Local semantic search CLI for Markdown vaults. BM25 + vector + wikilink graph + source metadata, fused via RRF. Native CJK.
Project description
SeekLink
SeekLink is a local semantic search CLI for Markdown vaults. It indexes a folder
of .md files, searches with hybrid keyword + vector retrieval, and returns
line-anchored results that humans and agents can read with simple shell
commands.
It is built for personal knowledge bases, Obsidian-compatible vaults, bilingual English/Chinese notes, and local agent workflows. It is also a useful search layer for Markdown wiki patterns such as Andrej Karpathy's llm-wiki: an agent can search existing pages, read precise line windows, then update the wiki without sending the vault to a hosted service.
Everything runs locally. No API key. No cloud search service. No Obsidian plugin required.
Install
uv tool install seeklink
# or
pip install seeklink
For Apple Silicon reranking support, install the optional MLX extra:
uv tool install "seeklink[mlx]"
# or
pip install "seeklink[mlx]"
SeekLink requires Python's sqlite3 module to be linked against SQLite
3.45 or newer with FTS5 enabled. seeklink status --vault PATH checks this and
prints a clear error if the runtime SQLite is too old.
Quick Start
# 1. Build the index first.
seeklink index --vault /path/to/vault
# 2. Search it.
seeklink search "machine learning" --vault /path/to/vault
Daily use is simpler if you set a default vault:
export SEEKLINK_VAULT=/path/to/vault
seeklink index
seeklink search "agent memory systems"
seeklink get notes/agent-memory-patterns.md:1 -C 20
seeklink search and single-file seeklink index path/to/file.md auto-use a
resident daemon when SEEKLINK_VAULT is set and --vault is not passed. The
daemon keeps the embedder and optional reranker in memory. Full-vault
seeklink index runs in-process so progress stays on stderr and the final
Done: summary stays on stdout. seeklink status and seeklink get always
stay cold-start: status only reads SQLite metadata, and get reads the file
directly from disk. Use --no-daemon or SEEKLINK_NO_DAEMON=1 when a script
needs the cold-start path even with SEEKLINK_VAULT set.
Output
Text search output is stable:
SCORE PATH[:LINE] TITLE
<content preview, one line, up to 120 chars>
PATHis relative to the vault root.LINEis 1-indexed and points to the best matching chunk in the current file.- Exit code is
0for success, including no results;1for runtime vault/config/file errors detected by SeekLink; and2for command-line usage errors from argument parsing. - Scores are useful for sorting within one query. Do not compare scores across reranker-enabled and reranker-disabled runs.
Use JSON when an agent needs structured output:
seeklink search "agent memory systems" --vault PATH --json
seeklink status --vault PATH --json
seeklink doctor --vault PATH --json
Common Commands
Search
seeklink search "query" --vault PATH [options]
Options:
--top-k N Number of results. Default: 10.
--json Emit one machine-readable JSON object.
--tags TAG [TAG] Filter by tags. AND semantics.
--folder PREFIX Filter by vault-relative folder prefix.
--rerank-k N|auto Rerank candidate budget. Default: auto.
--no-rerank Skip cross-encoder reranking for this query.
--no-daemon Force an in-process search instead of using the daemon.
--title-weight F Override title/alias/heading channel weight. Default: 1.5.
Get
Read a precise file window without using the database or daemon:
seeklink get notes/spaced-repetition.md
seeklink get notes/spaced-repetition.md:12
seeklink get notes/spaced-repetition.md:12 -l 40
seeklink get notes/spaced-repetition.md:12 -C 20
-l/--lines prints lines starting at LINE. -C/--context prints lines before
and after LINE, grep-style. Path escapes such as ../.. are rejected.
Status
seeklink status --vault PATH
seeklink status --vault PATH --json
Status reports index counts, model names, index-configuration compatibility, SQLite WAL status, and freshness warnings. It does not load the embedding or reranking models.
Doctor
seeklink doctor --vault PATH
seeklink doctor --vault PATH --json
Doctor checks Python, SQLite, the local database, index compatibility, and optional MLX availability. It does not download or load models, but may initialize the local SeekLink database/schema if missing.
Index
seeklink index --vault PATH
seeklink index path/to/file.md --vault PATH
Full-vault indexing skips unchanged files by content hash unless the stored index was built with a different embedder, vector dimension, or chunker configuration, in which case SeekLink rebuilds the derived index contents. Single-file indexing updates one Markdown file only when the existing index configuration is compatible.
Daemon
seeklink daemon --vault PATH
You normally do not run this directly. search and single-file index
auto-spawn and auto-restart the daemon when appropriate. Full-vault index
still runs in-process for progress output. Passing --vault to search or
single-file index forces a one-shot cold-start path because the daemon is
bound to one vault at startup. --no-daemon and SEEKLINK_NO_DAEMON=1 also
force the same cold-start path.
How Search Works
SeekLink fuses four channels with Reciprocal Rank Fusion:
| Channel | Purpose |
|---|---|
| BM25 / FTS5 | Exact words, code terms, acronyms, CJK lexical matches |
| Vector search | Semantic matches across different wording |
| Title / aliases / headings | Exact note and section lookup |
| Wikilink indegree | Small graph-quality prior from existing [[links]] |
The default embedder is jinaai/jina-embeddings-v2-base-zh through
fastembed. CJK full-text search uses a jieba FTS5 tokenizer when the local
Python/SQLite build can safely register it; otherwise SeekLink falls back to
SQLite's built-in trigram tokenizer instead of crashing.
The default vector dimension is 768. Advanced custom-embedder experiments can
set SEEKLINK_EMBEDDING_DIM, but it must match the embedder output and requires
a full seeklink index rebuild.
On Apple Silicon, SeekLink can rerank candidates with
mlx-community/Qwen3-Reranker-0.6B-mxfp8 when installed with seeklink[mlx].
Reranking is local and optional; if MLX is unavailable, SeekLink falls back to
first-stage hybrid RRF ranking. Use --no-rerank for one query or set
SEEKLINK_RERANKER_MODEL="" to disable it globally.
Frontmatter
Markdown frontmatter is optional. When present, SeekLink uses it for tags and aliases:
---
tags: [ai, memory]
aliases: [LLM memory, agent memory]
---
tagssupport filtered search:seeklink search "memory" --tags aialiasesare indexed for search and used when resolving wikilinks
Storage
SeekLink writes one SQLite database inside the vault:
/path/to/vault/.seeklink/seeklink.db
The database contains source metadata, chunks, FTS5 tables, sqlite-vec vectors,
and a wikilink graph. Delete .seeklink/ and run seeklink index to rebuild.
Supported
| Area | Status |
|---|---|
| Python | 3.11, 3.12, 3.13, 3.14 |
| SQLite | Python sqlite3 linked against SQLite 3.45+ with FTS5 |
| OS | macOS and Linux |
| Windows | Not supported as a first-class path |
| File format | Markdown .md |
| Vault style | Plain folder or Obsidian-compatible vault |
| CJK | Native path via jieba, with trigram fallback on static SQLite builds |
| Reranker | Optional seeklink[mlx] extra on Apple Silicon; disabled elsewhere |
| Daemon | Single vault per machine |
Not For
- Hosted or synced multi-user search.
- Non-Markdown sources without conversion.
- A GUI or Obsidian plugin.
- Sub-millisecond search over millions of notes.
- Cloud embedding or reranking APIs.
Agent Notes
Agents can use SeekLink through ordinary subprocess calls:
seeklink status --vault PATH
seeklink index --vault PATH
seeklink search "query" --vault PATH --json
seeklink get PATH:LINE -C 20 --vault PATH
To make an agent choose SeekLink for a Markdown vault, add this to the
project's AGENTS.md, CLAUDE.md, or editor rules:
When you need to search or inspect this Markdown vault, use SeekLink for
semantic retrieval:
1. Run `seeklink status --vault PATH --json`.
2. If no index exists or files changed, run `seeklink index --vault PATH`.
3. Run `seeklink search "QUERY" --vault PATH --json`.
4. Read exact context with `seeklink get PATH:LINE -C 20 --vault PATH`.
Prefer SeekLink for conceptual, cross-language, tag/folder-filtered, or
Obsidian-style note searches. Use rg for exact literal searches.
For hot loops, the daemon exposes a length-prefixed JSON protocol over the Unix
socket at ~/.rhizome/seeklink.sock. Most agents should prefer the CLI JSON
surface unless they specifically need socket-level latency.
See llms.txt for the compact agent contract.
Evaluation
Search-quality tests live in tests/blind/; the method is documented in
docs/blind-test.md. Release claims should be backed by
the bundled fixture queries or by clearly labeled private-vault measurements.
Contributing
git clone https://github.com/simonsysun/seeklink
cd seeklink
uv sync --dev
uv run python -m pytest tests/ -q
Keep runtime dependencies small, keep public docs user-facing, and add a
CHANGELOG.md entry for user-visible changes.
License
MIT
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