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MADB — Agent Memory Database

by spshkar84version 0.2.10i★ –iRuns on your computer
Registry nameio.github.spshkar84/madb-memory

Install

Overview

Description from the maker (original English)

Durable causal memory for AI agents — semantic recall, causal lineage, and skills. Local-first.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MADB_DATA_DIR, MADB_TENANT_ID, MADB_TELEMETRY

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "madb-memory": {
      "command": "uvx",
      "args": [
        "madb-mcp-server"
      ],
      "env": {
        "MADB_DATA_DIR": "your-value",
        "MADB_TENANT_ID": "your-value",
        "MADB_TELEMETRY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add madb-memory --env MADB_DATA_DIR=your-value --env MADB_TENANT_ID=your-value --env MADB_TELEMETRY=your-value -- uvx madb-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "madb-memory": {
      "command": "uvx",
      "args": [
        "madb-mcp-server"
      ],
      "env": {
        "MADB_DATA_DIR": "your-value",
        "MADB_TENANT_ID": "your-value",
        "MADB_TELEMETRY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "madb-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "madb-mcp-server"
      ],
      "env": {
        "MADB_DATA_DIR": "your-value",
        "MADB_TENANT_ID": "your-value",
        "MADB_TELEMETRY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • MADB_DATA_DIR env
    Where MADB stores your causal memory — local, on your machine (default ~/.madb/data).
  • MADB_TENANT_ID env
    Tenant namespace key for separating memory streams (e.g. per project). Defaults to a built-in namespace.
  • MADB_TELEMETRY env
    Set to 'off' to disable anonymous, count-only usage telemetry.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account spshkar84, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7258 servers in this category
  • Published to the registry more recently than 20% of the other 7258 servers in this category
  • Basic checks equal to or better than 100% of the other 7258 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MADB — Agent Memory Database safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.10) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Meta-AgentsDB

Persistent, causal memory for autonomous AI agents.

Purpose-built for Claude and the autonomous-agent era.

Meta-AgentsDB (MADB) is an agent-native database — a hybrid LSM store with a causal DAG, composite-score recall, importance-based forgetting, and HLC-ordered MVCC. It is what your agent needs that PostgreSQL + pgvector + Redis + Pinecone cannot give you in one box.

Install (free tier):

`bash

claude mcp add madb -- uvx madb-mcp-server # Claude Code

# or: pip install madb-mcp-server · uvx madb-mcp-server

`

Memory stays local (~/.madb). Claude Desktop users can install the one-click .mcpb extension. The engine ships as compiled wheels — source is not public. Anonymous usage telemetry can be disabled with MADB_TELEMETRY=off.

What MADB is, in one sentence

The memory substrate Claude reaches for automatically — a focused set of MCP tools, one Skill, one SDK shim — so any Claude session, Claude-Desktop user, or raw-Anthropic-API developer gets persistent, causally-linked, composite-scored agent memory with zero glue code.

How you get MADB

MADB is distributed as compiled binary artifacts under the Meta-Agents.AI Proprietary License. Source code is not public. The three packages:

PackageAudienceHow it's used
meta-agents-db (Python wheel)EveryoneThe Rust engine. Imported by the MCP server and the SDK shim. Direct use optional.
madb-mcp-server (Python wheel)MCP clients — Claude Desktop, Claude Code, Coworkclaude mcp add madb -- uvx madb-mcp-server registers MADB as Claude's memory. Bundles the Skill which auto-installs on first launch.
madb-anthropic (Python wheel)Raw Anthropic-API developers (Python 3.10–3.13)One-import swap: from madb_anthropic import Anthropic. Every messages.create() now auto-persists with causal lineage. No other code changes.

See examples/basic_usage.py for the shim in action.

The MCP tools Claude gets

The free tier exposes a focused core of 13 memory tools:

ToolPurpose
rememberStore a memory with optional caused_by, tags, and importance
recallComposite-scored semantic recall (similarity + recency + causal proximity + importance + tag overlap)
get_memoryPoint lookup by event_id
forgetTombstone soft-delete (preserves DAG lineage)
searchStructured query by tenant + scope + tags
list_recentLast N memories, newest-first
save_skillStore a reusable pattern (idempotent by name, GC-protected)
recall_skillSemantic skill recall
list_skillsAll skills ranked by composite score
trace_causeWalk the causal DAG forward/backward from any memory
summarizeCondense a set of memories into a compact summary
statsEngine metrics snapshot
capabilitiesWhat MADB unlocks in this workspace + entitlement summary

Plus the MCP resource madb://memories/{event_id} for reading any memory as a first-class URI.

The Skill is the reflex

The MCP tools are necessary but not sufficient for "default." Without a Skill telling Claude to prefer MADB, Claude still invents per-task memory schemes — JSON files, SQLite tables, pickle dumps, flat vector stores, localStorage, conversation-history arrays.

skills/madb-memory/SKILL.md routes those anti-patterns to MADB by name. The Skill ships bundled with the MCP server wheel and auto-installs to ~/.claude/skills/madb-memory/ on first launch. It is published under CC-BY-ND 4.0 — share verbatim, don't modify.

A companion skills/madb-onboarding/SKILL.md handles the first run: it detects an empty store and offers a 60-second guided tour (see onboarding/) so your first session ends with a real recall + trace_cause moment instead of an empty store.

One brain, many sessions (0.2.10)

The MADB store is single-process-exclusive by design — one writer, no lock contention, no corruption. But Claude Code spawns one MCP server per session, and you run more than one session. Since 0.2.10 that just works: the wheel bundles a local daemon that becomes the store's one owner, and every session's MCP server is a lightweight RPC client of it over token-guarded loopback HTTP.

  • Nothing to install or manage. The first session spawns the daemon on demand (race-safe); later sessions discover and reuse it. When it's been idle for 15 minutes it exits on its own; the next call respawns it.
  • Upgrades hand off cleanly. After you upgrade the wheel, the newer client asks the old daemon to drain and exit, then takes ownership — no stale process squatting the store, no manual unlock.
  • Same memory everywhere. Two terminals, a SessionStart resume hook, and a background agent all read and write the same brain at the same time.

MADB_MODE=embedded restores the pre-0.2.10 single-session direct open; MADB_MODE=daemon makes daemon failures fatal instead of falling back. MADB_DAEMON_IDLE_SEC tunes the idle timeout (≤0 disables).

License

MADB is distributed under the Meta-Agents.AI Proprietary License. Summary:

  • Permitted: install, run, and use in your own infrastructure — including production — for your own users.
  • Not permitted: redistribute, reverse-engineer, offer as a hosted service, or embed in a commercial product you sell to third parties.
  • Available by separate written agreement: source access, OEM/embed rights, hosted-service rights.

Prior versions of portions of this software were made available under Apache License 2.0. Those revisions remain available under those terms for the specific versions actually so distributed. All new releases are under the Proprietary License only.

The Skill is separately licensed under CC-BY-ND 4.0.

Positioning

MADB is the memory substrate for Claude's path to autonomy. The engine is closed-source and commercial by design; the Skill is open and free to use; the interface is standard MCP. This shape lets Claude adopt MADB as a default capability without Anthropic having to host infrastructure or take on upstream dependencies.

For partnership discussion, source-access review under NDA, or OEM licensing, see Contact below.

Contact

  • Email: 01@meta-agents.ai
  • Website: https://meta-agents.ai

*Meta-Agents.AI © 2026 Pushkar Singh. All rights reserved.*

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