scribe

scribe is a single-binary CLI that creates and maintains a personal, LLM-written knowledge base. It continuously extracts reusable knowledge from your git repos, Claude Code sessions (via ccrider's FTS5 index), links you iMessage to yourself as bookmarks (your own number is the world's most portable read-it-later list), and local files, then compiles it into a curated wiki that qmd indexes for semantic search. The hot path uses Anthropic's Claude via claude -p; the optional contextualize step can run fully local via Ollama (gemma3:4b / qwen3:4b, $0 API cost).

Not a RAG pipeline. Not a Karpathy-style LLM wiki. scribe keeps raw sources verbatim under raw/ AND compiles a structural wiki on top — both layers are indexed, both are searchable. Dense sources fan out into multiple entity-first wiki pages via a two-pass absorb (not one summary per source). LLM-generated retrieval-context paragraphs get spliced into every article so embedding models catch the implicit entities that aren't literally named in the text. The whole pipeline can run fully local on Ollama (gemma3:4b / qwen3:4b, $0 API cost).

Your KB is a private git repo you own. scribe init scaffolds it from embedded templates; you pick the KB name, domains, owner context, and capture handles. After the first run you edit scribe.yaml freely — everything that used to be hardcoded lives there. Then scribe cron install drops a set of macOS LaunchAgents (Linux: paste-ready crontab lines) and the KB starts growing on its own every time you commit code, use Claude Code, or text yourself a link.

Why bother

1. Claude Code becomes context-aware across sessions. scribe init writes a block into ~/.claude/CLAUDE.md parameterized with the KB name you picked (e.g. mykb, acme-notes, or whatever you chose during init). That block tells Claude to consult your KB via qmd's MCP server — using the collection name that matches your KB — before answering architectural questions, recommending a library, or reproducing a pattern. Mention a project name in any Claude Code session and Claude will query the KB first, pulling prior decisions, rejected tools, past solutions, and the project's own learnings log. No more re-explaining the same context every session; no more Claude suggesting the library you already evaluated and rejected six weeks ago.

Excerpt from the block scribe init writes ({{.KBName}} gets replaced with your KB name, {{.OwnerName}} with yours):

How to search: Use the mcp__plugin_qmd_qmd__query tool when available (preferred), or qmd query "<natural language question>" via Bash. Both work from any directory — qmd collections use absolute paths, so never cd into {{.KBDir}} first.

When to search proactively — don't wait for {{.OwnerName}} to ask. The KB is only valuable if it's consulted before decisions, not after.

Before recommending a library, tool, or framework — query "<name> evaluation verdict". Don't suggest something already rejected.

Before proposing an architectural choice — query "<problem> decision reasoning". Cite the prior decision instead of reinventing it.

When {{.OwnerName}} references past work ("have I done this before", "didn't we decide on X", "which tool did I use for X") — these are direct instructions to search. Don't answer from memory; search.

That single prompt turns your KB into working memory for every Claude Code session. Without it, an LLM-written KB is just a write-only archive. The full block (including the drop-file protocol for contributing from other projects) is in cmd/scribe/templates/claude-md-kb.md.

2. It runs itself. Set it up once, then go back to your regular work. Cron handles the rest:

Every hour: auto-commit the KB.
Every 2 hours: scan git repos for new decisions, patterns, learnings; extract them via claude -p.
3×/day (03:00, 12:00, 18:00): mine Claude Code sessions via ccrider's FTS5 index, scored by keyword density so boilerplate sessions cost nothing.
Every 30 min: drain queued URLs into raw/articles/.
Every 4 hours: pull bookmark-links you texted yourself.
Daily 06:30: retry previously-unfetched link stubs (capture-refetch).
Daily 12:30: structural lint pass over the KB.
Sat 01:00: weekly frontmatter auto-repair (lint-fix).
Sat 01:30: conflict-resolution LLM pass over contradictions (lint-resolve).
Sat 01:45: identity-clustering pass — finds alias clusters across people/tools (lint-identities).
Sat 01:55: auto-apply high-confidence alias clusters (apply-identities).
Sun 02:00: weekly Dream cycle — a 4-phase structured consolidation.
Continuous (KeepAlive): fsnotify watcher on the ccrider DB for near-real-time session extraction (scribe watch).

Nothing demands your attention. You keep working; the KB grows. After two weeks of ordinary Mac use and no manual bookkeeping, the maintainer's personal KB looked like this (Obsidian graph view, 884 files, 45 folders, every node a wikilink in the auto-generated graph):

scriptorium KB after ~2 weeks of normal work. Zero manual note-taking.

3. Knowledge compounds across projects. This is the killer feature for anyone juggling more than one codebase. Research, decisions, rejected tools, solved bugs, and reusable patterns live in one KB — not siloed per-project. When you hit a problem in project B that you already solved in project A six weeks ago, Claude Code surfaces the old solution automatically via the qmd query path above; manual work is qmd query "<natural-language question>" from any terminal in any directory.

Concrete examples from two weeks of the maintainer's normal use:

Evaluated a Go cron library for project A → two weeks later started another Go CLI in project B; Claude pulled the prior evaluation and skipped re-researching the alternatives.
Hit an Oban worker idempotency bug in a Phoenix project → wrote the fix into wiki/patterns/idempotent-worker-skeleton.md → three days later, different Phoenix project, same pattern surfaced without asking.
Tagged an iMessage bookmark about FTS5 MATCH syntax (not parameterizable) → six weeks later, SQL-injection lint fired on a different project; the KB had the exact answer and the workaround.

Without a cross-project KB, each project re-learns the same lessons. With one, the second, third, and fourth time you hit a recurring problem are all fast. The drop-file protocol (see scribe.yaml docs) means knowledge generated inside any project — .claude/scribe/YYYY-MM-DD-*.md — gets absorbed into the central KB on the next cron tick. Write once, find everywhere.

4. You own the substrate. It's a git repo of plain markdown files. Push it to your own GitHub, Gitea, or Forgejo. Open it in Obsidian, VS Code, vim, or mdbook. Grep it with ripgrep. No vendor lock-in, no cloud account, no subscription — if scribe disappears tomorrow, you still have the KB.

What you get after a week

After about a week of normal work on existing projects, the KB has grown itself into something like this. The directory shape is real (it matches scribe's wikiDirs constant); the filenames below are illustrative — yours will be whatever your actual work produces:

my-kb/
├── scribe.yaml                    # your config, edit freely
├── wiki/
│   ├── _index.md                  # auto-generated, entity index
│   ├── _hot.md                    # 500-word rolling context Claude reads on every session
│   ├── _backlinks.json            # reverse-link graph, O(1) lookup
│   ├── decisions/
│   │   ├── chose-oban-over-quantum.md
│   │   └── dropping-circuit-breaker-middleware.md
│   ├── patterns/
│   │   ├── idempotent-worker-skeleton.md
│   │   └── phoenix-scope-based-auth.md
│   ├── learnings/
│   │   ├── why-my-liveview-reconnect-loops.md
│   │   └── fts5-match-cant-be-parameterized.md
│   ├── tools/
│   │   ├── oban.md                # verdict: use
│   │   └── quantum.md              # verdict: skip, with reason
│   ├── research/
│   │   └── 2026-04-auth-library-comparison.md
│   └── projects/
│       └── my-app/
│           ├── overview.md
│           ├── learnings.md       # rolling, append-only
│           └── decisions-log.md
├── raw/articles/                  # verbatim sources (URLs, tweets, imessage clips)
└── output/runs/2026-04-*.jsonl    # per-invocation telemetry for `scribe doctor`

Every file has YAML frontmatter (type:, domain:, confidence:, tags:, related:) so you can filter and traverse programmatically. Every article links to every other article via [[wikilinks]], and scribe link auto-injects See Also sections into orphans based on shared tags. qmd query "<natural language question>" returns semantic hits with snippets — from inside the KB, from any terminal, no cd required.

One concrete loop: you work on my-app, hit a tricky bug in your LiveView, Claude Code helps you fix it. Thirty minutes later scribe sync --sessions mines that session via ccrider's FTS5 index, extracts the root cause + fix + tradeoff, writes it into wiki/learnings/, cross-links it to wiki/patterns/phoenix-scope-based-auth.md, auto-commits + pushes. Two weeks later you hit a similar bug on a different project; qmd query surfaces the old learning before you re-debug it.

Install

Homebrew (macOS, Linux/Linuxbrew)

brew tap oliver-kriska/scribe
brew install oliver-kriska/scribe/scribe

Shell installer

curl -fsSL https://raw.githubusercontent.com/oliver-kriska/scribe/main/install.sh | bash

Pin a specific release:

curl -fsSL https://raw.githubusercontent.com/oliver-kriska/scribe/main/install.sh | bash -s -- --version v0.1.0

The installer writes to $HOME/.local/bin/scribe by default; pass --prefix to change it.

From source

Requires Go ≥ 1.26 and a C toolchain (for go-sqlite3 with FTS5 support):

git clone https://github.com/oliver-kriska/scribe.git
cd scribe
make install    # builds with -tags sqlite_fts5 and drops binary in ~/.local/bin

Runtime dependencies

scribe doctor will tell you which are missing.

Tool	Required	Used for	Install
`claude`	yes	session extraction + absorb	`curl -fsSL https://claude.ai/install.sh \| bash`
`ccrider`	yes	session database for `scribe triage`	`brew install neilberkman/tap/ccrider` (or bundled as a scribe dep via Homebrew)
`qmd`	yes	semantic search over the KB	`npm install -g @tobilu/qmd`
`sqlite3`	yes	chat.db + ccrider reads	`brew install sqlite` / `apt install sqlite3`
`git`	yes	KB auto-commit + cron sync	system package
`trafilatura`	no	URL → markdown (fallback: Jina)	`pipx install trafilatura`
`jq`, `fzf`	no	manual triage / preview	`brew install jq fzf` / apt

Installing scribe via Homebrew (brew install oliver-kriska/scribe/scribe) also pulls git, sqlite, and ccrider automatically. claude, qmd, and the optionals still need their own installs.

Quick start

scribe init --path ~/my-kb
cd ~/my-kb
git remote add origin git@github.com:you/my-kb.git   # optional
scribe cron install
scribe doctor

scribe init will prompt for:

Owner name — used in the CLAUDE.md block Claude Code reads every session.
Owner context — one paragraph: who you are, what you work on, how you think.
Domains — comma-separated list for the domain: frontmatter field. personal and general are always added.
iMessage self-chat handle — phone number or email you iMessage yourself at (optional; leave empty to disable capture).

Everything gets written into scribe.yaml at the KB root. Re-run scribe init --check any time to re-validate against dependencies and templates.

On macOS, if you gave a self-chat handle, scribe init finishes by offering to walk you through Full Disk Access for the scribe binary (needed by scribe capture). You can skip and run scribe fda later — see Full Disk Access below.

Non-interactive

All prompts take matching flags:

scribe init \
  --path ~/my-kb \
  --owner-name "Alice" \
  --owner-context "Platform engineer. Main projects: weblog, infra." \
  --domains weblog,infra \
  --handle "+15551234567" \
  --yes

Cron

macOS — LaunchAgents

scribe cron install     # writes ~/Library/LaunchAgents/com.scribe.*.plist
scribe cron status      # shows loaded/present/missing for each job
scribe cron uninstall   # removes agents

macOS cron runs under launchd without a login Aqua session, so it can't reach the login keychain — which breaks claude -p. scribe cron install installs the jobs as user LaunchAgents in the gui/<uid> domain instead, which do have keychain access.

Full Disk Access for `scribe capture`

macOS won't let any process read ~/Library/Messages/chat.db without Full Disk Access. Apple disallows programs from granting themselves FDA, so the toggle itself is unavoidable — but everything else is automated:

scribe fda

That command:

Detects every scribe binary on disk (~/.local/bin/scribe, the mise-managed copy, etc.) and reports which already have FDA.
Opens System Settings → Privacy & Security → Full Disk Access directly via the x-apple.systempreferences: URL.
Prints the full path to each missing binary — paste it into the file picker (Cmd-Shift-G), Enter, then toggle the checkbox.
Polls every 3 seconds for up to 2 minutes; flips a ✓ next to each binary the moment its grant lands.
Reminds you to reload LaunchAgents (scribe cron uninstall && scribe cron install) so running jobs pick up the grant.

scribe fda --verify is the scriptable form: exit 0 if the current binary has FDA, non-zero otherwise. scribe init prompts once at the end of a fresh bootstrap; scribe doctor surfaces ungranted state in its Recent run errors section with a direct run: scribe fda fix hint.

Manual fallback if you ever need it: System Settings → Privacy & Security → Full Disk Access → + → add the paths scribe fda lists.

Linux — manual crontab

On Linux, scribe cron install prints crontab(5) lines you paste into crontab -e. Example output:

# ---- scribe ----
SHELL=/bin/bash
PATH=/home/alice/.local/bin:/usr/bin:/bin:...

# Hourly KB auto-commit
7 */1 * * * cd "/home/alice/my-kb" && /home/alice/.local/bin/scribe commit

# Project extraction every 2h
23 */2 * * * cd "/home/alice/my-kb" && /home/alice/.local/bin/scribe sync --max 2

# Session mining at 3:00, 12:00, 18:00
0 12 * * * cd "/home/alice/my-kb" && /home/alice/.local/bin/scribe sync --sessions --sessions-max 3 --skip-large
0 18 * * * cd "/home/alice/my-kb" && /home/alice/.local/bin/scribe sync --sessions --sessions-max 3 --skip-large
0 3  * * * cd "/home/alice/my-kb" && /home/alice/.local/bin/scribe sync --sessions --sessions-max 3 --skip-large

# Drain queued URLs into raw/articles/ every 30min
*/30 * * * * cd "/home/alice/my-kb" && /home/alice/.local/bin/scribe ingest drain

# Weekly Dream cycle (Sun 2am)
0 2 * * 0 cd "/home/alice/my-kb" && /home/alice/.local/bin/scribe dream
# ---- end scribe ----

The scribe watch job (fsnotify watcher for ccrider's SQLite DB) is not cron-friendly — run it under systemd-user, supervisord, or a persistent tmux/screen session. scribe cron install on Linux names the jobs that fall into this category so you know what still needs a supervisor.

scribe doctor works the same on either OS: it reads output/runs/*.jsonl for freshness and recent errors, so you can verify scheduled jobs are firing regardless of how they're scheduled.

Configuration

`scribe.yaml` (KB root)

Primary config file. Written by scribe init, edit freely. Highlights:

owner_name: "..."
owner_context: |
  ...one paragraph Claude sees every session...

# Domains the validator accepts. 'personal' and 'general' are always accepted.
domains:
  - work
  - oss

claude_projects_dir: ~/.claude/projects
ccrider_db: ~/.config/ccrider/sessions.db

default_model: sonnet # claude model used for extraction/dream/absorb

capture:
  self_chat_handle: "+15551234567"

# Keyword categories for `scribe triage`. Tune to your stack.
triage:
  keywords:
    decision: "decided OR chose OR tradeoff OR alternative"
    code_pattern: "GenServer OR LiveView OR Ecto OR ..."
    # ... architecture, research, learning, evaluation, deep_work
  weights:
    decision: 3
    code_pattern: 1
    # ... matching weights for each category

Local-mode contextualize (free, offline)

The contextualize step inserts an LLM-generated "retrieval context" paragraph into each raw article so qmd's semantic search can find it. By default it uses Claude Haiku (~$0.0001/doc). You can switch it to a local model via Ollama — fully free, fully offline, no API keys.

One-time setup:

brew install ollama
# macOS: Ollama auto-registers as a launchd service, so `ollama serve` is already running.

Enable local mode — edit scribe.yaml:

absorb:
  contextualize:
    provider: ollama
    # model: gemma3:4b     # optional — scribe uses this as the default for ollama

That's it. On the next scribe sync (or scribe contextualize) scribe will:

Probe http://localhost:11434/api/tags to confirm Ollama is up.
Check if the chosen model is already pulled.
If not, call /api/pull in streaming mode and wait for completion (one-time, ~3.3 GB for gemma3:4b).
Run generation via /api/generate.

No manual ollama pull needed.

Recommended models (April 2026):

Model	Size	When to pick
`gemma3:4b`	3.3 GB	Default. Best speed/quality on Apple Silicon
`qwen3:4b`	~2.5 GB	Richer prose, slightly more verbose
`llama3.2:3b`	~2 GB	Smaller footprint, older-generation
`phi4-mini:3.8b`	~2.5 GB	Reasoning-focused, less natural writing output

All are free and work with scribe's auto-pull. Pick with model: <tag> in scribe.yaml. llama.cpp's llama-server exposes the same /api/generate shape, so ollama_url: http://localhost:8080 also works if you prefer raw llama.cpp over Ollama.

Note. Local-mode currently covers the contextualize step only. Absorb Pass 1 + Pass 2 still use Claude because they rely on Claude Code's tool use (Read, Write, Grep). Porting those to local models is future work.

`~/.config/scribe/config.yaml` (user)

Written by scribe init. Points scribe at your KB so you can run commands from any directory:

kb_dir: /home/alice/my-kb

Environment variables

Variable	Purpose
`SCRIBE_KB`	Override KB root for one command
`SCRIBE_SELF_CHAT_ID`	Override `capture.self_chat_handle`
`SCRIBE_SKIP_REINDEX`	Skip the final `qmd` reindex (useful in tests / CI)
`SCRIBE_PROJECT_ROOTS`	Colon-separated list of parent dirs treated as top-level project roots (default: `Projects:projects:src:code:repos:work`)

Command reference

scribe init         # bootstrap a KB or check an existing one
scribe sync         # discover → extract → absorb → reindex
scribe sync --sessions       # mine Claude Code sessions via ccrider
scribe sync --estimate       # token estimate for pending work (no LLM calls)
scribe triage       # score unprocessed sessions by knowledge density
scribe capture      # pull links you iMessaged to yourself as bookmarks (macOS only; needs Full Disk Access)
scribe ingest url <url> --absorb   # queue-less ingest + contextualize + absorb
scribe absorb <file>         # absorb a local file (md/txt/html) end-to-end
scribe contextualize --scope raw|wiki|all   # insert retrieval-context paragraphs
scribe status       # one-shot KB scoreboard (raw/wiki/ollama/last-sync)
scribe dream        # weekly memory consolidation (4-phase)
scribe lint         # frontmatter + size + orphan checks
scribe lint --contradictions # LLM pass for factual disagreements across articles
scribe link         # link orphan articles to contextual hosts via See Also sections
scribe watch        # long-running fsnotify watcher on ccrider DB (near-real-time session extraction)
scribe assess <project>      # one-shot parallel deep assessment of a project (5 tracks + consolidation)
scribe doctor       # deps + config + cron + freshness + errors
scribe fda          # macOS Full Disk Access probe + interactive grant flow
scribe cron {install,status,uninstall}

Run scribe <cmd> --help for the full flag set of each. A handful of internal plumbing commands (backlinks, index, orphans, validate, hook, hot, write, debug, sessions, commit, scan, deep) are also available — they're invoked by scribe sync and scribe dream under the hood, but can be run standalone for debugging.

How scribe differs from other tools

Since Karpathy's LLM-wiki gist in April 2026, a handful of open-source takes have appeared. Scribe lives in the same neighborhood but optimizes for different tradeoffs. A quick honest map.

Snapshot: 2026-04-21. The tools listed below are moving targets — feature sets, stars, and design decisions change month-to-month. The comparison reflects what their public source looked like on this date, verified by reading the code rather than the README. If you're reading this months later, check each repo for recent changes before making a decision.

Tool	Session mining	Cron-driven	Density pre-filter	Two-pass absorb	Multi-project	Local-mode option
scribe	✅ via ccrider FTS5	✅ LaunchAgents / cron	✅ BM25 triage	✅ fan-out	✅	✅ Ollama / llama.cpp
`coleam00/claude-memory-compiler`	✅ every session, no filter	❌ opportunistic	❌ (see issue #3: $115 in 20 min)	❌	❌	❌
`AgriciDaniel/claude-obsidian`	❌ read-time only	❌	n/a	❌	read-only	❌
`nvk/llm-wiki`	❌	❌ one-shot `/wiki:assess`	n/a	❌	❌	❌
`basicmachines-co/basic-memory`	❌ (open issue #669 since 2026-03)	❌ cron suggested	n/a	❌	✅ via projects	❌
LangChain / LlamaIndex RAG	❌	n/a (indexing only)	n/a	❌ chunks only	✅	varies
Obsidian / Notion / Reflect	❌ manual	❌	n/a	❌	✅ manual	n/a

Where scribe's niche is

Against RAG stacks (LlamaIndex, LangChain, classic embedding pipelines). RAG stores chunks and retrieves at query time — there's no curation layer, no named entity pages, no decision log. Scribe keeps raw sources AND compiles a structural wiki on top. The wiki is the product; qmd embedding is the index into it.
Against manual note-taking (Obsidian, Notion). Those expect you to do the writing. Scribe watches your git commits, Claude Code sessions, and self-sent URLs, then writes the notes. You review and curate, the LLM does the data-entry.
Against claude-memory-compiler. Memory-compiler runs an LLM call on every Claude Code session with ≥1 turn. A single Max-20x user burned $115 in 20 minutes on issue #3. Scribe's scribe triage scores sessions by BM25 keyword density before calling Claude, so boilerplate sessions never cost anything. sync --max caps project-extraction work; the rate-limit bail-out hands cleanly to the next cron run instead of blocking.
Against claude-obsidian and nvk/llm-wiki. Those are read-time research companions — plugin skills and slash commands, no binary, no cron. Great for interactive investigations, not for background absorption of weeks of work. Scribe runs as a scheduled daemon and produces the KB whether or not you open a terminal that day.
Against basic-memory. Basic-memory has the best graph model of the bunch (inline [decision] observations, auto-generated relations). What it doesn't do is ingest Claude Code session transcripts (open feature request since March 2026) or iMessage self-chat URLs, and its Dream-analog skills aren't scheduled. Scribe covers those; if you want the richer graph DSL, basic-memory is the reference.

What scribe is not trying to be

Not a drop-in replacement for agent runtime memory (mem0, Letta, Zep, Cognee, Supermemory). Those live in-process behind an agent; scribe is a file-tree on disk you can grep.
Not a SaaS product. No server to host, no account, no sync tier. The KB is a git repo you own — push it to your own GitHub/Gitea/Forgejo, or keep it purely local.
Not opinionated about your editor. Scribe writes plain markdown with frontmatter. Obsidian, VS Code, or vim all render it fine; Obsidian users get wikilinks for free.

License

MIT.

Name		Name	Last commit message	Last commit date
Latest commit History 55 Commits
.github/workflows		.github/workflows
Formula		Formula
cmd/scribe		cmd/scribe
docs		docs
scripts		scripts
.gitignore		.gitignore
.golangci.yml		.golangci.yml
.goreleaser.yml		.goreleaser.yml
CHANGELOG.md		CHANGELOG.md
CLAUDE.md		CLAUDE.md
Justfile		Justfile
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
SECURITY.md		SECURITY.md
go.mod		go.mod
go.sum		go.sum
install.sh		install.sh
lefthook.yml		lefthook.yml

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