Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Durable causal memory for AI agents — semantic recall, causal lineage, and skills. Local-first.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
MADB_DATA_DIR, MADB_TENANT_ID, MADB_TELEMETRYYou need
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-serverFill in the empty values before running it.
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.
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.
MADB_DATA_DIR envMADB_TENANT_ID envMADB_TELEMETRY envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account spshkar84, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.2.10) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
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.mcpbextension. The engine ships as compiled wheels — source is not public. Anonymous usage telemetry can be disabled withMADB_TELEMETRY=off.
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.
MADB is distributed as compiled binary artifacts under the Meta-Agents.AI Proprietary License. Source code is not public. The three packages:
| Package | Audience | How it's used |
|---|---|---|
meta-agents-db (Python wheel) | Everyone | The 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, Cowork | claude 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 free tier exposes a focused core of 13 memory tools:
| Tool | Purpose |
|---|---|
remember | Store a memory with optional caused_by, tags, and importance |
recall | Composite-scored semantic recall (similarity + recency + causal proximity + importance + tag overlap) |
get_memory | Point lookup by event_id |
forget | Tombstone soft-delete (preserves DAG lineage) |
search | Structured query by tenant + scope + tags |
list_recent | Last N memories, newest-first |
save_skill | Store a reusable pattern (idempotent by name, GC-protected) |
recall_skill | Semantic skill recall |
list_skills | All skills ranked by composite score |
trace_cause | Walk the causal DAG forward/backward from any memory |
summarize | Condense a set of memories into a compact summary |
stats | Engine metrics snapshot |
capabilities | What 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 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.
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.
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).
MADB is distributed under the Meta-Agents.AI Proprietary License. Summary:
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.
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.
*Meta-Agents.AI © 2026 Pushkar Singh. All rights reserved.*