Agent Memory Debugger
See what changed in your AI agent's memory and undo it
- Problem
- Once an AI agent persists memory, developers struggle to trace what a given conversation wrote into it, causing sudden behavior changes with no clear cause. Existing experimental tools only show changes, lacking undo and replay.
- Solution
- An observability and version-control layer for AI agent memory: record every write, update, and delete, show diffs, and allow rolling back to a point in time or undoing a single memory. Support storage adapters for major agent frameworks.
- Users
- Developers building long-running AI agents and AI product teams
- MVP
- Integrate one common agent memory store (e.g. vector DB or JSON file); auto-record diff for each change; provide timeline view; support undoing a single memory; export audit logs.
- Revenue
- Open-source core plus subscription hosted version (team collaboration, audit retention, alerts); charge by agent count or memory entries.
- Why now
- Agent memory is becoming standard, but debugging tools lag badly; indie developers can differentiate quickly with a single storage adapter.