repo for storing the second brain project
Go to file
Travis Herbranson f44ac2ff7c test: smoke test reads embedding model from config, not hardcoded literal
a-review (gemini, full migration diff) flagged that the smoke test had
the embedding model name baked into the SQL count query, decoupling it
from the application's configured value. Read it back from
`config.embeddings.model` (env override still wins) so the test stays
valid if the default ever moves off nomic-embed-text.
2026-05-24 22:58:30 -04:00
alembic alembic: skip CREATE SCHEMA when present + add embedding smoke test 2026-05-24 22:49:06 -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 gauntlet: fix lint — drop unused imports + reorder models.py + add dev deps 2026-05-24 22:52:08 -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 gauntlet: fix lint — drop unused imports + reorder models.py + add dev deps 2026-05-24 22:52:08 -04:00
README.md updates to project files 2026-05-24 22:23:59 -04:00
uv.lock gauntlet: fix lint — drop unused imports + reorder models.py + add dev deps 2026-05-24 22:52:08 -04:00

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.