memkeeper
Local-first, deterministic control plane that AI agents run on — durable memory, project context, coordinated task handoffs, and deny-by-default permissions, all on your own machine with no LLM in the decision path.
This PyPI distribution is a reserved namespace for the memkeeper project. The tools ship from the teflon07/memkeeper* repositories. Published functionality will land here in a future release.
- Website: https://memkeeper.ai
- Source: https://github.com/teflon07/memkeeper
- License: MIT OR Apache-2.0
Metadata
Release files for memkeeper 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| memkeeper-0.0.1.tar.gz | 2.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| memkeeper-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.0 kB
Release files / memkeeper-0.0.1.tar.gz
| Download URL | memkeeper-0.0.1.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / memkeeper-0.0.1-py3-none-any.whl
| Download URL | memkeeper-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.14 {"installer":{"name":"uv","version":"0.11.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
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