Connect your business tools once. Any AI - Claude, ChatGPT, Cursor, your own agents - gets the same graph-backed memory. Continuous context across every session, every employee, every LLM.
Deterministic extraction, reproducible on public datasets, $0 per run. Every number here is a real F1 on a real benchmark.
Entity resolution across 6 public datasets. Hybrid deterministic + graph pipeline. Reproducible on public data, $0 per run.
Beats the fine-tuned neural SOTA baseline (0.869) on the hardest Magellan pair. Deterministic, no training required.
Our open business line-item matching benchmark. Category-defining for structured B2B reconciliation.
20+ native connectors across every major business category. Anything else: your AI defines it on the fly. Claude, Cursor, or ChatGPT calls our MCP tools to wire up a collector against the system's REST or GraphQL API in the same session.
These are just a few. 20+ native connectors across every major category. Unlimited custom APIs via BYOC credentials. Every new connector is built once, available to all users after.
Or skip integrations entirely. Send data straight to your graph via our Ingest API - one POST request and it is in your knowledge graph. Works with any system, any webhook, any automation.
The AI we're talking about is YOUR AI. Claude, ChatGPT, Cursor, your own agent, any MCP client. Graphory gives it the tools to shape the graph around the work you actually do.
At the start of every session, your AI can pull the graph for context - the people, companies, and activities it needs to answer well. Nothing is guessed from memory. Every response is grounded in what your business actually produced.
When your AI learns something in a session - a new contact, a decision, a context shift - it writes that note straight back into the graph. Auto-linked to every entity mentioned. Queryable forever. The next session, with a different AI or a different teammate, starts with that context already loaded.
“Connecting your notes to the rest of the entire graph so they're actually useful.”
Every markdown file your AI would otherwise save to disk has a home - connected to every other part of the business it mentions, instead of stranded in a folder nobody opens.
With the whole graph in reach, your AI can run the kinds of workflows that a single inbox or CRM cannot:
You and your AI decide what to pull in: which data sources, how often they refresh, what to push through n8n or Zapier, what custom APIs to wire up. The core schema stays fixed - so the graph looks and behaves the same across every industry, every team, every AI that connects to it.
A business knowledge graph connects all your data - emails, invoices, contacts, deals, tasks - into a network of relationships. Instead of searching through separate tools, you query one graph that understands how everything relates.
Graphory builds this graph automatically from your existing business tools. Every entity, relationship, and timestamp is extracted by deterministic code - zero LLM in the pipeline - so your data is structured, auditable, and reproducible. Connect your sources and the graph builds itself.
Graphory is the memory layer. Your AI is the reasoning layer. Connect anything that speaks MCP, or call the REST API directly.
Any MCP-compatible client. REST API for custom agents.
Same platform. Different graphs.
The core schema stays fixed. What lives inside it shifts entirely with the business. Here's how three very different operations use the same platform.
Authenticate with OAuth or paste API keys. BYOC model means you control every credential. 20+ native connectors, plus unlimited custom APIs.
Entities, relationships, and temporal metadata are extracted automatically by deterministic code - no LLM in the pipeline. Need a tool we don't ship natively? Your AI does the work: Claude, Cursor, or ChatGPT calls our MCP tools to define a new collector with a REST or GraphQL config, credentials stay in your WorkOS Vault, no human review queue in the way.
Connect Claude Desktop, ChatGPT, or your own AI agents via our API. Ask questions in natural language. Or explore visually with the built-in 3D graph explorer.
Automated connectors collect what your systems know. Your team teaches it everything else. The result is an institutional memory no software has ever been able to build before.
When your AI gets something wrong, just tell it. "Karen is my sister, not a customer." Your agent pushes that correction through the API - authority-weighted, tracked, instantly live. The graph self-heals through use.
Have years of data in spreadsheets, old emails, or systems you cannot connect? Upload them. Your agent reads the documents, finds those entities in your graph, and corrects entire sections automatically. One file can update hundreds of relationships.
Not all corrections carry the same weight. User corrections outweigh automated data collection. Admin-level corrections outweigh standard user corrections. Conflicts resolve by authority weight, not recency - and the system is architected to support full org-role hierarchy as your team scales.
Every edge carries source, confidence, and authority. User corrections override AI inference. Nothing is silently overwritten. That chain of custody is not available in any CRM, BI tool, or knowledge base on the market - not Salesforce, not Notion, not Glean, not any AI memory product.
The accuracy of your graph is the accuracy of your business. Graphory collects what your systems produce. Your team - and your AI agent - correct what they know. Old data trapped in files gets reconciled. Over time, your graph becomes the most accurate record of your business that has ever existed. And it compounds.
“Vectors retrieve similar. Graphs answer structured questions. Provenance on every edge, deterministic recall, no hallucinated relationships.”
Everything you need to turn siloed business data into connected intelligence.
20+ native connectors plus unlimited custom APIs. Your OAuth app, your tokens - we store them encrypted in your WorkOS Vault. Paste credentials directly, or have your own AI (Claude, Cursor, ChatGPT) call our MCP tools to set them up.
Push data from any system via our webhook endpoint. If it produces data, Graphory can ingest it.
Visualize your entire business network in an interactive 3D graph. Explore relationships, drill into entities, spot patterns.
Run multiple businesses from one account. Per-org graph isolation keeps data clean and queries focused.
Invite team members, manage roles, share graph access. Enterprise-grade identity and access control built in.
Upload PDFs, DOCX, XLSX, and images. Datalab-powered accurate mode extracts invoices, contracts, and statements into your graph. B2 cloud backup for all documents.
Connect any AI agent - Claude, ChatGPT, or your own - directly to your knowledge graph via a full REST API. Search, traverse, and query across all your data.
Zero LLM in the data pipeline. Pure code-based extraction means reproducible results, no hallucinated edges, and full auditability. Your data is structured, not summarized.
No limits on connections, entities, or API calls. Only graph size scales with your plan.
For individuals getting started
100K nodes
Automated nightly AI-verified corrections on Graphory's infrastructure
500K nodes
For teams scaling past the Pro node cap
2M nodes
For large organizations
Unlimited nodes
The Graphory Python SDK wires your graph into any agent framework. CLI login, MCP auto-config, REST client in one package.
Read the API reference→Give it the full context of your business. Connect your tools, build your graph, query with any AI. Free up to 100K nodes.
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