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, Codex, Cursor, VS Code and others), and checks that the connection works. It is safe to re-run.
This package contains the native kemory binary for your platform; it has no Python dependencies.
Install
uv tool install kemory # or: pipx install kemory
Also available with npx kemory and brew install sekondbrainailabs/s9n/kemory.
Common commands
kemory doctor # check sign-in, network and MCP setup
kemory recall <query> # search your memories
kemory ask <question> # an answer with its evidence
kemory --help # everything else
Source, issues and documentation: https://github.com/SeKondBrainAILabs/kemory-cli
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for kemory 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| kemory-0.7.0-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| kemory-0.7.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.musllinux_1_1_x86_64.whl | Python 3 | none | Linux musl 1.1+ x86-64, Linux glibc 2.17+ x86-64 | Details |
| kemory-0.7.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.musllinux_1_1_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64, Linux musl 1.1+ ARM64 | Details |
| kemory-0.7.0-py3-none-macosx_12_0_x86_64.whl | Python 3 | none | macOS 12.0+ x86-64 | Details |
| kemory-0.7.0-py3-none-macosx_12_0_arm64.whl | Python 3 | none | macOS 12.0+ ARM64 | Details |
Total release size: 19.5 MB
Release files / kemory-0.7.0-py3-none-win_amd64.whl
| Download URL | kemory-0.7.0-py3-none-win_amd64.whl |
|---|---|
| Size | 4.1 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Transparency logRelease files / kemory-0.7.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.musllinux_1_1_x86_64.whl
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|---|---|
| Size | 4.0 MB |
| Tags | Linux glibc 2.17+ x86-64 Linux musl 1.1+ x86-64 Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI Publish Attestation
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Transparency logRelease files / kemory-0.7.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.musllinux_1_1_aarch64.whl
| Download URL | kemory-0.7.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.musllinux_1_1_aarch64.whl |
|---|---|
| Size | 3.6 MB |
| Tags | Linux glibc 2.17+ ARM64 Linux musl 1.1+ ARM64 Python 3 |
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SHA-256 checksum How to use checksums |
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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
|
Provenance
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Transparency logRelease files / kemory-0.7.0-py3-none-macosx_12_0_x86_64.whl
| Download URL | kemory-0.7.0-py3-none-macosx_12_0_x86_64.whl |
|---|---|
| Size | 4.1 MB |
| Tags | Python 3 macOS 12.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
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|
Provenance
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Transparency logRelease files / kemory-0.7.0-py3-none-macosx_12_0_arm64.whl
| Download URL | kemory-0.7.0-py3-none-macosx_12_0_arm64.whl |
|---|---|
| Size | 3.7 MB |
| Tags | Python 3 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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