Local-first privacy
Project scanning, embeddings, the SQLite index, and semantic search run on your machine with local Ollama. No hosted embedding API is required for the indexing pipeline.
Stop digging through folders and repeating context. ContextVault indexes your project locally and gives your AI tools a searchable memory of the code that matters.
Built for Windows 10 (build 19041+) and Windows 11 · Powered by local Ollama · No hosted embedding API required
Find relevant code and knowledge across your indexed project.
Keep retrieval close to your code, connect the tools you already use, and search indexed project context locally.
Project scanning, embeddings, the SQLite index, and semantic search run on your machine with local Ollama. No hosted embedding API is required for the indexing pipeline.
Connect through MCP and let compatible clients retrieve relevant project context with ContextVault's search and indexing tools.
Search your local semantic index without a hosted embedding-service round trip for each query. Results are ranked from chunks already indexed on your machine.
ContextVault turns your local project into searchable context, ready when you or your AI coding tools need it.
Indexing, embeddings, and search run on your machine through local Ollama. Your project does not need a hosted embedding service.
Connect through the Model Context Protocol and expose project search and indexing tools to compatible clients such as Cursor and Claude Desktop.
Semantic search ranks the most relevant code chunks, so you can move from a question to the right part of your codebase faster.
Project files and embeddings stay in your local ContextVault database and Ollama process. No automatic source-code upload to hosted embedding APIs.
Begin with ContextVault Free, then choose monthly or annual Pro billing through one checkout.
$0 / month
Explore the local-first ContextVault workflow and start building searchable project context.
Free plan$9 / month
Or $79 / year with annual billing.
Upgrade to Pro ↗The Pro checkout lets you choose monthly or yearly billing. Subscription terms are shown before payment.
Install once, index a project, then search your code from the web interface or an MCP-compatible desktop client.
Install Ollama for Windows, then run the ContextVault installer. It prepares the supported Node.js runtime and project dependencies.
Enter a local project folder in the onboarding panel. ContextVault scans supported files and creates embeddings locally.
Ask natural-language questions about your code. Live monitoring adds new and changed files to your project index.
ContextVault performs project scanning, chunking, embedding generation, and search locally with Ollama. It does not automatically send project source files to a hosted embedding API. When you use an AI desktop client, that client receives the tool results you request.
ContextVault exposes an MCP server with project indexing and semantic search tools. It can be configured with compatible MCP clients, including Claude Desktop and Cursor.
Install Ollama for Windows before running the installer. ContextVault prepares Node.js 22 and project dependencies; the first launch downloads the nomic-embed-text embedding model if it is not already available.
Yes. After you index a project, the live watcher monitors file additions and changes and updates the local index.
Start with ContextVault and keep project context close to the code.