hephaestus

Agentlas OS

Build it or borrow it. The agents you create stay yours.
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.
Run them through supported hosts for the LLMs you already use. Hephaestus is the open-source engine underneath.

We are Agent Trust. Your agent is not a program. It is an asset. — Agentlas —

_{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.}

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Paste to Install

Paste this into the LLM you are using now, such as Claude Code, Codex, Gemini CLI, Antigravity, or Cursor:

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.

_{Build, own, borrow, and run agents across your local workspace, private Agent Cloud, and the public Agentlas Hub.}

Agentlas Desktop in motion

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 →
Orchestrate a team Combine local agents and borrowed Hub specialists into one orchestrator. Roles stay explicit while Agentlas manages routing, handoffs, and review boundaries. Explore Agentlas OS →
Run and verify locally