Skip to main content

memini-ai

Local-first memory for AI coding agents. Three MCP tools: remember, recall, orient. Postgres + pgvector for storage, BGE-M3 embeddings on CPU, hybrid vector + full-text search.

Quick start

uv tool install memini-ai --index https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match
memini-ai db up            # pgvector/pgvector:pg18 on 127.0.0.1:5555
memini-ai migrate          # optional; serve applies migrations on first connection
memini-ai warm             # one-time ~2.2 GB BGE-M3 download, then embeds one string

The --index flags install CPU torch instead of the default CUDA build. Run warm before wiring up a client: the first remember or recall would otherwise download BGE-M3 (about 2.2 GB) inside a tool call and time out until it finishes.

Then, from the project you want memory for:

cd ~/Projects/my-repo
memini-ai init --client claude-code --project my-repo

Restart the client and call orient.

Docs

License

MIT. See LICENSE.

Metadata

Release files for memini-ai 0.1.1

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

Source distribution (sdist)

Source distribution for memini-ai 0.1.1
File Size Uploaded
memini_ai-0.1.1.tar.gz 238.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for memini-ai 0.1.1
File Interpreter ABI Platform
memini_ai-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 265.5 kB

Release files / memini_ai-0.1.1.tar.gz

Download URL memini_ai-0.1.1.tar.gz
Size 238.3 kB
Tags Source
SHA-256 checksum
How to use checksums
7b46307ca82797b7600e768eaf98f0322af18b512ad51d2f4cc0acd09593aad5
BLAKE2b-256 checksum
How to use checksums
db313023b88947039a818033152ed1c9b38a2b4851a9331aaf3df6c568ed9c4f
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 Sep 18, 2026.

Transparency log

Release files / memini_ai-0.1.1-py3-none-any.whl

Download URL memini_ai-0.1.1-py3-none-any.whl
Size 27.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c6de37f6ba8acf006aea86a5faf1a9cc8f5d9202981ac57a1d63af21af54d47f
BLAKE2b-256 checksum
How to use checksums
3273acc68b84bafeb73036f9c8ae0578279a8eb1ab5812093c5677eab77a1e94
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 Sep 18, 2026.

Transparency log

Release history Release notifications | RSS feed

0.1.2

2 release files

This release

0.1.1 This release

2 release files

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