openclerk

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SUMMARY

The governance layer for LLM-maintained Markdown wikis.

README.md

OpenClerk

The governance layer for LLM-maintained Markdown wikis. One binary. One SKILL.md.

Local-first, citation-bearing memory for coding agents that should not reread,
duplicate, or silently rewrite truth.

Watch OpenClerk catch stale memory in 60 seconds

curl -fsSL https://github.com/yazanabuashour/openclerk/releases/latest/download/install.sh | sh
openclerk demo init
openclerk demo ask "what changed and what is stale?"

The demo creates an isolated sample vault, writes a source note and synthesis
page, changes the source, and reports the synthesis as stale with citations and
a compile_synthesis repair request.

What is this?

OpenClerk gives agents a citation-bearing, provenance-tracked knowledge base
over your local markdown vault. Agents read and write through a strict JSON
runner — a stable, citable contract that keeps canonical markdown as the
human-readable authority. Knowledge compounds: useful synthesis becomes durable,
inspectable markdown instead of being rediscovered on every query.

Who is it for?

Technical users building agent workflows over local markdown, source notes, or
research vaults. If you want your agent to know your notes — not just search
them — and you want to audit every write, this is the runtime for that.

Why not just RAG / Obsidian / NotebookLM?

OpenClerk RAG pipeline Obsidian NotebookLM
Canonical authority Markdown in vault Embedding index Markdown in vault Google's servers
Agent-native writes Yes, with provenance No No No
Citations on retrieval Yes, always Varies No Yes
Local-first Yes Depends Yes No
Composable modules Yes DIY Plugin ecosystem No

Many RAG setups make the index the primary agent interface. OpenClerk keeps
markdown as the human-readable authority and treats indexes and projections as
derived recall layers. Obsidian has no agent-write contract. NotebookLM is not
local.

For a more detailed buyer matrix, see docs/comparison.md.

Try it in 5 minutes

Direct install:

curl -fsSL https://github.com/yazanabuashour/openclerk/releases/latest/download/install.sh | sh

Full install options: docs/install.md

Or tell your agent:

Install OpenClerk into $HOME/.local/bin using https://github.com/yazanabuashour/openclerk/releases/latest/download/install.sh or the requested release. Register release-matched skills/openclerk/SKILL.md from installer output. Verify command -v openclerk, openclerk --version, and skill path. Report only after runner and skill verify.

Upgrade prompt:

Upgrade OpenClerk using https://github.com/yazanabuashour/openclerk/releases/latest/download/install.sh or the requested release. Re-register release-matched skills/openclerk/SKILL.md from installer output. Verify command -v openclerk, openclerk --version, and skill path. Report only after runner and skill verify.

Then bind your vault and verify retrieval:

openclerk init --vault-root path/to/vault
printf '%s\n' '{"action":"search","search":{"text":"architecture","limit":5}}' \
  | openclerk retrieval

Each result carries a doc_id, chunk_id, and citation path. That's the
contract.

What to test first

These are the eval-worthy surfaces in priority order:

  1. Lexical search — search for a topic you know is present and verify five cited results.
  2. Document write → re-search — create a short note, then search for it and confirm the cited result appears.
  3. Synthesis page lifecycle — create a synthesis/ page from source paths, update it, inspect provenance.
  4. Duplicate candidate detection — ingest a near-duplicate, then confirm duplicate_candidate_report surfaces it rather than silently creating a second document.
  5. Relationship graph context — run graph_context_report for a known markdown page and confirm canonical relationship text, links/backlinks, graph freshness, and provenance refs are returned without creating graph truth.
  6. Relationship graph reports — run graph_relationship_report for the same page and confirm relationship paths, direct-vs-derived evidence, typed candidates, and limited graph audit findings stay cited and read-only.
  7. Relationship maintenance plans — run graph_relationship_maintenance_plan for the same page and confirm candidate section content, next approved write requests, duplicate handling, rollback/audit path, and failure modes are returned with planned_no_write.
  8. Retrieval replay loop — explicitly run retrieval_eval_capture for a dogfood search, then run retrieval_eval_replay after changes and inspect Jaccard, top-1, and latency metrics. Capture is local-only and stores result ids/paths, not raw vault content.
  9. Search diagnostics — run search_diagnostics_report for a query and confirm it recommends default search versus explicit semantic_search, shows module readiness/cost/latency posture, and reports no default ranking change.
  10. Maintenance report — run maintenance_report for a relevant query/path prefix and confirm layout, projection freshness, relationship context, duplicate risk, module posture, and git lifecycle posture are packaged read-only with no repair.
  11. Stale projection detection — update a source doc, then confirm downstream synthesis shows as stale before repair.

Report correctness, tool call count, and wall time. That's how the maintainers
gate new features.

Artifact And File-Type Support

OpenClerk treats artifact content as candidate evidence until a durable write is
approved. The current support matrix is:

Input Supported path Boundary
Public PDF, HTML, Markdown, or GitHub README/blob URL ingest_source_url Runner-owned inspect/plan, fetch, provenance, duplicate checks, and approved create/update only
Supplied video transcript ingest_video_url Transcript text and provenance must be supplied; no native media acquisition
Pasted or explicit content artifact_candidate_plan Read-only path/title/body/tags/fields/duplicate proposal before approval
Explicit local text, markdown, or text-bearing PDF artifact_candidate_plan with local_path Reads only the supplied file; no durable write
Common images or scan-only PDFs artifact_candidate_plan with text_extraction: "ocr_review" and verified tesseract-ocr module OCR text is review-required candidate evidence
Opaque binaries, slide decks, emails, chats, forms, native media without transcript Unsupported by default Paste reviewed text or use a supported runner path

No parser output, OCR result, local file metadata, or fetched source becomes
canonical until the user approves the existing write action.

Modules

OpenClerk follows the building block economy
model deliberately. The mainline runner stays narrow. Optional behavior ships
as separately installed, manifest-verified modules:

Agent Module Instructions

Install prompt:

Install the OpenClerk module <module-provider> using <module-manifest-path>.
Use <module-command> on PATH, register <module-skill-path>, and verify with `openclerk module` list_modules. Do not pass command_args or edit SQLite directly.

Upgrade prompt:

Upgrade the OpenClerk module <module-name> to <module-version-or-latest>.
Refresh registration through `openclerk module`, preserve existing provider config, and verify with list_modules. Do not edit SQLite directly.

Available installable modules:

Module name Provider Adds Manifest Skill
ollama-embeddings ollama Semantic search (local-first) modules/ollama-embeddings/module.json modules/ollama-embeddings/skill/ollama-embeddings/SKILL.md
gemini-embeddings gemini Semantic search (cloud opt-in) modules/gemini-embeddings/module.json modules/gemini-embeddings/skill/gemini-embeddings/SKILL.md
tesseract-ocr tesseract OCR review for images and scan-only PDFs modules/tesseract-ocr/module.json modules/tesseract-ocr/skill/tesseract-ocr/SKILL.md

Core lexical search and citation behavior require no modules. Semantic search
is explicit opt-in — it accelerates recall, it does not become the authority
layer. No hidden provider fallback. No committed embedding cache. Full module
install guidance lives in modules/docs/install.md.

Inspect the current block inventory:

openclerk capabilities

What is explicitly not supported yet

  • Autonomous browsing / recursive URL crawlingingest_source_url can inspect, plan, or ingest supplied public URLs through the runner, but it does not browse the open web autonomously or recursively crawl discovered links.
  • Automatic video transcript acquisition — not supported.
  • Hosted service or cloud sync — fully local. No OpenClerk server, no SaaS.
  • Multi-user / team server — single-user, single-machine runtime.
  • Broad vector DB memory — no Pinecone, Weaviate, or default durable vector index. Semantic modules are optional and local-only by default.
  • Autonomous memory and routing — deferred until docs, synthesis, and truth-sync layers are reliable. See docs/architecture/memory-routing-reference-decision.md.

Runner

openclerk config      # persisted product/profile config
openclerk document    # doc writes, registry, paths
openclerk retrieval   # search, graph context/reports, records, provenance
openclerk clerk       # optional read-only Chronicler orchestration
openclerk capabilities

JSON in, JSON out. See runner help:

openclerk config --help
openclerk document --help
openclerk retrieval --help
openclerk clerk --help

openclerk config inspect_config is the read-only effective config summary for
storage, profile defaults, module summaries, and git lifecycle gate posture.
openclerk config owns persisted product/profile preferences such as the
default autonomy profile. openclerk module owns optional provider writes.
Vault-root binding is storage bootstrap config: initialize or intentionally
rebind it with openclerk init --vault-root, not openclerk config.
Request-level document and retrieval autonomy fields override persisted
profile defaults field-by-field. Git checkpoint enablement remains
invocation-scoped through --git-checkpoints or OPENCLERK_GIT_CHECKPOINTS.
openclerk clerk run --once is the combined Chronicler MVP report. The same
read-only primitives are also exposed as openclerk clerk inbox_scan for
explicit local inbox candidate planning and openclerk clerk context_pack for
task context, must-read documents, decisions, and citations. All three emit
openclerk-clerk.v1, report planned_no_write: true, and perform no durable
vault writes. Planning that inspects Core evidence requires existing
OpenClerk storage; Chronicler returns a blocker rather than initializing
SQLite from a read-only command.

Storage: ${XDG_DATA_HOME:-~/.local/share}/openclerk/openclerk.sqlite
Override: OPENCLERK_DATABASE_PATH or --db

Architecture

Contributing

See CONTRIBUTING.md, SECURITY.md, and docs/maintainers.md.

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