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repo for storing the second brain project
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Travis Herbranson 33ae5a6f7d pipeline split: tower transcribe worker + claim queue + faster-whisper 
Splits pull+transcribe (now tower-side, eager) from extract+embed
(stays on the dev scheduler). Three machine-coordination pieces land
together because they reference each other:

- v3 migration adds sources.claimed_by + claimed_at — observability +
  stale-claim recovery columns. The actual race-safety primitive is
  `SELECT ... FOR UPDATE SKIP LOCKED` in the new claim helper, so two
  machines can poll the queue without doubling work.

- src/second_brain/claim.py owns the claim dance (claim_next_source,
  release_claim, reap_stale_claims). Both stage gates filter by
  source_type so the tower never grabs articles and the dev side never
  grabs videos.

- src/second_brain/transcribe.py wraps faster-whisper (lazy-imported so
  it stays out of the dev install). resolve_settings() reads env >
  [whisper] block > defaults, falling back to int8 on cpu / float16 on
  cuda when compute_type is unspecified. Default model large-v3.

- src/second_brain/scheduler/transcribe_worker.py is the long-running
  poll loop. Reads pipeline_settings every iteration so the dashboard's
  enable/window/max-items/max-video-length take effect within one
  cycle. Reaps stale claims at startup. SIGTERM-clean. DB-unreachable
  backs off with a log line; never crash-loops.

- adapters/youtube.py drops the torch-whisper transcribe path; pull
  stays. Removes openai-whisper from the default deps and gates
  faster-whisper behind a new `tower` extra (uv sync --extra tower).

- main.py: new `second-brain transcribe-worker` (--once for ad-hoc).
  `process` now article-only on the pull side but still picks up
  TRANSCRIBED of any source_type for the extract step.

Live-verified: migration applies clean, transcribe-worker --once
honors transcription_enabled=false gate.
2026-05-25 10:11:37 -04:00
alembic pipeline split: tower transcribe worker + claim queue + faster-whisper 2026-05-25 10:11:37 -04:00
config postgres migration: schema, models, embeddings, alembic 2026-05-24 22:46:48 -04:00
prompts project init 2026-05-22 19:08:22 -04:00
reviews docs: update CLAUDE.md + migration plan to reflect shipped Postgres design 2026-05-24 22:57:31 -04:00
src/second_brain pipeline split: tower transcribe worker + claim queue + faster-whisper 2026-05-25 10:11:37 -04:00
tests test: smoke test reads embedding model from config, not hardcoded literal 2026-05-24 22:58:30 -04:00
.gitignore add .gitignore 2026-05-24 21:10:53 -04:00
alembic.ini postgres migration: schema, models, embeddings, alembic 2026-05-24 22:46:48 -04:00
CLAUDE.md docs: update CLAUDE.md + migration plan to reflect shipped Postgres design 2026-05-24 22:57:31 -04:00
postgres-migration-planning.md docs: update CLAUDE.md + migration plan to reflect shipped Postgres design 2026-05-24 22:57:31 -04:00
pyproject.toml pipeline split: tower transcribe worker + claim queue + faster-whisper 2026-05-25 10:11:37 -04:00
README.md updates to project files 2026-05-24 22:23:59 -04:00
uv.lock pipeline split: tower transcribe worker + claim queue + faster-whisper 2026-05-25 10:11:37 -04:00

README.md

second-brain

A personal knowledge system built on a video/article extraction pipeline and an LLM-maintained wiki (inspired by the Karpathy LLM Wiki pattern).

What it does

  1. Pull — download YouTube videos or fetch web articles
  2. Transcribe — extract transcripts via Whisper (videos) or trafilatura (articles)
  3. Extract — single-shot Claude call produces structured notes per source
  4. Review — web UI to accept or reject extractions
  5. Compile — wiki compiler folds accepted extractions into a living Obsidian vault

Quick start

# Install dependencies
uv sync

# Copy and edit config
cp config/settings.toml config/settings.local.toml

# Queue a source
uv run second-brain add https://www.youtube.com/watch?v=...

# Run the pipeline
uv run second-brain process

# Review in the web UI
uv run second-brain serve

# Compile to wiki
uv run second-brain compile

Domains

Extractions are tagged by domain so the right prompt template is used:

Domain Focus
development Software, programming, systems
content Content creation, video production
business Entrepreneurship, marketing, ops
homelab Self-hosted infra, networking, DevOps

Extractor backends

Two backends, selectable via [extractor].backend in config/settings.toml:

  • cli (default) — shells out to claude -p --output-format json --json-schema .... Runs under your Max OAuth subscription, no per-token billing. The wrapper spawns the CLI in a throwaway tempfile.TemporaryDirectory and strips ANTHROPIC_API_KEY / ANTHROPIC_AUTH_TOKEN from the env so host CLAUDE.md, hooks, and settings don't leak in, and the subscription is used instead of the API key.
  • api — uses the anthropic Python SDK, requires ANTHROPIC_API_KEY. Install with uv sync --extra api (the SDK is an optional dependency).

Requirements

  • Python 3.12+
  • Either the claude CLI on PATH (default backend) or ANTHROPIC_API_KEY (api backend)
  • ffmpeg (for Whisper audio extraction)

In-flight work

  • Postgres + pgvector migration — SQLite is the current backing store but the project is moving to Travis's Postgres instance. Planning questions live in postgres-migration-planning.md; nothing has been migrated yet.