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Octopodas

Give your AI Agents a Brain.

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Octopoda is an open source infrastructure layer that gives AI agents persistent memory, automatic loop detection, and full observability. Agents forget everything between sessions.

Octopoda fixes that with a remember/recall API that survives restarts, crashes, and deployments.

The loop detection system monitors 5 signals to catch agents stuck repeating themselves before they burn your API budget, with real-time cost estimation showing exactly how much each loop wastes.

A built-in dashboard shows every agent's health score, memory explorer with version history, audit trail logging every decision with reasoning, and a timeline replay that lets you scrub through everything your agent did step by step.

Works with LangChain, CrewAI, AutoGen, and OpenAI Agents SDK with one-line integrations. Runs locally with SQLite or connects to cloud with one environment variable. Free tier, MIT licensed. 177 signups, 120 GitHub stars, zero marketing spend.

About Octopodas

Octopodas is a development product listed on Uneed, available for free. It's tagged with Open Source, AI. See the best Open Source products for related options.

Frequently asked questions about Octopodas

What is Octopodas?

Octopodas is give your AI Agents a Brain.

Is Octopodas free?

Yes, Octopodas is free to use.

What are alternatives to Octopodas?

Discover similar open source, ai products in the Uneed directory.

What category does Octopodas belong to?

Octopodas is listed under Development on Uneed.

What users say about Octopodas

Russlan Ramdowar

The memory version history and timeline replay are compelling. How do you distinguish a genuine loop from deliberate iterative refinement? A useful detector probably needs more than repeated text: tool-call graph, state delta, objective progress, external side effects, and budget trajectory. Are the five signals configurable per agent, and can the detector emit a machine-readable stop or escalate decision rather than only an alert?

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