Consilience

Find the links your notes are missing.

Obsidian's CLI finds the links that are broken. Consilience finds the ones that are missing — pairs of notes that are clearly about the same thing but were never linked, because you wrote them three weeks apart and never noticed.

It runs entirely on your machine. No cloud, no API key, no account. Embeddings come from a local Ollama model, and the index is a single SQLite file that lives next to your notes.

Why I built this

I keep a large vault, and every few months I stumble on two notes that obviously belong together and think "how did I never link these?" Search doesn't help with that — search finds notes when you already know what you're looking for. The connections I was missing were exactly the ones I wasn't searching for.

So the tool does one thing. It reads the vault, embeds each note locally, and tells me which pairs are close in meaning but have no link between them. Nothing else. It doesn't edit my notes, it doesn't phone home, and it stays out of the way until I ask it a question.

Related MCP server: ob-smart-connections-mcp

Install

From source (Python 3.10+):

git clone https://github.com/Abner-Machado/consilience
cd consilience
pipx install .   # or: pip install .

You also need Ollama with an embedding model:

ollama pull nomic-embed-text

Use it

Index the vault (this is the step that needs Ollama), then ask for suggestions (this step runs offline):

consilience index ~/notes
consilience suggest ~/notes

Example:

7 missing link(s):

  0.891  Spaced repetition  <->  Why I forget things
          learning/spaced-repetition.md   |   journal/2025-forgetting.md
  0.864  Stoicism           <->  Dealing with setbacks
          philosophy/stoicism.md          |   journal/setbacks.md

Useful flags:

consilience suggest ~/notes --threshold 0.82   # stricter matches only
consilience suggest ~/notes --note "Stoicism"  # just this note's missing links
consilience suggest ~/notes --json             # for scripts

Re-running index only re-embeds notes that changed, so it stays fast.

Use it from an MCP client

Consilience speaks the Model Context Protocol, so an assistant can ask for suggestions directly. Point your client at it:

{
  "mcpServers": {
    "consilience": {
      "command": "consilience",
      "args": ["serve"]
    }
  }
}

Two tools are exposed: suggest_links (missing links across the whole vault) and related_notes (missing links for one note). Both re-index incrementally before answering.

How it works

1. Every .md file is read; its title, body, and outgoing [[wikilinks]] are parsed. Notes are keyed by file stem, the way Obsidian resolves links.

2. Each note is embedded by the local model and stored in SQLite as raw float32 bytes. No vector database.

3. On suggest, note embeddings are compared with cosine similarity. A pair is returned when it clears the threshold and neither note already links to the other, in either direction.

The full design is in SPEC.md.

Development

Install the package with its test dependencies and run the suite:

pip install -e ".[dev]"
pytest

The tests in tests/ cover the vault parser and the suggestion engine, and run fully offline — no Ollama or network access is needed.

Where it fits

• Obsidian's official CLI and plugins like Vault Inspector handle broken links and orphans. Consilience does not — it is the complementary half.

• Smart Connections shows related notes while you read one note. Consilience audits the whole vault at once and works from the command line or an MCP client, with no plugin and no Obsidian instance running.

Troubleshooting

index is the only step that talks to Ollama, so that is where setup problems surface:

• Cannot reach Ollama ... — Ollama is not running. Start it with ollama serve. If it listens on a non-default address, point Consilience at it with OLLAMA_HOST=http://host:port.

• Model '...' is not available — the embedding model was never pulled. Run ollama pull nomic-embed-text, or set CONSILIENCE_MODEL to a model you already have.

suggest reads the existing index and never contacts Ollama, so it keeps working offline once a vault has been indexed.

Limits

Stated plainly, because they matter:

• Comparison is O(n²). It's comfortable up to a few thousand notes; a very large vault will be slow.

• Long notes are truncated before embedding, so a very long note is judged on its opening.

• Two notes that share a file name collide on their key; the last one wins.

License

MIT. See LICENSE.