AI memory API with 3 types: semantic (facts), episodic (events), and procedural (learned workflows). One API call extracts all three automatically. Killer feature: your agent completes a task → Mengram saves the steps → next time it already knows the optimal path with success/failure tracking. Works with Claude (MCP), LangChain, CrewAI, OpenClaw. Free, open-source, Apache 2.0.
Hey Product Hunt! I'm Ali, a 32-year-old developer from Almaty, Kazakhstan.
I built Mengram because every AI memory tool I tried only stored facts. But human memory has 3 types — we remember facts (semantic), events (episodic), and how to do things (procedural). So I built an API that does all three.
The killer feature: your AI agent completes a task → Mengram saves the steps as a procedure → next time, it already knows the optimal path. No other memory API does this.
It's free, open-source, and takes 60 seconds to set up. Would love your feedback!
How do you handle the hard edge cases of long-term memory in production—contradictions, staleness, and “what happened last week” temporal queries—without making developers build their own maintenance rules around your API?
Hey! This sounds really cool, do you have any example code for using this with LangChain?
