Octopoda OS

Persistent memory, loop detection, audit trails, and live observability — automatic on pip install. Octopoda is the missing layer between your AI agents and a working production system. Think of it as the brain stem your agents always needed but never had. You write your agent however you like. Pure Python, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, MCP. Octopoda sits underneath and quietly handles the boring stuff that makes agents actually usable. Persistent memory that survives every restart. Loop detection that flags a stuck agent in seconds with structured signals you can wire into your runtime to pause or alert. A full audit trail of every decision, every memory write, every recovery, with a verifiable hash chain available via the audit-v2 API. A live dashboard that finally lets you see what your agents are doing. It runs locally with one pip install and zero infrastructure. When you outgrow that, the same code syncs to the cloud with a single environment variable. No re-architecture, no migration, no lock-in. The whole thing is open source under MIT. If you have ever shipped an AI agent and watched it forget who you are, loop on a failing API call for hours, or just disappear into a black box you cannot debug, this is the thing you wished existed.