Your agents forget everything between runs. Fix that.
Engramia is execution memory for AI agents. Learn what works, recall it next time, measure the improvement.
Why teams adopt Engramia
Agent memory usually fails in production because storage, recall, scoring, and governance are implemented as unrelated pieces.
A memory system that behaves like infrastructure, not magic
Engramia combines storage, retrieval, scoring, and governance into one operational layer for agent engineering.
Reusable memory layer
Store successful execution patterns, retrieve them semantically, and improve recall instead of restarting every run from zero.
Evaluation-driven improvement
Score outcomes, cluster failures, evolve prompts, and turn agent memory into an operational feedback loop.
Governance for production
Keys, scopes, analytics, auditability, and self-hosting options for teams that need control instead of just demos.
Start fast, then add governance when it matters
Hosted plans for speed. Commercial self-hosting when compliance, data residency, or enterprise procurement demand it.
Hosted trial for evaluation. No credit card required.
- • 1 project
- • 500 eval runs / month
- • 5,000 patterns
- • Community support
Commercial plan for individuals and small teams.
- • 3 projects
- • 3,000 eval runs / month
- • 50,000 patterns
- • Webhooks
Capacity, governance, and async processing for production teams.
- • 15 projects
- • 15,000 eval runs / month
- • 500,000 patterns
- • Async jobs
Unlimited capacity, enterprise controls, and commercial support.
- • Unlimited projects & patterns
- • Custom eval quotas
- • Cross-agent memory
- • SSO / OIDC