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
72%
Apache 2.0

Rivet

AI Agents · Developer Tools

6,195

Stateful actors as a primitive for AI agents, real-time collaboration, and durable execution — with in-memory state, WebSockets, queues, and scheduling built in.

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86
Repo Health
81
Technical
64
Dependency
Built with
Rust 72%
TypeScript 25%
Updated 1 weeks ago
Rust
85%
Apache 2.0

OpenShell

AI Agents · Developer Tools

8,811

The safe, private runtime that lets autonomous AI agents operate in sandboxed environments governed by declarative YAML policies — blocking data exfiltration, credential leaks, and unauthorized network activity before they happen.

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85
Repo Health
81
Technical
68
Dependency
Built with
Rust 85%
Updated 5 days ago
Rust
94%
Apache 2.0

herdr

AI Agents · Developer Tools

41,057

A terminal-native agent multiplexer that runs Claude, Codex, Gemini, and other coding agents side by side in real, persistent panes you can detach from and reattach to from anywhere.

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84
Repo Health
84
Technical
72
Dependency
Built with
Rust 94%
Updated 6 days ago
Rust
71%
Apache 2.0

mesh-llm

AI Agents · AI Development

3,463

Mesh LLM pools GPUs and memory across every machine you own into one OpenAI-compatible API, so agents tap distributed compute instead of a single GPU box or a metered cloud bill.

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84
Repo Health
91
Technical
69
Dependency
Built with
Rust 71%
TypeScript 13%
Python 10%
Updated 5 days ago
Rust
95%
Apache 2.0

obscura

AI Agents · Developer Tools

28,080

A lightweight, stealthy headless browser written in Rust — drop-in compatible with Puppeteer and Playwright, built for AI agents and web scraping at scale.

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83
Repo Health
79
Technical
72
Dependency
Built with
Rust 95%
Updated 6 days ago
Rust
50%
Apache 2.0

Vibe Kanban

AI Agents · AI Code Assistants · Project Management

28,209

A kanban board for planning work and dispatching Claude Code, Codex, Gemini CLI, and eight other coding agents into isolated git worktrees, then reviewing and merging their diffs from one UI.

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75
Repo Health
75
Technical
64
Dependency
Built with
Rust 50%
TypeScript 46%
Updated 2 weeks ago
Rust
89%
Apache 2.0

OpenFang

AI Agents

18,210

An open-source "Agent Operating System" built in Rust — a single binary providing a kernel, memory, skills, extensions, and multi-channel runtime for running AI agents, with 1,700+ tests and zero clippy warnings.

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52
Repo Health
73
Technical
68
Dependency
Built with
Rust 89%
Updated 3 months ago
Rust
95%
MIT

claw-code

AI Agents · AI Code Assistants

195,291

A Rust-built CLI agent harness for Claude AI with persistent sessions, MCP tool integration, plugin hooks, and multi-provider support — designed to run autonomous coding workflows without human babysitting.

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51
Repo Health
71
Technical
77
Dependency
Built with
Rust 95%
Updated 1 months ago
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
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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