Caura — governed shared memory for AI agent fleets
Caura (formerly MemClaw) is an Agent DB — governed shared memory for AI agent fleets. Agents commit what they learn once; every agent in the fleet recalls it through MCP tools, REST, or Caura Rail (preview), subject to tenant isolation, visibility scope (scope_agent / scope_team / scope_org) and caller trust level.
This package is a redirect
memclaw-client was the name of the Python client before MemClaw became Caura. From 0.5.0 it is an empty shell that installs caura-client, the official Python client, and nothing else: there is no memclaw_client module and no MemClaw class.
If an install instruction still says pip install memclaw-client, change it to:
pip install caura-client
and change the import to:
from caura_client import Caura
The name is kept on PyPI so that old instructions resolve to Caura rather than to whoever might claim a freed name. Nothing new will ever ship under it.
Links
- What Caura is: https://caura.ai/docs
- Canonical package: caura-client
- Source: https://github.com/caura-ai/caura (Apache-2.0)
- Issues: https://github.com/caura-ai/caura/issues
- Benchmark: https://github.com/caura-ai/caura-longmemeval (LongMemEval harness)
Release files for memclaw-client 0.5.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| memclaw_client-0.5.1.tar.gz | 2.5 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| memclaw_client-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.6 kB
Release files / memclaw_client-0.5.1.tar.gz
| Download URL | memclaw_client-0.5.1.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / memclaw_client-0.5.1-py3-none-any.whl
| Download URL | memclaw_client-0.5.1-py3-none-any.whl |
|---|---|
| Size | 2.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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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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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.
Transparency logSecurity for memclaw-client 0.5.1
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Attestation for memclaw_client-0.5.1.tar.gz
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 20, 2026.
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