Faberon brain
The brain of Faberon, an autonomous ML research harness.
Give Faberon a research plan and it proposes experiments, submits training jobs (Slurm cluster or local machine), waits for results, judges them against your expectations, and decides what to try next. Every decision lands in an append-only Postgres ledger, and you can steer a running campaign at any time.
This package provides the brain: the durable agent loop (Pydantic AI + DBOS) behind a FastAPI HTTP API, plus the faberon CLI for operating campaigns from a shell. The chat interface ships separately as @faberon/chat.
Install
Requires Python 3.14 and a Postgres database.
uv pip install faberon
faberon serve
Documentation
Install guides, quickstart, runbooks, and design docs live in the repo.
Status
Early beta: expect rough edges and breaking changes.
License
MIT
Metadata
Release files for faberon 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| faberon-0.3.0.tar.gz | 26.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| faberon-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 61.7 kB
Release files / faberon-0.3.0.tar.gz
| Download URL | faberon-0.3.0.tar.gz |
|---|---|
| Size | 26.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / faberon-0.3.0-py3-none-any.whl
| Download URL | faberon-0.3.0-py3-none-any.whl |
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| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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