brainpick (Python engine)
A turn-key brain stack for agents. Compile a folder of OKF markdown into a queryable, servable, visualizable brain — then serve it to agents over MCP + CLI and to humans through a live holographic-brain web UI.
This is the Python engine (the reference implementation). A byte-identical native Node engine ships on npm with no Python required — same artifacts, same UI, same MCP tools.
uvx brainpick init --root ./my-okf-bundle # detect, configure, compile
uvx brainpick serve --open # the living graph, zero API keys
The tiers
| Tier | What | Needs |
|---|---|---|
| T0 | grep/glob over the files | nothing |
| T1 | generated index.md, link graph, backlinks, tags |
nothing (deterministic) |
| T2 | vector search over chunks | an embedding model |
| T3 | entity/relation graph (LightRAG behind an adapter) | a small LLM |
Extras: brainpick[vectors] (LanceDB), brainpick[vectors-local]
(fastembed, offline), brainpick[graph] (LightRAG extraction), brainpick[all].
The markdown is the only source of truth; everything under .brainpick/ is a
disposable build artifact. Small local models (qwen3.6-class) are first-class
citizens. See the full README, principles, and docs.
MIT.
1 maintainer
Release files for brainpick 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| brainpick-0.7.1.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brainpick-0.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / brainpick-0.7.1.tar.gz
| Download URL | brainpick-0.7.1.tar.gz |
|---|---|
| Size | 1.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / brainpick-0.7.1-py3-none-any.whl
| Download URL | brainpick-0.7.1-py3-none-any.whl |
|---|---|
| Size | 938.4 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
|
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