Institutional memory,
finally queryable.
Archon builds a continuously-refreshed graph of the people, documents, systems, entities and decisions that define your business — so every agent reasons with the same context a senior employee would bring.
The most valuable knowledge in any enterprise isn’t in the database; it’s in the connections — who owns this contract, which vendor depends on which policy, what decision preceded last quarter’s pivot. Archon’s Knowledge Graph extracts those relationships from your documents, data, workflows and agents, and keeps them fresh as the business moves. Your AI finally behaves like a colleague who has been there for a decade.
What it is, in plain terms.
Living organizational memory
Entities, relationships and context refreshed continuously as new documents, workflows and decisions land in the platform.
Cross-domain relationships
Connect a contract to the vendor, the SKU, the policy, the account owner and the workflow that approved it — in one traversal.
Grounded agent reasoning
Agents don’t guess what relates to what. They query the graph. Answers come back with citations and paths, not just prose.
Context every agent can share
Every Crucible-forged app and every registered agent draws from the same graph — one source of organizational truth.
What changes for the business.
New agents, new apps and new employees land on a graph that already understands your business. Onboarding stops being a slideshow.
When an agent asserts a relationship, it can show you the path it walked. Answers come back with receipts.
Questions that used to take a war room — who signed, who owns, who depends — become a one-hop query.
Enterprise-grade by default.
Automatic entity extraction
Documents, workflows, messages and transactions are mined continuously for entities and relationships — no manual curation.
Temporal reasoning
The graph remembers when a relationship was true. Ask “who was accountable in Q1?” and get the right answer for the right quarter.
ACL-aware traversal
Even the graph respects identity. Nodes and edges you aren’t allowed to see simply don’t appear in your query results.
Vector + graph hybrid
Semantic similarity plus graph topology — the best of both worlds for retrieval-augmented reasoning.
Signed provenance
Every edge has a source: the document, the workflow, the agent. Every claim is defensible, not folklore.
Native MCP access
Agents query the graph through MCP tools — no bespoke SDK, no custom protocol, no lock-in.
The inversion only works if AI knows the business.
Letting AI do the work requires AI to understand the work. That means understanding relationships — not just rows.
Archon’s Knowledge Graph is how the platform builds the equivalent of your most experienced employee’s mental model, then lets every agent and every Crucible-forged app share it. The result is AI that asks smart questions, grounds answers in context, and preserves institutional knowledge even as people move on.
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