
CPersona
io.github.Cloto-devPublished by GitHub account Cloto-devv2.5.3Updated Oct 24, 2026
Persistent AI memory in one SQLite file: 3-layer hybrid search, confidence scoring, 29 tools.
Overview
Gives an assistant persistent local memory in a single SQLite file, with hybrid vector, FTS5 and keyword recall across 29 tools.
- What you can do
- CPersona stores facts, session summaries and an accumulated profile in one local SQLite file and retrieves them through hybrid search: a vector layer powered by an embedding server, FTS5 trigram search, and keyword search, fused by rank or relative score. Tools include store, recall and reconstruct, which returns recalled items with quotes from the stored rows behind them. Recall is scoped by agent_id, project_id and channel so several agents or projects can share one database without mixing. It calls no generative model; the agent summarizes and hands over text.
- When to use it
- Worth adding when an assistant should remember project decisions, preferences or earlier sessions across session boundaries, and when you want that memory to stay in a file you own rather than a hosted service. It suits coding sessions where identifiers, error strings and exact names must be recalled reliably.
- Requirements
- Runs locally over stdio, started with uvx or pip from the cpersona PyPI package; Python 3.11+ and uv for the one-command path. An embedding server is strongly recommended for the vector layer, configured through CPERSONA_EMBEDDING_MODE and CPERSONA_EMBEDDING_URL; without one it falls back to lexical search and reports degraded recall. CPERSONA_DB_PATH sets the SQLite file, and CPERSONA_RECALL_MODE picks the fusion strategy. At startup it asks pypi.org whether a newer release exists unless…
Installation
In SourceWeft
- Open CPersona in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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.
[PyPI] [CI] [Python] [License: MIT]
Documentation · Getting Started · Tools · Discussions
[The CPersona dashboard's memory network: each point is a memory, lines join the most similar ones, grouped by agent]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 .backupcopies 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 dashboardopens 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:
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:
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
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:
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:
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
- Bugs and requests: open an issue.
- Security: report privately, as SECURITY.md describes.
- Which version to run: SUPPORT.md.
- In Japanese: the docs have a language selector, and a book on Zenn covers the design and setup.
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.
Source: README.md at commit bc1d7f2
Tools
0Version history
1- v2.5.3LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts

