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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
| Date | Stars |
|---|---|
| 2026-07-24 | 1016 |
| 2026-07-25 | 1080 |
| 2026-07-28 | 1080 |
| 2026-07-30 | 1080 |
| 2026-07-31 | 1120 |
| 2026-08-06 | 1120 |
Today
— stars today
This week
+40 stars this week
This month
— stars this month
Momentum
102.8
growth rate 3.70%/day
<p align="center">
<a href="https://agentlas.cloud/studio">
<img src="assets/readme/agentlas-one-launch-film-v2.gif" alt="Agentlas One launch film" width="960">
</a>
</p>
<p align="center">
<a href="https://agentlas.cloud">
<img src="assets/agentlas-agent-lab-banner.svg" alt="Agentlas Agent Lab banner">
</a>
</p>
<h1 align="center">Agentlas OS</h1>
<p align="center">
<strong>Build it or borrow it. The agents you create stay yours.</strong><br>
Turn a plain-language request into a runnable agent or team, borrow specialists from the public Agentlas Hub,
and keep the agents you create available through your private, owner-scoped Agent Cloud.<br>
Run them through supported hosts for the LLMs you already use. Hephaestus is the open-source engine underneath.
</p>
<p align="center">
<strong>We are Agent Trust. Your agent is not a program. It is an asset. — Agentlas —</strong>
</p>
<p align="center">
<sub>An agent you create is not tied to one model workspace or computer. To retrieve it from Cloud elsewhere, install Agentlas OS on a supported host and sign in.</sub>
</p>
<p align="center">
<a href="https://github.com/agentlas-ai/Agentlas-OS/releases/latest">
<img alt="Latest release" src="https://img.shields.io/github/v/release/agentlas-ai/Agentlas-OS?label=release">
</a>
<a href="LICENSE">
<img alt="License: Apache-2.0" src="https://img.shields.io/badge/license-Apache--2.0-green">
</a>
<img alt="LLMs" src="https://img.shields.io/badge/LLMs-Claude%20Code%20%7C%20Codex%20%7C%20Gemini%20%7C%20Antigravity%20%7C%20Cursor%20%7C%20DeepSeek%20%7C%20GLM%20%7C%20Ollama-black">
</p>
<p align="center">
<a href="README.md">English</a>
·
<a href="README.ko.md">Korean</a>
·
<a href="README.zh-CN.md">中文</a>
·
<a href="README.ja.md">日本語</a>
·
<a href="README.hi.md">हिन्दी</a>
</p>
## Paste to Install
Paste this into the LLM you are using now, such as Claude Code, Codex,
Gemini CLI, Antigravity, or Cursor:
```text
Install Agentlas OS / Hephaestus from this GitHub repo:
https://github.com/agentlas-ai/Agentlas-OS
Run the repository's canonical one-touch installer so the durable host command
adapters are installed too; do not stop after only installing the marketplace
plugin:
curl -fsSL https://raw.githubusercontent.com/agentlas-ai/Agentlas-OS/main/scripts/install-all-runtimes.sh | HEPHAESTUS_INSTALL_GLOBAL_ROUTER=1 bash
For Claude Code, confirm that `hephaestus@agentlas-core-engine` is enabled at
user scope and that `~/.claude/commands/hep-build.md` exists. Do not report the
install complete unless bare `/hep-build` commands will be available in the
next session. At the end, confirm the active plugin, command surface, and global
routing status, then tell me to restart the host or run `/reload-plugins`.
```
Use this when you are already inside an LLM and want the Agentlas command
surface active there. For direct shell commands, see the install methods below.
<p align="center">
<a href="https://agentlas.cloud/desktop">
<img src="assets/readme/agentlas-desktop-hero.png" alt="Agentlas Desktop dashboard with local agents, owner-private Agent Cloud, Hub specialists, connected model hosts, and automations" width="960">
</a>
</p>
<p align="center">
<sub>Build, own, borrow, and run agents across your local workspace, private Agent Cloud, and the public Agentlas Hub.</sub>
</p>
## Agentlas Desktop in motion
<table>
<tr>
<td width="42%" valign="middle">
### Build an owned agent
Describe the work in plain language. Agentlas classifies the request, runs the interview and research gate, generates the package, verifies it, then asks whether to keep it only on this computer or save it privately in Agent Cloud for restore on another signed-in Desktop.
[Agentlas Desktop →](https://agentlas.cloud/desktop)
</td>
<td width="58%">
<a href="https://agentlas.cloud/desktop"><picture><source srcset="assets/readme/feature-wall/workflow-build-pipeline.gif" type="image/gif"><img src="asExcerpt of 40,858 characters
Read on GitHub
379
49
17
Claude · @anthropics
4
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d44458c235200a31, topic:ai-agents, topic:agents, topic:autonomous-agents