samhotchkiss

🦦 otter.camp — Work management for AI agent teams

206
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100% credibility
Found Feb 10, 2026 at 199 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

Otter Camp is an open-source self-hosted dashboard for coordinating AI agent teams, preserving context across sessions, managing workflows in Git repositories, and tracking agent performance on top of the OpenClaw runtime.

How It Works

1
🌐 Discover Otter Camp

You find Otter Camp online and learn it's a friendly dashboard to manage teams of helpful AI assistants that remember everything and work together on projects.

2
📥 Bring it home

Download the free tool to your computer and start it up with a simple command that sets up your private workspace.

3
🔗 Link your AI brain

Connect it to your existing AI runtime so your assistants can start thinking and sharing knowledge.

4
👥 Build your team

Hire AI helpers for writing, coding, or planning right from the dashboard, each with their own memory and personality.

5
🚀 Launch a project

Create a shared space for your work like blog posts or code, where assistants collaborate, review each other, and wait for your okay before shipping.

6
📊 Watch and guide

See live updates on what your team is doing, give feedback, and track who excels so you can celebrate successes.

🎉 AI team thrives

Your assistants handle the routine work reliably while you focus on big ideas, with full control and no data leaving your machine.

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AI-Generated Review

What is otter-camp?

Otter-camp is open-source work management for AI agent teams, built in Go atop the OpenClaw runtime. It lets you spin up agents via a React UI in seconds, preserves context with overnight memory compaction, and runs Git-based pipelines for code, content, or any task—complete with peer reviews, human gates, and performance dashboards. Self-hosted with Postgres, it keeps your otter.camp agent teams organized without cloud dependencies.

Why is it gaining traction?

Unlike scattered agent scripts or proprietary platforms, it unifies hiring/firing, versioned workflows, and metrics in one Git-centric dashboard—fixing blocked queues and lost context that plague agent swarms. Quick Docker Compose setup and Makefile dev flow hook devs fast, while otter campground-style self-hosting appeals to privacy-focused teams. 206 stars signal rising interest in practical AI ops tools.

Who should use this?

Engineering managers running agent teams for code reviews, blog pipelines, or devops automation. Indie devs at otter camp wekiwa-style hackathons prototyping multi-agent systems. Go shops extending OpenClaw for custom otter campbell agent management without rebuilding from scratch.

Verdict

Grab it if you're assembling AI agent teams—polished Dockerized Go with strong tests and intuitive UI make evaluation easy. 1.0% credibility score and low stars flag early maturity, so test locally via `make dev` and hit Discord for gaps.

(198 words)

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