Less tokens. More meaning.
Graph driven documentation that reduces AI context by 70-90%. Built for developers and vibe coders.
30 days free, then 5€/month per seat
From docs to AI-optimized context in 3 steps
Transform your documentation into an intelligent knowledge graph that other devs and LLMs can use and gets smarter over time.
Import your docs
Auto-split, tag, and map dependencies
Upload your documentation → Graphito automatically divides into nodes by topic, generates semantic tags, and maps dependencies between docs.
Connect your tools
MCP integration with Claude/Cursor
One-click MCP integration with Claude, Cursor, and more. Your docs sync in real-time across all your AI tools.
Work with optimal context
60-90% fewer tokens loaded
When you ask a question, Orchestrator analyzes your query, selects only relevant nodes, and includes dependencies automatically.
What you get by using Graphito
context savings
context errors
faster content load
Built to work with your work buddy... Even if its AI
Use your preferred LLM provider, or providers. Everyone with access to Graphito will share the same context.
Use it with
Claude
Cursor
ChatGPT
Gemini
...or even GregSimple, transparent pricing
CLI integration via MCP
Synced documentation
Online dashboard management
Frequently asked questions
Bigger windows don't solve the core problem: models degrade as context grows. Even with 1M+ token windows, precision drops, costs rise, and latency increases. Graphito gives your AI structured, dependency-aware context — only the nodes that matter, with their relationships intact. Less noise, better answers, lower cost.
RAG retrieves chunks of text based on similarity — it doesn't understand how your docs relate to each other. Graphito builds a knowledge graph with semantic tags, dependency edges, and code-to-doc links. When you query a node, you get its dependencies too. It's not search — it's navigation.
RLMs are a promising technique for processing massive documents in a single session. They solve a different problem than Graphito — and they're actually complementary.
If your tool supports MCP (Model Context Protocol), it works with Graphito. That includes Claude, Cursor, ChatGPT, Gemini, and any MCP-compatible client. Your whole team shares the same context, regardless of which LLM each person uses.