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Mengram

Launching today

AI memory API with 3 types: facts, events, and workflows

84 followers

AI memory API with 3 types: facts, events, and workflows

84 followers

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LLM Memory

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.

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Launch tags:Open Source•Developer Tools•Artificial Intelligence

Launch Team / Built With

memories.sh — One layer for memories, skills, and rules across any agent

One layer for memories, skills, and rules across any agent

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Mengram

Maker

📌

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!

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1d ago

Hey! This sounds really cool, do you have any example code for using this with LangChain?

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16h ago

Mengram

Maker

@sizorax
Hey Shawn! Full LangChain integration with examples is in the docs:
https://github.com/alibaizhanov/mengram/blob/main/integrations/langchain.py

Drop-in replacement for both memory and retriever — searches all 3 types in one call. Let me know if you hit any issues!

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9h ago

Product Hunt

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?

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9h ago

Mengram

Maker

@curiouskitty
All three are handled out of the box — contradictions (Smart Triggers auto-detect conflicts), staleness (Ebbinghaus decay + Curator agent), and temporal queries (episodic memory with date-range filtering). Zero maintenance rules needed from the developer.

Full details: https://mengram.io/docs

https://mengram.io
https://github.com/alibaizhanov/mengram/blob/main/README.md

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9h ago