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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
On-device, self-organizing memory for AI coding agents — recalls the right facts into each prompt.
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.
You 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": {
"verbative-memory": {
"command": "npx",
"args": [
"-y",
"verbative-memory"
]
}
}
}Run this in your terminal
claude mcp add verbative-memory -- npx -y verbative-memoryPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"verbative-memory": {
"command": "npx",
"args": [
"-y",
"verbative-memory"
]
}
}
}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": {
"verbative-memory": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"verbative-memory"
]
}
}
}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.
These 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 6, 2026
The registry name was verified with the GitHub account verbative, 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 (1.1.3) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, 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.
On-device memory system for AI coding agents — a dual-layer engine (distilled facts + a lossless event ledger), automatically captured and injected, exposed over MCP. Shared across agents, persistent across sessions; stored as plain, human-readable files in your repo — no memory cloud, no vendor database.
This repository is the public home for docs, install help, and issues. The engine is
closed-source and ships as a sealed, compiled package — there is no source code here.
Claude Code CLI — automatic capture and recall:
claude mcp add verbative-memory -- npx -y verbative-memory
pip:
pip install verbative-memory
verbative-memory login # sign in with your Verbative account
Any MCP client (mcp.json / stdio):
{ "mcpServers": { "verbative-memory": { "command": "npx", "args": ["-y", "verbative-memory"] } } }
Automatic capture and injection are built for the Claude Code CLI and Codex; any other Model Context Protocol client can call the tools manually. The first run downloads the on-device engine and models once; after that, recall runs fully offline.
More detail in docs/INSTALL.md and at verbative.de/docs/memory.
remember · recall · search · ask · list · get · pin · forget · revise · edit_core · feedback · related · history · timeline · events — and more. See the docs.
Capture, embeddings, reranking, and the knowledge graph all run locally. Your code and memories are not uploaded; the memory files stay in your project and leave your machine only if you choose to share them.
Bug reports and feature requests are welcome in the issue tracker — the place for anything about the docs or the tool. For your account, licensing, or a trial, email info@verbative.de.
*Verbative is a product of Cramer Digital. Not affiliated with, or endorsed by, Anthropic. Verbative works alongside Anthropic's Claude and the Claude Code CLI; those names belong to Anthropic. See LICENSE.*