Shared Memory for
Engineering Teams
Knowledge Plane turns your team's code, docs, and chats into one source of truth, automatically kept up to date, structured, and auditable across your existing tools.
Built for
Featured on
Memory isn’t useful
until it’s shared.
Personal memory tools help individuals. Teams need an org-wide memory plane that survives sessions, roles, and tools.
The Problem:
fragmented memory
Claude, Cursor, ChatGPT, Perplexity—each one becomes a separate brain. Product decisions live in one place, technical solutions in another, and onboarding becomes archaeology.
Ephemeral Solving
When a senior dev resolves a complex issue in an AI-assisted IDE, the reasoning disappears after the session—so the team re-solves it later.
Context Exhaustion
Teams paste massive docs into chat tools. The model skims, misses critical details, and outputs confident-but-wrong answers.
A memory layer with skills, not just retrieval
Ingest anything
Connect your existing sources—docs, chats, repos. KnowledgePlane doesn't store piles of files; it extracts what matters.
- Docs + PDFs + transcripts
- GitHub + tickets + wikis
- Every tool stays in sync
Skills keep memory fresh
Most AI is "lazy"—it only knows what you tell it right now. Skills are scheduled jobs that fetch, refresh, and reconcile reality.
- Autonomous refresh (hourly/daily)
- Detect drift + update facts
- No more manual re-uploads
Turn files into knowledge cards
Files stop working at scale. KnowledgePlane converts messy docs into atomic facts and high-density knowledge cards—so agents don't skim.
- Atomic facts (no huge context pastes)
- Cards preserve the "big picture"
- Higher accuracy under tight windows
Graph memory understands relationships
Vector search matches similar words. Graph logic captures why things are connected—dependencies, owners, decisions, and timelines.
- Typed edges (depends_on, decided_by)
- Hybrid retrieval (vector + graph)
- Better reasoning, fewer misses
Governance you can trust
In teams, "the AI said so" isn't enough. Every fact can be traced back to a source and scoped to the right workspace.
- Workspace isolation
- Audit trails (who/when/source)
- Secure access for agents
Structured Intelligence,
Not Just Storage
Unlike simple vector stores, Knowledge Plane combines Graph capabilities (relationships) with Vector Embeddings (semantics). Your agents don't just find keywords—they understand dependencies.
1. Ingest
Drop PDFs, connect Google Drive, or sync GitHub repos. The system automatically extracts raw facts and cleans the data.
2. Structure
Hybrid Engine (Graph + Vector) models relationships. Service A → depends_on → Service B
3. Serve via MCP
Authorized agents (Claude, Cursor) query the plane via standard MCP protocol. No custom integrations needed.
{
"mcpServers": {
"knowledge-plane": {
"command": "npx",
"args": [
"-y",
"@knowledge-plane/server",
"--api-key",
"kp_live_..."
],
"env": {
"TEAM_ID": "engineering-core"
}
}
}
}A Shared Brain for
Intelligent Agents
Knowledge Plane fills the infrastructure gap, transforming amnesic chatbots into autonomous agents with long-term memory.
A shared memory layer that persists beyond individual sessions. Agents can read/write to a central brain.
When one developer explains a concept to an agent, the entire team's agents get smarter instantly.
Built on the Model Context Protocol. Plugs into Claude Desktop, Cursor, and VS Code out of the box.
Combines semantic search with relationship modeling. Understands 'Service A depends on Service B' logically.
Automatically scans docs and codebases to build knowledge cards. Self-organizing structure.
Self-hosted option keeps your proprietary context within your infrastructure. Full audit logs.
Frequently Asked Questions
Common questions about Knowledge Plane and how it works.
No. Most RAG tools dump documents into a vector store and hope semantic search is enough. Knowledge Plane combines graph memory (typed relationships like 'Service A depends on Service B') with vector embeddings. This means your agents can reason about dependencies, ownership, and timelines—not just match keywords.
Graph memory stores knowledge as a network of connected facts rather than isolated chunks. Each fact has typed relationships (depends_on, decided_by, owned_by) linking it to other facts. This lets AI agents traverse connections and understand context the way a senior team member would—following the chain of decisions, not just finding similar text.
Skills are scheduled jobs that automatically fetch, reconcile, and update your knowledge base. Instead of manually re-uploading docs when things change, skills detect drift between your sources and the stored knowledge, then update facts accordingly. Think of them as background workers that keep your AI's memory current.
Both. You can use our managed cloud deployment for fast setup, or deploy Knowledge Plane within your own infrastructure for full data sovereignty. Early access includes support for both models—choose whatever fits your security and compliance requirements.
Knowledge Plane extracts atomic facts and relationships from your sources—it doesn't store raw copies of your files. The original documents stay where they are (Google Drive, GitHub, etc.). What's stored are structured knowledge cards, facts, and the graph of relationships between them, with citations back to the source.
Knowledge Plane uses workspace isolation to separate team knowledge. Every query, write, and update is logged with who did it, when, and from which source. Agents authenticate via API keys scoped to specific workspaces, so you control exactly what each agent can access.
Pricing will be announced when we exit early access. Right now we're focused on getting the product right with our first cohort of teams. Early access participants will be the first to know about pricing and will have input into how plans are structured.
Sign up with your work email using the form on this page. We review applications and onboard teams in batches to ensure quality. Early sign-ups are prioritized. Once approved, our team will reach out to schedule your guided onboarding session.
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Get Early Access
We're onboarding teams carefully to ensure quality. Join now to secure your spot in the first batch with dedicated setup support.
We're onboarding teams in batches to ensure quality. Early sign-ups are prioritized for the next batch with dedicated setup support.