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.
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Your knowledge changes every day.
Your AI memory doesn't.
Engineering teams move fast. Code gets refactored. Docs get updated. Decisions get made. But your AI tools are still working off last month's context.
Stale knowledge, confident answers
You paste a doc into your AI tool. It was accurate two weeks ago. The AI doesn't know it's outdated and gives you a wrong answer.
Context silos across tools
Each AI tool remembers something different. The real decision lives somewhere else. Your tools can't connect the dots.
Solutions disappear after the session
A senior dev solves a complex bug with AI assistance. The reasoning vanishes when the session ends. Three weeks later, someone re-solves the same problem from scratch.
Context maintenance becomes the job
You stop coding and start managing memory. Updating files. Pruning context. Restarting sessions. The workarounds take as much time as the actual work.
No way to trust or trace
You can't see where the AI got its answer, who approved it, or if it's still current. Without that visibility, AI-assisted work stays in development, not production.
Stop managing memory.
Start building.
Knowledge Plane is shared memory that updates itself, so your team stops re-explaining and your AI tools stop forgetting.
No more context maintenance
Your AI tools stay current automatically. No managing files, no pruning logs, no restarting sessions when they drift. Knowledge Plane handles the updates in the background.
Shared memory across your entire team
When one person solves a problem or makes a decision, everyone's AI tools know about it instantly. Solutions stick. Decisions compound.
Works with any AI tool or service
Built on open standards (MCP and HTTP API), Knowledge Plane connects to any AI agent out of the box. Via Skills, it integrates with any tool that has an API—your docs, repos, Slack, internal systems, anything.
See where every answer came from
Every piece of knowledge has a source, owner, and timestamp. You can trace exactly where the AI got its information and ship AI-assisted work to production with confidence.
Memory that stays fresh, not just retrieval
Connect anything
Link docs, repos, chats, and any tool with an API. Knowledge Plane extracts what matters and keeps it structured, not buried in files.
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.
Apply for
Beta Access
We're onboarding engineering teams in small batches to ensure quality. Apply now to be prioritized for the next cohort.