Open source · Ontology AI · Reasoning As Code

AnythingGraph — the reasoning layer between agents and your databases.

Ontology AI for enterprise data — write ownership, relationships, and access rules once. Agents ask in plain English; AnythingGraph traverses live systems and returns answers you can audit. No data copy. No prompt stuffing.

Claude
Question

How it works

Four steps from live data to governed agent answers — no warehouse dump, no custom glue per model.

connect_sources

Connect live sources — data stays where it lives

explore_schemas

Explore schemas across your CRM, database, documents, ERP, and more

ontology_as_code

Let your AI agent draft the ontology playbook — you approve

use_in_ai_agents

Agents ask in plain English — get scoped, governed answers

Why AI developers love AnythingGraph

Anything Graph is the MCP layer between your AI agents and siloed enterprise data — secure access, context, and orchestration without moving a single record.

AI tools connect through Anything CLI to your existing business systems — without moving data.

Use your favorite AI agent

Claude, OpenAI, Cursor, and other AI tools connect in minutes — no custom setup for each model.

Connect your data without moving it

Salesforce, Postgres, MySQL, MongoDB, REST APIs, CSV files, and more. Answers come from your live systems — records never leave.

An Ontology layer that understands your business

Anything CLI sits between your agent and siloed systems — turning everyday questions into safe, accurate answers.

Lightweight, secure, scalable

Fast, secure, and built to scale — with access rules enforced on every answer.

Your rules, written once, with governance.

Describe your business once — who sees what — and Anything CLI maps it to your real systems.

Complete open source

Completely open source. One command to get started — fork it, extend it, run it your way.

Stop dump everything into the prompt

With governed queries over live systems — less spend, less rework, and answers you can explain.

10×

Lower token spend

Query only what the playbook needs — not millions of warehouse rows or document chunks in every prompt.

Minutes

Not months of integration

Install, map a playbook to your sources, and connect MCP. Skip the data-lake and ETL project before your first agent answer.

$0

Data copy cost

Records stay in Postgres, Salesforce, CSV, and APIs where they already live — no migration tax or sync pipeline to maintain.

~60%

Fewer bad answers

Early teams report cutting agent hallucinations when answers route through playbooks, bindings, and proof instead of guesswork.

Rules, many agents

Write access and vocabulary once in a playbook — reuse the same governed layer for Claude, Cursor, OpenAI, and other MCP clients.

Proof

On every reply

Source records and relationship paths come back with the answer — less audit friction and less time re-checking the agent by hand.

One-step setup

Install Anything CLI, set up your access rules, and connect your AI tool — done in minutes, not hours. No copying data, no heavy integration project.

Three steps and your agent speaks your business language — with the right people seeing the right data.

  • Install
  • Set up your access rules
  • Connect your AI tool

Step-by-step: explore Postgres + MongoDB and build a cross-source CRM playbook via MCP →

Connect where your data already lives

Anything CLI uses adapters to query systems in place — no copy step. These adapters ship today with the same playbook and binding model.

Adapter setup & profile reference →

Ready to connect your agent to live data?

Anything CLI is open source on GitHub. Install, connect your AI tool, and ask your first question — in minutes, not hours.

Open anything-cli on GitHub →