MCP Servers · Memory

alibaizhanov/mengram

Name: alibaizhanov/mengram
Author: Various

Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures.

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Our verdict

Not reviewed yet

We have not reviewed alibaizhanov/mengram yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About alibaizhanov/mengram

Mengram is an open-source memory layer for AI agents that implements semantic, episodic, and procedural memory. It learns from failures to refine agent behavior over time and offers a free API with Python and JavaScript SDKs, plus integrations with LangChain, CrewAI, and OpenClaw.

Best for

Developers building memory-enhanced AI agents who want a free, multi-memory solution with framework integrations

Use cases

Give AI agents persistent memory across conversations and sessions
Enable agents to learn from past mistakes and improve procedures automatically
Augment agentic frameworks like LangChain and CrewAI with structured memory

Notes

172 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Pros

Free API and open-source code reduce cost and vendor lock-in
Covers multiple memory types (semantic, episodic, procedural) in one library
Integrates with popular agent frameworks out of the box

Cons

Small project with 172 stars may have limited community support
Dependency on Python and JS SDKs restricts non-Python/JS stacks
Procedural memory learning from failures is experimental and not battle-tested at scale

Key facts

What we have checked

Days since the last commit: 0; Checked 26 Oct 2026GitHub
GitHub forks: 36; Checked 26 Oct 2026GitHub
GitHub stars: 204; Checked 26 Oct 2026GitHub
Days to a first reply on issues: 75.5; Checked 26 Oct 2026GitHub
Open issues: 16; Checked 26 Oct 2026GitHub
Releases in the last 90 days: 5; Checked 26 Oct 2026GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

pip install mengram-ai   # or: npm install mengram-ai

Tools exposed

X-Quota-Add-Used
X-Quota-Add-Limit
X-Quota-Search-Used
X-Quota-Search-Limit

Clients the listing names (not checked here)

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, ChatGPT

Install

Add alibaizhanov/mengram to your client

Not verified yet

Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.

Claude Code

Config checked

Run in your terminal (remote server)

claude mcp add --transport http alibaizhanov-mengram https://mengram.io/mcp --header 'Authorization: Bearer YOUR_ALIBAIZHANOV_MENGRAM_TOKEN'

Needs ALIBAIZHANOV_MENGRAM_TOKEN: replace each YOUR_ value with your own.

Version 2.25.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Claude Code's config docs

Cursor

Config checked

Add to .cursor/mcp.json (remote server)

{
  "mcpServers": {
    "alibaizhanov-mengram": {
      "url": "https://mengram.io/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_ALIBAIZHANOV_MENGRAM_TOKEN"
      }
    }
  }
}

Needs ALIBAIZHANOV_MENGRAM_TOKEN: replace each YOUR_ value with your own.

Version 2.25.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Cursor's config docs

VS Code

Config checked

Add to .vscode/mcp.json (remote server)

{
  "inputs": [
    {
      "type": "promptString",
      "id": "alibaizhanov-mengram-token",
      "description": "Bearer <your Mengram API key> — free key at https://mengram.io",
      "password": true
    }
  ],
  "servers": {
    "alibaizhanov-mengram": {
      "type": "http",
      "url": "https://mengram.io/mcp",
      "headers": {
        "Authorization": "Bearer ${input:alibaizhanov-mengram-token}"
      }
    }
  }
}

Needs ALIBAIZHANOV_MENGRAM_TOKEN: replace each YOUR_ value with your own.

Version 2.25.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against VS Code's config docs

Codex

Config checked

Add to ~/.codex/config.toml (remote server)

[mcp_servers.alibaizhanov-mengram]
url = "https://mengram.io/mcp"
bearer_token_env_var = "ALIBAIZHANOV_MENGRAM_TOKEN"

Needs ALIBAIZHANOV_MENGRAM_TOKEN: replace each YOUR_ value with your own.

Version 2.25.4 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Codex's config docs

Claude Desktop: Its config file takes local servers only; a remote server is added in the app as a connector.
ChatGPT: ChatGPT connects only to remote servers that need no API key.

Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.

Works with

What alibaizhanov/mengram connects to

4 clients, each with how we know and when we checked.

Works with	Type	How we know	Checked
Claude Code	Client	Install recipe matches the client's documented formatRemote server, version 2.25.4Config checked	24 Oct 2026Claude Code docs
Cursor	Client	Install recipe matches the client's documented formatRemote server, version 2.25.4Config checked	24 Oct 2026Cursor docs
VS Code	Client	Install recipe matches the client's documented formatRemote server, version 2.25.4Config checked	24 Oct 2026VS Code docs
Codex	Client	Install recipe matches the client's documented formatRemote server, version 2.25.4Config checked	24 Oct 2026Codex docs

Health and security

Is alibaizhanov/mengram looked after, and what do its setup files show

Health score

45 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked 26 Oct 2026. How it is worked out

Part	Points	What we saw
Recent activity	30 of 30	Last push 0 days ago
Releases	15 of 15	5 releases in 90 days
Issue replies	0 of 20	First reply in 75.5 days (median)
Maintainer	0 of 15	Owned by a single user
Official source	0 of 20	Community server

Alternatives

Alternatives to alibaizhanov/mengram

Record	Type	How we know	Checked
topoteretes/cogneeThis is an alternative to it	MCP server	Named in the listing	Not dated
vectorize-io/hindsightThis is an alternative to it	MCP server	Named in the listing	Not dated

Compare

Compare alibaizhanov/mengram side by side

Sources

Where this comes from

GitHubRegistry
Checked 26 Oct 2026 · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

Alternative to2 entries

MMCPMemorylowCatalogue

topoteretes/cognee

Various

Memory platform for AI Agents in 6 lines of code

★ 17,624

MMCPMemorylowCatalogue

vectorize-io/hindsight

Various

Hindsight: Agent Memory That Learns

★ 15,407

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Pairs with1 entry

PAppslowCatalogue

LangChain

Various

LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.

Works in1 entry

AAgentslowCatalogue

Crewai

Community

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

★ 55,300

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