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
- Getting started
- The three tools
- Configuration
- Clients and the init-memini skill
- Session ingest
- Architecture
- Changelog
License
MIT. See LICENSE.
Metadata
Release files for memini-ai 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| memini_ai-0.1.2.tar.gz | 238.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| memini_ai-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 265.9 kB
Release files / memini_ai-0.1.2.tar.gz
| Download URL | memini_ai-0.1.2.tar.gz |
|---|---|
| Size | 238.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
099d1e94e1955bad6be821cf30d5329126eb3fb500bb70cb603e3ccd4e37b10c
|
|
BLAKE2b-256 checksum How to use checksums |
ed3fea9b31194c2bc22d01690d6eadce41fa1c2342328a3ba0cb9a16f741ca54
|
| 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 19, 2026.
Transparency logRelease files / memini_ai-0.1.2-py3-none-any.whl
| Download URL | memini_ai-0.1.2-py3-none-any.whl |
|---|---|
| Size | 27.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
24564a87179294b687e1e9fa312011ac0d776a5a4729b1c41b3e4a4edfbcda21
|
|
BLAKE2b-256 checksum How to use checksums |
1214a9f120f05a6ba1ff37220a35e3a5d9bcda4dab2042ccfc8417d305c38948
|
| 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 19, 2026.
Transparency log