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Autonomous AI Agent Orchestration Platform

3 starsTypeScript

AutosClaw – security first *claw with live chat to any agent session

by fbreuer·Mar 4, 2026·1 point·0 comments
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AI Analysis

●●SolidShip ItWizardry

Claude orchestration with live dashboards and agent-spawning—well-built but competes with Anthropic, OpenAI infrastructure.

Strengths
  • •True multi-agent orchestration: agents spawn, list, and coordinate via MCP tools—not just isolated task runners.
  • •Ephemeral Docker isolation + project-scoped secrets + fast UI reload create tight dev loop for agent development.
  • •8K LOC shipped as full-stack TypeScript (backend+frontend)—demonstrates real execution and completeness.
Weaknesses
  • •Positioned against established agent platforms (OpenAI Swarms, Anthropic's guidance); unclear cost/scale story vs cloud offerings.
  • •Security model (ephemeral containers + MCP tools) is sound but requires self-hosting—limits accessibility vs managed platforms.
Target Audience

ML engineers, autonomous agent builders, teams using Claude for automation

Similar To

OpenAI Swarms · Anthropic Agent Guides · Temporal

Post Description

Hi HN,

I'm Florian, a keen observer in the Open/Nano/claw space. I programmed AutosClaw as an exercise in understanding the trust models that these personal assistants use.

This AutosClaw features:

* All agents running in ephemeral Docker container (like nanoClaw)

* Agents can have the ability to spawn asynchronous agents

* Project based secrets (Github tokens), that can be inherited by all agents in that project (and their spawned agents)

* A real-time dashboard with all running/deleted agents with full history

* A fast reload directly from UI (enables an agent PR -> Github repo review -> direct reload workflow)

* A chat view, in which you can directly interact with any agent orchestrated on the platform.

It is implemented in 8,017 lines of Typescript code (backend + frontend)

This is my first Show HN, I hope someone out there finds it useful :)

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