mengram
Reduces AI agent errors and hallucinations by enabling learned memory across interactions, lowering debugging cycles and improving production reliability for…
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.
- Agent recalls failed API calls, adjusts retry logic automatically
- Multi-turn workflows preserve context and learned workarounds between sessions
- Reduce redundant troubleshooting in long-running automation tasks
Reduces AI agent errors and hallucinations by enabling learned memory across interactions, lowering debugging cycles and improving production reliability for agentic systems.
AI platform teams implementing multi-turn agents that need persistent, failure-resistant behavior across deployments.
https://github.com/alibaizhanov/mengram
By alibaizhanov
How to Get It
pip install mengram-ai && mengram setup
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After installing, paste this into Claude:
Help me agent recalls failed API calls, adjusts retry logic automatically
Trust Signals Reviewed
Community Pulse Active
Discussed on Hacker News, Reddit
- Mengram — open-source memory layer that gives any LLM app persistent memory — Reddit · 22 pts
- Mengram MCP Server — proactive memory injection via Resources, not just Tools — Reddit · 3 pts
- Mengram — open-source MCP memory server with hybrid retrieval and temporal decay — Reddit · 3 pts
3 mentions across 1 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
Auto-assessment from April sweep — baseline scores pending hands-on review.
2026-04-18: Approved in April sweep: Solid community adoption with a clear description and active maintenance.
Things to check
- Memory growth and retrieval latency scale with agent history; no built-in garbage collection or memory limits documented. Integration maturity and production support depend on active development; evaluate for your specific orchestration framework.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.