AgentMemory – Governed shared memory for agent fleets
Shared memory with built-in judging to prevent context rot across multiple agents
- Problem
- Developers manually handoff context between agents (e.g., Codex and Claude), leading to memory pileup and quality decay. Existing cross-platform memory solutions lack governance and require manual cleanup.
- Solution
- A shared memory service with per-group scopes and a judge agent that periodically evaluates memory quality, automatically discarding stale or low-quality entries. API or MCP access.
- Users
- Developers and AI teams running complex projects with multiple agents.
- MVP
- Basic memory store and retrieval API; scope isolation; simple judge rules (time decay, duplicate detection); CLI to inspect and clean memory.
- Revenue
- Open core + paid cloud (hosting, advanced judge models, team features), usage-based.
- Why now
- Multi-agent workflows grow but memory management is chaotic; indie devs can offer lightweight governance while big vendors build bloated suites.