Shared persistent memory for multi-agent teams. Amnesia detection, conflict detection, decision graphs — one line of code.
npm install grid-memorypip install grid-memoryThe same problem gets discovered and re-solved by different agents on different days. No shared context, no continuity, no institutional memory.
One agent writes a wrong fact. Three agents read it and act on it. Research shows 87% of downstream decisions are corrupted within 4 hours of one bad write.
When production breaks, which agent wrote the triggering fact? When? What did it contradict? Current tooling cannot answer this. Debugging takes days.
This is not a model problem. It is not a prompt problem. It is a memory architecture problem — and it has no production solution today.
The features that make engineers stop and stare. Community tier, always.
Replace your OpenAI base_url. Full streaming, full compatibility. Zero agent code changes required.
Every agent writes what it decides, discovers, or observes. 9 typed entry types with TTL.
Conflict detection, amnesia detection, staleness scoring — running on every single write.
What was forgotten? What caused the incident? What did we accomplish this quarter?
Amnesia detection, conflict detection, and decision graphs are free forever under BUSL-1.1.
Everything you need to evaluate Grid Memory in production.
Production governance and compliance for engineering teams at regulated companies.
Executive-grade intelligence for consulting firms and PE-backed companies.
Turn every agent decision into executive-grade intelligence. Generated in seconds.
Full quarterly business review from agent memory in seconds
Stage-weighted forecasting and revenue expansion scoring
Cross-client rollups and PE operating dashboards
Executive dashboards your board can actually read
Not just raw logs. A live intelligence dashboard that translates agent memory into business impact — contradictions, amnesia risk, decision quality, and the chain of "if that is true, what else is true too?"