🧠 Cerebrofy
AI-powered codebase intelligence CLI.
Cerebrofy indexes your repository into a local graph + vector database, then exposes it to AI assistants via MCP — letting them navigate your codebase with surgical precision instead of reading entire files. Zero code uploaded to any server.
cerebrofy init && cerebrofy build
# → Parses, graphs, embeds — one local index, ready for AI tools
cerebrofy validate
# → clean
Documentation
Full documentation has moved to docs/:
| Section | Description |
|---|---|
| Getting Started | Installation, quick start, configuration |
| Concepts | Architecture, cognitive layers, memory model, sessions |
| Features | Blast radius, health, memory, sessions, synthesizer, narrative, insights, changelog, coordination, governance, silo detection, upgrade, coverage gap, vulnerability, onboarding, review, security |
| Reference | CLI reference, MCP tools, config, database schema |
| Development | Contributing, testing, releasing |
Start here: Getting Started → Installation
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for cerebrofy 3.13.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| cerebrofy-3.13.0.tar.gz | 7.3 MB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cerebrofy-3.13.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.5 MB
Release files / cerebrofy-3.13.0.tar.gz
| Download URL | cerebrofy-3.13.0.tar.gz |
|---|---|
| Size | 7.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
78f92d4dc06269ffbb907ed5d275615915436c4510e71fd74a60e033118b59cc
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BLAKE2b-256 checksum How to use checksums |
dae7f0009d4e9e7aa152c29c4a651ae57d4b4bffb69642471aad7aa888813d32
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 24, 2026.
Transparency logRelease files / cerebrofy-3.13.0-py3-none-any.whl
| Download URL | cerebrofy-3.13.0-py3-none-any.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
86ec86af768725cb841770a980109d3ff7ed458644f6d6377da6a0585267f857
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|
BLAKE2b-256 checksum How to use checksums |
aa1ad89e54b29438f035c59f1a16bc3120fcb6844ce34df512e9f764673055df
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 24, 2026.
Transparency logSecurity for cerebrofy 3.13.0
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for cerebrofy-3.13.0.tar.gz
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 Oct 24, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
