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mengram

Active·★ 171·Apache-2.0·Updated 2026-05-21
★ Trending★ Multi-Agent★ Memory & Context

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain & CrewAI integrations.

Mengram is an AI memory layer that enables agents to remember facts, events, and workflows, with procedures automatically improving from failures. It uniquely stores semantic, episodic, and procedural memory, offering experience-driven evolution for AI agents.

#AI Agents#Memory Layer#Procedural Memory#Episodic Memory#Semantic Memory#Experience-Driven Learning#LLM Integration#Cognitive Profile
$ Install
$ pip install mengram-ai
↗ Visit site★ GitHub
01

Features

01Stores Semantic, Episodic, and Procedural Memory types.
02Experience-Driven Evolution: Procedures automatically improve when they fail.
03Cognitive Profile generation for personalized LLM system prompts.
04Multi-User Isolation: Separate memory spaces for individual users in multi-tenant applications.
05Import existing data from ChatGPT, Obsidian, or text files to avoid cold-start problems.
02

Compatibility

Python
Runtime
Verified via docs
JavaScript/TypeScript
Runtime
Verified via docs
LangChain
Integration
Verified via docs
CrewAI
Integration
Verified via docs
OpenClaw
Integration
Verified via docs
MCP Server
Integration
Verified via docs
03

Quick start

1
$ pip install mengram-ai
04

Use cases

↳Building intelligent AI agents that learn and adapt from real-world outcomes.
↳Enhancing DevOps agents by enabling procedures to evolve from deployment failures.
↳Creating personalized customer support agents that remember returning customers and their history.
↳Personalizing LLM interactions and responses using a dynamically generated cognitive profile.
↳Developing multi-tenant applications where each user requires an isolated and persistent memory space.
05

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Related searches

mengram AlternativesBest Memory & Context Tools 2026Open Source Memory & Contextmengram Tutorialmengram Vs CompetitorsAI AgentsMemory LayerProcedural Memory

Comments

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  • M
    Morgan ClarkMay 22, 2026

    The three memory types handle different kinds of knowledge appropriately.

  • D
    Drew JacksonMar 26, 2026

    Semantic, episodic, and procedural memory for AI agents mirrors human memory architecture.

  • Peyton Chen
    Peyton ChenMar 13, 2026

    Good for long-running agents where human-like memory organization matters.

  • E
    Elliot GarciaMar 10, 2026

    Experience-driven learning means memory improves with use rather than manual curation.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 171
Last commit1w ago
StatusActive
LicenseApache-2.0
CategoryMemory & Context
Trend (30d)
+6.8↑ 0.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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