated 2 months ago
TypeScript
82%
MIT

clawless

AI Agents · Developer Tools

536

Run Claw AI agents entirely in the browser — no server required — with WebContainers WASM sandboxing, policy enforcement, and complete audit logging.

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38
Repo Health
71
Technical
85
Dependency
Built with
TypeScript 82%
Updated 3 months ago
Go
99%
Apache 2.0

klaw

AI Agents · Devops

636

kubectl for AI Agents — manage, schedule, and scale your AI workforce with a single binary that deploys in seconds.

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38
Repo Health
74
Technical
82
Dependency
Built with
Go 99%
Updated 6 months ago
JavaScript
50%
AGPL 3.0

QRev

AI Agents · CRM

363

Open source AI-first sales platform that replaces Salesforce with autonomous agents handling prospecting, outreach, and lead management at scale.

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38
Repo Health
68
Technical
63
Dependency
Built with
JavaScript 50%
Python 28%
TypeScript 14%
Updated 8 months ago
Go
86%
Apache 2.0

fabrica

AI Agents · AI Development · Devops

45

Ephemeral, VM-isolated "Agent Computers" for AI agents — a Kubernetes-native REST API backed by Kata Containers microVMs.

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35
Repo Health
75
Technical
81
Dependency
Built with
Go 86%
Updated 2 months ago
Python
83%
MIT

autoresearch

AI Agents · AI Development

96,897

Give an AI agent a real LLM training setup and let it experiment autonomously overnight — you wake up to a log of experiments and (hopefully) a better model.

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34
Repo Health
77
Technical
80
Dependency
Built with
Python 83%
Jupyter Notebook 17%
Updated 6 months ago
TypeScript
96%

Open Scouts

AI Agents · Automation

1,372

Create automated AI scouts that continuously search the web and send email alerts when they find what you're looking for.

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34
Repo Health
65
Technical
69
Dependency
Built with
TypeScript 96%
Updated 4 months ago
TypeScript
95%
MIT

understudy

AI Agents · Automation

459

Open-source local AI agent that operates your entire computer — GUI, browser, shell, and messaging — from a single instruction, using your own models.

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33
Repo Health
79
Technical
73
Dependency
Built with
TypeScript 95%
Updated 3 months ago
TypeScript
100%
Apache 2.0

agentic-inbox

AI Agents · Mcp · Productivity

8,118

A self-hosted email client with an AI agent that reads your inbox, drafts replies automatically, and exposes full email operations over MCP — running entirely on Cloudflare Workers.

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31
Repo Health
74
Technical
77
Dependency
Built with
TypeScript 100%
Updated 5 months ago
JavaScript
94%
AGPL 3.0

MyApi

AI Agents

23

A privacy-first personal API gateway for AI agents — connect your services once, issue scoped tokens to agents like OpenClaw, Hermes, or Claude Code, and keep a full audit trail instead of scattering raw credentials across .env files.

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28
Repo Health
64
Technical
73
Dependency
Built with
JavaScript 94%
Updated 1 months ago
Rust
79%
MIT

mnemo

AI Agents · AI Development · AI Memory

236

A local-first AI memory sidecar that extracts entities, builds a persistent knowledge graph, and injects ranked context into any LLM pipeline — no cloud required.

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27
Repo Health
78
Technical
75
Dependency
Built with
Rust 79%
Python 16%
Updated 4 months ago

About AI Agents

AI Agents are autonomous software systems that go beyond chatting — they perceive context, plan multi-step workflows, call external tools, write and execute code, and loop until a goal is achieved. Unlike traditional AI assistants that respond to single prompts, agents operate over extended horizons, recovering from failures and adapting to new information.

The open-source ecosystem has exploded with agent frameworks, runtimes, memory systems, and orchestration layers — giving developers full control over how agents reason, what tools they access, and how they handle long-running tasks without being locked into a proprietary platform.

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