AI agents forget everything between sessions. No visibility into what they know, no audit trail, no way to roll back when things break. Octopoda fixes this. Persistent memory, semantic search, shared knowledge between agents, version history, conflict detection, loop detection, audit trail, and snapshot recovery. All with a real-time dashboard to see inside your agent's brain. Works with LangChain, CrewAI, AutoGen, and any Python framework. Three lines of code. 300+ devs signed up in week one.

AppSignal — Track your app’s health, errors and performance with ease

Track your app’s health, errors and performance with ease

Hey Product Hunt! I'm Joe, the founder of Octopoda. I've been building AI agents for the past year and the hardest part was never the AI itself. It was everything around it. Agents that forget customers mid conversation. No way to tell why an agent made a bad decision. Multi agent teams where nobody knows who told who what. And the worst one, agents silently looping on the same task burning tokens for hours. So I built the tool I wished existed. Octopoda started as a simple memory layer but evolved into a full brain management system for AI agents. Memory, observability, audit trail, loop detection, conflict detection, and recovery all in one. We launched a week ago and already have 300+ signups with developers actively building on it. One user has stored over 700k memories already. Would love your feedback. What is the biggest pain point you hit when building with AI agents?

AppSignal — Track your app’s health, errors and performance with ease

Track your app’s health, errors and performance with ease

Octopoda

See inside your AI agent's brain. Memory, loops, audit

See inside your AI agent's brain. Memory, loops, audit