Your AI can query Notion, Jira, or local markdown files - but every lookup costs tokens, time, and roundtrips. NodeSpace pre-indexes your product knowledge for instant semantic search.
For product teams using Claude Code, Cursor, or AI assistants who are tired of burning tokens on context lookup every session.
*Benchmarked against grep/ripgrep on local markdown docs
No credit card. We're onboarding teams Q1 2026.
Same question, two approaches:
Every AI session, same story: "What's our API convention?" "Where's the auth spec?" "Why did we choose Postgres?" Your AI can search markdown files, query Notion, or fetch from Jira - but it takes multiple roundtrips and burns through tokens finding the right context.
NodeSpace: instant context, locally indexed.
Markdown, specs, architecture decisions - NodeSpace indexes them for instant semantic search.
Claude Code, Cursor, and other AI tools query NodeSpace directly via the MCP protocol.
Local queries instead of API roundtrips. Your AI gets the right context in milliseconds.
NodeSpace is a desktop app with built-in semantic search and an MCP server. No cloud account required.
NodeSpace runs locally. No per-request API calls, no token overhead for context lookup. Works offline, on planes, behind VPNs.
Ask "Where do we handle authentication?" and get the right files - even if they don't mention "auth" in the name. Semantic search, not keyword matching.
Drop-in integration via MCP protocol. Claude Code, Cursor, Continue - no switching editors or changing workflows.
Compatible with any AI provider - OpenAI, Anthropic, local models. NodeSpace provides the context, you choose the model.
Share your knowledge base across your product team. Everyone's AI stays informed, no manual syncing.
Define reusable workflows that execute automatically. Describe what you want, NodeSpace runs it on triggers you set.
Early access users help shape what we build next.
Join the waitlist - no commitment, no credit card