Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

CPersona

by Cloto-devversion 2.5.3i★ –iRuns on your computer
Registry nameio.github.Cloto-dev/cpersona

Install

Overview

Description from the maker (original English)

Persistent AI memory in one SQLite file: 3-layer hybrid search, confidence scoring, 29 tools.

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: CPERSONA_DB_PATH, CPERSONA_EMBEDDING_MODE, CPERSONA_EMBEDDING_URL, CPERSONA_RECALL_MODE

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": {
    "cpersona": {
      "command": "uvx",
      "args": [
        "cpersona"
      ],
      "env": {
        "CPERSONA_DB_PATH": "your-value",
        "CPERSONA_EMBEDDING_MODE": "your-value",
        "CPERSONA_EMBEDDING_URL": "your-value",
        "CPERSONA_RECALL_MODE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add cpersona --env CPERSONA_DB_PATH=your-value --env CPERSONA_EMBEDDING_MODE=your-value --env CPERSONA_EMBEDDING_URL=your-value --env CPERSONA_RECALL_MODE=your-value -- uvx cpersona

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": {
    "cpersona": {
      "command": "uvx",
      "args": [
        "cpersona"
      ],
      "env": {
        "CPERSONA_DB_PATH": "your-value",
        "CPERSONA_EMBEDDING_MODE": "your-value",
        "CPERSONA_EMBEDDING_URL": "your-value",
        "CPERSONA_RECALL_MODE": "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": {
    "cpersona": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cpersona"
      ],
      "env": {
        "CPERSONA_DB_PATH": "your-value",
        "CPERSONA_EMBEDDING_MODE": "your-value",
        "CPERSONA_EMBEDDING_URL": "your-value",
        "CPERSONA_RECALL_MODE": "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

  • CPERSONA_DB_PATH env
    SQLite database path. Defaults to data/cpersona.db, which follows the client's working directory — set it to an absolute path to keep one memory across sessions.
  • CPERSONA_EMBEDDING_MODE env
    Embedding mode: 'http' to use an embedding server for vector search, 'none' for lexical layers only.
  • CPERSONA_EMBEDDING_URL env
    Embedding server endpoint, e.g. http://127.0.0.1:8401/embed. Required when CPERSONA_EMBEDDING_MODE=http.
  • CPERSONA_RECALL_MODE env
    Recall fusion strategy: 'rrf' (default), 'rsf', or 'cascade'.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Cloto-dev, 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 7247 servers in this category
  • Published to the registry more recently than 26% of the other 7247 servers in this category
  • Basic checks equal to or better than 100% of the other 7247 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 CPersona 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 (2.5.3) reached the registry 3 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.

CPersona

Long-term memory for AI agents, in one SQLite file you own.

CPersona is an MCP server that lets Claude Code, Codex, Claude Desktop, Cursor, VS Code or any other MCP client remember what you decided, why, and what happened last time — across sessions.

Documentation · Getting Started · Tools · Discussions

The built-in dashboard, showing a made-up store of 72 memories.

Why CPersona

Every new session with a coding agent starts from zero. CPersona gives the agent a memory it can write to as it works and read from before it acts.

  • Yours, on your machine. Everything lives in a single SQLite file. No account, no cloud, no external database; sqlite3 .backup copies it.
  • No language model inside. CPersona never calls a generative model to store or recall. Your agent writes the summary; CPersona keeps it and finds it again.
  • Answers you can trace. reconstruct, the recommended way to answer from memory, quotes the stored records behind each item, so you can see where an answer came from.
  • Search that catches what vectors miss. Vector search runs beside full-text and keyword search, so exact names, identifiers and error strings are found too, in Japanese and other scripts without spaces as well.
  • See what it remembers. cpersona dashboard opens a read-only page of the store: what was stored last, what is recalled most, every memory in full, and the network above.
  • Honest when it degrades. Without an embedding server it still runs on keyword search, and says so on every recall instead of quietly returning less.

Quick start

With Claude Code or Codex, install the agent plugin and let the agent do the rest:

/plugin install cpersona --marketplace Cloto-dev/cpersona

Then say *"Set up CPersona."* The plugin carries the setup skill and the hooks that remind the agent to recall before it acts and to store as it goes. (Claude Code 2.1.275 or later. In Codex: codex plugin marketplace add Cloto-dev/cpersona, then codex plugin add cpersona@cpersona.)

By hand, in three steps:

# 1. Run an embedding server (recommended; it powers vector search)

uvx --from "cembedding[onnx]" cembedding-download-model --model bge-m3 EMBEDDING_PROVIDER=onnx_bge_m3 uvx --from "cembedding[onnx]" cembedding

2. Register CPersona with your client (Claude Code shown)

claude mcp add-json cpersona '{"type":"stdio","command":"uvx","args":["cpersona"],"env":{"CPERSONA_DB_PATH":"/home/you/.claude/cpersona.db","EMBEDDING_MODE":"http","EMBEDDING_HTTP_URL":"http://127.0.0.1:8401/embed"}}' -s user

3. In a new session, ask the agent to store something, then recall it in another new session

4. See what it remembers, in the browser

cpersona dashboard

Getting Started covers the other clients, Windows, containers, and the short policy block that makes every future session use the memory.

Upgrading an existing install? Read the *When you upgrade* section of the release notes and SUPPORT.md first.

A look inside

OverviewA memory, opened

Memories are kept per agent, and project_id and channel let several agents and projects share one database without mixing.

Benchmarks

On OmniMemEval's LongMemEval-S pipeline (500 questions, answered by gpt-4.1-mini, judged by gpt-4o-mini), in this project's own run. Overall is the share of questions judged correct; Context Tokens is the average sent to the answer model per question:

BackendDeploymentSS-UserSS-AsstSS-PrefTemp. ReasMulti-SKnow. UpdOverallContext Tokens
CPersona 2.6.11 (pro mode)local97.1494.6496.6786.4785.7188.4689.604,262.5
CPersona 2.6.11 (lite mode)local95.7183.9390.0080.4574.4482.0582.20993.3
MemOScloud100.00100.00100.0089.4778.9584.6289.204,151

Pro mode is level with MemOS within sampling error, and on LoCoMo it answers 84.03%. Setups, the registered rules and every departure from a clean run are in the results.

Documentation

cloto-dev.github.io/CPersona is the full reference, also in Japanese:

GuideWhat it covers
Getting StartedInstall, embedding server, client registration, verification
Behavior ContractsWhat you may rely on: recall ordering, dedup, scan window, response shapes
ToolsEvery tool, grouped by what you reach for it for
ArchitectureStorage, the retrieval pipeline, isolation axes
RoadmapWhat each release line is for and may break; planned retrieval features and the scale ladder
Operations RunbookBackup, degradation detection, tuning, CJK guidance, corpus sync
ConfigurationEvery environment variable and its default
Quality AssuranceHow a release is gated: audits, the bug ledger, structural and mutation gates
FAQShort answers to the questions operators actually ask

Contributing

Bug fixes, tests and documentation can be sent as a pull request straight away. For changes to the database schema, the tool contracts or the tool list, open an issue first. CONTRIBUTING.md has the setup — no embedding server is needed to run the ~4,150 test functions — and the three checks CI runs.

Questions and ideas are welcome in Discussions. A sentence in the docs that confused you is worth reporting too: it is a defect of its own.

Support

If CPersona has earned a place in your workflow, you can sponsor the work on GitHub. It buys no feature and no place in the issue queue; starring the repository, filing a clear issue or fixing a sentence in the docs helps too.

License

MIT — see LICENSE.

Ask PopNx