Decisions get made and forgotten. Research gets duplicated. Context lives in the heads of people who leave. Memory Stack gives your organization a shared, governed memory layer — so your AI tools finally know what your team knows.
Your team already uses AI every day. But context lives in individual chat sessions, leaves with employees, and gets re-researched from scratch every quarter. Worse: without controls, AI tools can leak what they know about one person to another.
When an engineer or PM leaves, everything they knew about your systems, decisions, and trade-offs goes with them. There's no institutional record — just tribal knowledge that evaporates.
Two engineers scope the same architecture decision. Two PMs research the same competitor. No one checks what was already decided because there's no shared place to check.
Your company's context is scattered across Claude, ChatGPT, and a dozen other tools. There's no audit trail, no admin view, no way to know what information is circulating — or leaking.
When two people are working on the same problem, Memory Stack surfaces the overlap automatically — before the duplicate work happens. A decision you made in one project reaches the person who needs it in another. No copy-pasting. No re-explaining. No Monday standup where someone says "wait, we already did this."
Memory Stack is not an Anthropic product or an OpenAI product. It's a platform. Your team doesn't change their tools — Memory Stack adds a shared memory layer underneath all of them.
Most AI context injection is a full dump — everything that might be relevant, concatenated into the prompt. Memory Stack deduplicates, distills, and precision-retrieves — so each AI call gets only the 3–5 most relevant memories. Same signal. Far fewer tokens. AI API bills that go down as your team scales up.
No training sessions. No migration project. Your team uses the AI tools they're already in — Memory Stack builds the shared layer underneath.
Org admins add Memory Stack to Claude Desktop, Cursor, or any MCP-compatible tool in minutes. No new infrastructure. No new UI to learn.
Decisions, research, lessons. Each person logs to their own private layer — what they share moves to the org layer automatically, with PII scrubbed.
Memory Stack starts detecting overlaps and cross-project context. Admins see the org-wide picture. Every AI call gets smarter context. Costs go down.
These aren't roadmap items. They're already built. The features that show up in vendor questionnaires, procurement reviews, and IT sign-off conversations are live in the API today.
Bring your team's existing knowledge base on day one. No cold start — your institutional memory is live from the first session.
Bring your own Anthropic, OpenAI, or Voyage keys. Your LLM spend stays in your accounts — we never see your tokens or your bill.
Every read, write, share, and delete — logged with actor and timestamp. Queryable. Exportable. 90-day retention as standard.
Remove a departing employee's access in one action. Their contributed org memories are retained. Nothing leaks out; nothing gets lost.
Per-user and per-project memory activity. Know who's building context, which projects are most active, and where memory is underused.
Trigger workflows on memory events. Pipe context into Slack, Jira, or any internal tool. Saved searches surface standing context automatically.
Start free. No migration project. No training sessions. Add Memory Stack to the AI tools your team already uses this week.