Distillery
Team Knowledge, Distilled
Capture, classify, connect, and surface team knowledge through conversational commands.
Documentation · Skills · Quick Start · Roadmap · Slides
What is Distillery?
Distillery is a team knowledge base accessed through Claude Code skills. It refines raw information from working sessions, meetings, bookmarks, and conversations into concentrated, searchable knowledge — stored as vector embeddings in DuckDB and retrieved through natural language. Runs locally over stdio or as a hosted HTTP service with GitHub OAuth for team access.
Distillery captures the highest-value transformation — from noise to signal — and makes it a tool the whole team can use.
Full documentation: norrietaylor.github.io/distillery
Skills
Distillery provides 10 Claude Code slash commands:
| Skill | Purpose | Example |
|---|---|---|
/distill | Capture session knowledge with dedup detection | /distill "We decided to use DuckDB for local storage" |
/recall | Semantic search with provenance | /recall distributed caching strategies |
/pour | Multi-entry synthesis with citations | /pour how does our auth system work? |
/bookmark | Store URLs with auto-generated summaries | /bookmark https://example.com/article #caching |
/minutes | Meeting notes with append updates | /minutes --update standup-2026-03-22 |
/classify | Classify entries and triage review queue | /classify --inbox |
/watch | Manage monitored feed sources | /watch add github:duckdb/duckdb |
/radar | Ambient feed digest with source suggestions | /radar --days 7 |
/tune | Adjust feed relevance thresholds | /tune relevance 0.4 |
/setup | Onboarding wizard for MCP connectivity and config | /setup |
Quick Start
Plugin Install (Recommended)
claude plugin marketplace add norrietaylor/distillery
claude plugin install distillery
Then run the onboarding wizard in Claude Code:
/setup
This verifies MCP connectivity, detects your transport, and configures auto-poll for ambient intelligence.
Demo Server: The plugin defaults to
distillery-mcp.fly.dev, which is a demo server for evaluation only. Do not store sensitive or confidential data. For production use, deploy your own instance or run locally.
Local Setup
git clone https://github.com/norrietaylor/distillery.git
cd distillery
pip install -e .
See the Local Setup Guide for configuration and MCP server connection.
Development
pip install -e ".[dev]"
pytest # run tests
mypy --strict src/distillery/ # type check
ruff check src/ tests/ # lint
See Contributing for the full guide.
License
Apache 2.0 — see LICENSE for details.