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License: MIT Any use incl. commercial
Local-run terms: Users may compile from source or use provided Linux binaries to run the CLI locally for indexing and querying personal Markdown vaults.

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notebrain-cli

FreeOpen SourceSelf-Hosted

Pricing

Model
Free

Summary

Your Obsidian vault has ten thousand notes and semantic search that amounts to grep — the connections you need exist in the graph, but nothing surfaces them when a coding agent asks a question. NoteBrain CLI was built to close that gap.

NoteBrain indexes your Markdown notes into a local ChromaDB vector database and gives you semantic search, wikilink graph traversal, and hidden-connection discovery through structured CLI output. Every bit of it runs on your machine — no API calls, no cloud dependency, no data leaving the host. The structured output is designed to be consumed directly by shell pipelines or LLM tool-use workflows, which means a coding agent can query your vault the same way it queries a function. The ceiling appears when your query logic needs to span multiple hops or filter by metadata at scale — ChromaDB local mode is not a production vector database, and the index will need a rebuild whenever the vault structure shifts significantly.

Bottom line: Bet on NoteBrain CLI when you need a fully offline RAG backend for a personal vault or a local agent setup — plan around it when you need multi-tenant access, a persistent API endpoint, or a vector store that survives frequent large-scale vault restructuring without a full reindex.

Community Performance Report Card

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Best For: Obsidian power users seeking local semantic search, Developers building agentic coding setups, Users who want fully offline Markdown knowledge bases

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  • Fully local ChromaDB indexing with zero network calls, so your vault contents never touch an external server — which matters when notes contain unpublished code, client context, or anything you cannot route through a third-party API.
  • Structured CLI output designed for agent tool-use, so a coding agent can query your vault the same way it calls a function — rather than scraping unformatted text and hoping the LLM parses it correctly.
  • Wikilink graph traversal alongside semantic search, so you get two retrieval signals instead of one — structurally connected notes surface even when the embedding similarity score would have missed them.
  • MIT license with self-hosted operation, so there is no vendor lock-in, no pricing gate on features, and no dependency on a service that can change its terms or go offline.
  • Ships with an agent skill definition and OpenCode integration documented in the repository, so wiring it into an existing agent setup does not require building the tool-call interface from scratch.
  • There is no persistent HTTP API — the CLI is the only interface, which means any workflow that needs a long-running queryable endpoint (a web app, a multi-agent system polling for context, a teammate's machine) cannot use NoteBrain without wrapping it in a custom server layer that the project does not provide.
  • The local ChromaDB backend is not designed for large-scale or high-frequency writes: when vault structure changes significantly, the index requires a rebuild, and teams with vaults that evolve rapidly report that the rebuild cycle interrupts agent workflows that depend on fresh results.
  • A team whose vault scales to tens of thousands of frequently-updated notes, or whose agents need concurrent read access from multiple processes, will hit local ChromaDB's performance and concurrency limits — at that point, the path forward is a dedicated vector database (Qdrant, Weaviate, or a hosted alternative) with a custom ingestion pipeline, which means migrating off NoteBrain entirely.

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About

Platforms
Linux (binaries); source compiles on other platforms
API Available
No
Self-Hosted
Yes
Last Updated
2026-07-21T09:01:26.287Z

Best For

Who it's for

  • Developers building agentic coding setups
  • Users who want fully offline Markdown knowledge bases

What it does well

  • Semantic retrieval from personal Obsidian vaults
  • Graph-based exploration of note connections
  • Providing structured knowledge context to autonomous coding agents
  • Offline RAG backend for local LLM workflows

Integrations

OpenCodePi agentClaude Codeshell pipelinesLLM tool-use workflows

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Frequently Asked Questions

Is notebrain-cli free?
Yes — notebrain-cli is fully free to use. There is no paid tier.
Is notebrain-cli open source?
Yes. notebrain-cli is open source.
Can I self-host notebrain-cli?
Yes. notebrain-cli supports self-hosting on your own infrastructure.
What platforms does notebrain-cli support?
notebrain-cli is available on: Linux (binaries); source compiles on other platforms.

Hours Saved & ROI Stories Community

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notebrain-cli

NoteBrain CLI is a Go-based command-line tool that converts an Obsidian vault or any folder of Markdown files into a queryable knowledge backend. The core workflow: the CLI indexes notes into a local ChromaDB vector database, then exposes three retrieval modes — semantic search, wikilink graph traversal, and hidden-connection discovery — all returning structured output that can be piped directly into another process or consumed by an LLM tool-use call.

The differentiating feature is the combination of vector similarity and graph traversal in a single local tool. Most local RAG setups stop at embedding similarity; NoteBrain adds wikilink-aware graph walking, so a query can surface notes that are semantically adjacent and notes that are structurally connected through your own links — two different signals that often return different results. The vendor states this is specifically designed so autonomous coding agents can query the vault as a structured tool, not just a text dump.

The tool fits tightly into offline or air-gapped developer workflows: a coding agent that needs domain context, a local LLM that needs a knowledge grounding layer, or an Obsidian power user who wants CLI-level search without leaving the terminal. It breaks down when you need a persistent HTTP API (there is none — the CLI is the interface), when multiple processes need concurrent access, or when the vault grows to a scale where local ChromaDB performance degrades and a rebuild cycle becomes disruptive. Teams that hit that ceiling move to a hosted or self-managed vector database with a proper ingestion pipeline.

The repository ships with an AI agent skill definition and documented integration with OpenCode, confirming the tool is explicitly designed to sit inside an agent’s tool-use chain rather than as a standalone search UI. It is MIT-licensed and self-hosted by definition — there is no hosted option and no server component.