Company memory for the agents that work with you.

Nodo Graph

Map decisions, processes, reviews, and tribal knowledge into a living graph agents can query.

AI Chatbot

Ask questions across company knowledge and get answers grounded in how your team actually works.

MCP

Give external agents structured access to company memory through a standard MCP endpoint.

Lore connects to the places your company already works.

A living map of how work actually happens. Nodo Graph turns scattered company context into connected, queryable structure. Every decision, process, and review keeps its relationships, so agents see the whole picture instead of fragments.

  • Decision rule
  • Process
  • Tribal knowledge
  • Risk
  • Convention
  • Ownership

Decision rules

What was decided, by whom, and why it stuck.

Processes

How work actually moves through your team, step by step.

Tribal knowledge

The unwritten context that lives in people's heads and old threads.

Risks

Known failure modes and the guardrails your team learned the hard way.

Conventions

The naming, formatting, and how-we-do-it-here standards everyone follows.

Ownership

Who owns which systems, decisions, and domains, so nothing falls through.

The AI layer that reads how your company works. The AI layer extracts decisions, processes, and operating rules from messy company data, then structures them so they stay useful long after the original thread is buried.

Lore
Lore

A living map of how this company works, turning scattered knowledge into trusted memory your team and agents can actually use.

Claude

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.

ChatGPT

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.

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Remote MCP server URL
OAuth client secret
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One standard interface for every agent. MCP lets agents access Lore's memory layer through a standard interface. Any client that speaks MCP, or plain REST, can query company context the moment it needs it.

The founders building the layer beneath your agents. One conviction: agents are only as useful as the context they can access. Powered by Calibr8AI.

Ahmadreza Azizi

Ahmadreza Azizi

Arsham Chabok

Arsham Chabok

Arman Fathabadi

Arman Fathabadi

Start small. Pay for memory, not seats. Lore starts with low-friction pilots and scales with connectors, live knowledge, and agent usage.

Personalized estimate

Price Lore around the sources you actually have.

Pick your sources, and Lore suggests realistic volumes from your team size. Adjust anything; the price follows live.

About a minute · no account

Estimate builder

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01 · Your team

How many people work at your company?

Company size picks the starting package and sizes everything else. A close guess is fine.

Starts on Team Memory · $500/month base

02 · Agent usage

How will agents lean on Lore?

Pick the closest description; the request volume is worked out from your team size.

10K context requests a month

03 · Knowledge sources

Where does your company knowledge live?

Turn on every system Lore should connect. Each one starts from sensible numbers you can adjust.

Activity
History to import

25 members · 5K messages/mo · 18 channels

Fine-tune exact numbers
How this estimate is calculated

The base package follows company size. Each package includes a connector, live-knowledge, monthly-flow, and agent-request allowance. Additional connectors are $75/month; knowledge and agent overages are added in fixed usage blocks. Source weights approximate relative processing and storage, not literal tokens.

Memory, kept.

For the agents that run your company.

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