kemory
The command-line client for Kemory, a persistent memory vault for AI agents.
Connect an MCP client in one command
uvx kemory connect
This signs you in through the browser, writes the Kemory MCP server entry for the MCP clients installed on this machine (Claude Code, Claude Desktop, Cursor and others), and checks that the connection works. It is safe to re-run.
Install
uv tool install kemory # or: pipx install kemory
On macOS and Linux you can also install a native binary with Homebrew:
brew install sekondbrainailabs/s9n/kemory
Common commands
kemory login # browser sign-in
kemory whoami # show the signed-in account
kemory doctor # check credentials, API reachability and MCP setup
kemory mcp install # write the MCP server entry for a specific client
kemory --help # everything else
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for kemory 0.6.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kemory-0.6.12-py3-none-any.whl | Python 3 | none | any | Details |
Release files / kemory-0.6.12-py3-none-any.whl
| Download URL | kemory-0.6.12-py3-none-any.whl |
|---|---|
| Size | 84.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8d7f294e4c1516b3670757b328eb4bd269171b6a382fecdb5b24ac9147c73247
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BLAKE2b-256 checksum How to use checksums |
2ec849c4d508e00f14b67196609f684aa7b93318949d487e3952bcb0efbccce0
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.
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