Skip to main content

kemory

The command-line client for Kemory, a persistent memory vault for AI agents. You need a Kemory account; sign up at kemory.sekondbrain.ai.

Connect your MCP clients in one command

uvx kemory connect

This signs you in through the browser, lists the AI clients on this machine (Claude Code, Claude Desktop, Codex, Cursor, VS Code, Gemini CLI, Windsurf, Cline, Kiro, Grok, Continue, Warp and others) with their Kemory status, and asks which to connect; Enter takes every one that is ready. Claude Code and Grok Build get the Kemory plugin, which saves sessions automatically; the others get an MCP entry. It then checks the connection. Restart the clients it lists afterwards. --dry-run shows what would change; --host all or --host codex skip the question. It is safe to re-run.

This package contains the native kemory binary for your platform (macOS, Linux or Windows x64); 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

Metadata

Release files for kemory 0.13.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for kemory 0.13.0
File
kemory-0.13.0-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details
kemory-0.13.0-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-0.13.0-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-0.13.0-py3-none-macosx_12_0_x86_64.whl Python 3 none macOS 12.0+ x86-64 Details
kemory-0.13.0-py3-none-macosx_12_0_arm64.whl Python 3 none macOS 12.0+ ARM64 Details

Total release size: 22.3 MB

Release files / kemory-0.13.0-py3-none-win_amd64.whl

Download URL kemory-0.13.0-py3-none-win_amd64.whl
Size 4.7 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
3eb20671336d2712d7686743b5c17b1ca4977347d93377dcd39ce8c2ae16385b
BLAKE2b-256 checksum
How to use checksums
5c92f66316972de8bb0248906576f6dcd53091f3b7f57f3ca9006bf8fb171590
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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

Release files / kemory-0.13.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.musllinux_1_1_x86_64.whl

Download URL kemory-0.13.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.musllinux_1_1_x86_64.whl
Size 4.6 MB
Tags Linux glibc 2.17+ x86-64 Linux musl 1.1+ x86-64 Python 3
SHA-256 checksum
How to use checksums
f38970f3e93fdfb56f2e9685d6a732398f993e4b377a2c602ceaabe1563067d6
BLAKE2b-256 checksum
How to use checksums
85afc992548f53adbd79b17a8b345b7617577bacecdc33dafdb46155af47ba41
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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

Release files / kemory-0.13.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.musllinux_1_1_aarch64.whl

Download URL kemory-0.13.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.musllinux_1_1_aarch64.whl
Size 4.1 MB
Tags Linux glibc 2.17+ ARM64 Linux musl 1.1+ ARM64 Python 3
SHA-256 checksum
How to use checksums
1ecd663e7795a258ea28ea1a805190098824bd4addd26df636e63e3969e2d907
BLAKE2b-256 checksum
How to use checksums
6a38deff1ca7f773df409064f9b254429684a63303e1bc3f503fedd818c3e6e0
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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

Release files / kemory-0.13.0-py3-none-macosx_12_0_x86_64.whl

Download URL kemory-0.13.0-py3-none-macosx_12_0_x86_64.whl
Size 4.6 MB
Tags Python 3 macOS 12.0+ x86-64
SHA-256 checksum
How to use checksums
df6da00b0695395200ba0cc0471a1fa573799e6baa2dd43fbb202a005f5da238
BLAKE2b-256 checksum
How to use checksums
d04b9c8bc5897bb4b27a45970018b2d66857dd14c3ac7ee33d37ea1ba98fe955
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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

Release files / kemory-0.13.0-py3-none-macosx_12_0_arm64.whl

Download URL kemory-0.13.0-py3-none-macosx_12_0_arm64.whl
Size 4.3 MB
Tags Python 3 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
3cb063718619ff914bdcf7c2f222b6b1838f3561a52aad59590b5cbc51c4792c
BLAKE2b-256 checksum
How to use checksums
c4611e72b2028864b5ae200eab9e8bdea3196cf6d8e34a4db49e550905386a74
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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

Security for kemory 0.13.0

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.

Full provenance

All 5 files in this release have been uploaded with provenance metadata.

Select from 5 files

Attestation for kemory-0.13.0-py3-none-win_amd64.whl

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

0.13.0 This release

5 release files Full provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page