Nodo Graph
Map decisions, processes, reviews, and tribal knowledge into a living graph agents can query.
Map decisions, processes, reviews, and tribal knowledge into a living graph agents can query.
Ask questions across company knowledge and get answers grounded in how your team actually works.
Give external agents structured access to company memory through a standard MCP endpoint.
What was decided, by whom, and why it stuck.
How work actually moves through your team, step by step.
The unwritten context that lives in people's heads and old threads.
Known failure modes and the guardrails your team learned the hard way.
The naming, formatting, and how-we-do-it-here standards everyone follows.
Who owns which systems, decisions, and domains, so nothing falls through.
A living map of how this company works, turning scattered knowledge into trusted memory your team and agents can actually use.
Anthropic's family of models. We can use Haiku, Sonnet, or Opus depending on the needs. Haiku handles fast, lightweight extraction, Sonnet handles balanced reasoning, and Opus handles the hardest, highest stakes context work.
OpenAI's models give Lore a strong general purpose option for understanding and generating language, used to parse messy company data and structure it into knowledge agents can reuse.
Add custom connector
Connect your agent to Lore over MCP.
Personalized estimate
Pick your sources, and Lore suggests realistic volumes from your team size. Adjust anything; the price follows live.
About a minute · no account
For the agents that run your company.
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