Institutional Memory for AI

Institutional memory
your AI can use.

Institutional memory for AI federates live operational systems into a queryable graph with cited synthesis — so agents use current truth, not stale wiki articles alone.

Wikis and SharePoint store articles — not live operational truth. Gyri federates CRM, comms, and docs into a graph with cited synthesis and agents that preserve what teams learn.

Related: When employees leave · Gyri vs Glean

The problem

Why typical alternatives
fall short.

01

Static KBs go stale

Wiki pages lag CRM and email by weeks. AI trained on stale docs gives confident wrong answers.

02

Tribal knowledge in heads

When people leave, context walks out. Static archives miss the Slack thread where the decision happened.

03

Search ≠ synthesis

Workplace search finds files. It does not answer "why did we lose this deal?" across five systems.

Why Gyri

Four capabilities
most lack.

Federated GTM stack

One query across your stack

CRM, email, Slack, and docs federated into a workspace graph — not doc-only search or single-app plugins.

Cited AI answers

Synthesis you can audit

Claim-level citations with links to source records — trace any answer back to source. Verify before customer-facing or legal use.

Context that compounds

Memory that persists

Typed insights in a knowledge graph accumulate across agents and quarters — not session resets.

MCP write-back

Agents that close the loop

Claude, Cursor, and internal agents search, synthesize, and write insights back to CRM and workflows.

Compare

Gyri vs typical
alternatives.

CapabilityGyriWikis / SharePointWorkplace search
Live operational federation⚠️
Multihop cross-source queries
Cited synthesis for audits
Insight capture on exit / handoff⚠️
MCP agents + write-back

Named comparisons: Gyri vs Glean · Gyri vs Notion AI

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Use cases

Built for
GTM operators.

Employee transitions

New hires query years of deal and project context — federated from systems, not onboarding docs alone.

Executive briefs

Operating narratives pull from connected CRM, email, and support — with citations you can audit before sharing.

Post-mortem capture

Incident and deal post-mortems persist as structured insights linked to entities.

Gyri think verbs

Agents that remember
what they conclude.

Gyri think verbs turn federated search into a research lifecycle — recall prior insights, ground in live CRM, reflect drafts, promote cited conclusions that compound across Claude, Cursor, and stored agents.

think verb=recall

Semantic orient — load prior cited conclusions before you re-derive from scratch.

think verb=ground

FTS-only orient on live federated CRM, email, and Slack — zero embed cost.

think verb=consider

Classify novelty against the workspace corpus before you commit a thesis.

think verb=reflect

Capture drafts, tensions, and questions as typed thoughts on the graph.

think verb=traverse

Multihop GraphQL in one think call — deal → contact → email → ticket.

think verb=fetch

Hydrate full rows by ref when search or traverse surfaced the right node.

Thought verbs deep dive · Claude + Gyri · Cursor + Gyri

Turn institutional knowledge into living AI memory.

Free trial — federate your stack and preserve what teams learn.

Frequently asked questions

How is Gyri different from a company wiki?

Wikis store authored articles. Gyri federates CRM, email, Slack, and docs for multihop cited synthesis and agent write-back on operational truth.

Can Gyri preserve knowledge when people leave?

Yes. Insights, deal narratives, and cited research persist in the workspace graph — available to new hires and agents without rebuilding context.

Does Gyri replace SharePoint search?

Gyri complements document stores by joining files with CRM records, threads, and tickets for GTM intelligence workflows.