Nodo Graph
Map decisions, processes, reviews, and tribal knowledge into a living graph agents can query.
Company memory for the agents that work with you.
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.
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.
Reviews
Code and document reviews, kept with the reasoning behind every call.
Tribal Knowledge
The unwritten context that lives in people's heads and old threads.
Processes
How work actually moves through your team, step by step.
Decisions
What was decided, by whom, and why it stuck.
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.
Ask how things actually get done, like incidents, deploys, and rate limits, or click any node to focus the conversation there.
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.
Name
Remote MCP server URL
OAuth client secret
CancelAdd connector
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.
A small team building the layer beneath your agents. Three founders, one conviction: agents are only as useful as the context they can access. Powered and supported by Calibr8 AI and Snergy.
Start small. Pay for memory, not seats. No platform fees for the first 5 clients. Lore starts with low-friction pilots and scales with connectors, live knowledge, and agent usage.
One formula, three ways to grow.
A base subscription covers the memory layer. The price grows only when you connect more systems, keep more knowledge live, or have agents use it more.
Base platformConnectorsLive knowledgeAgent usage
Slack Pilot
1–10 people · one connector
$149/mo
Team Memory
10–50 people · core tools
$750/mo
Company Memory
50–250 people · company-wide
$3,000/mo
Enterprise Memory
250+ people · custom contract
$15,500/mo
Base platformConnectors + live knowledgeAgent usageEnterprise / custom
Illustrative composition — not final prices
01 · Start here
Slack Pilot
1–10 employees · Slack only
One team connects Slack and proves Lore makes its agents more useful. Low or waived onboarding, one connector included, basic agent-call allowance.
02 · Growing
Team Memory
10–50 employees · core tools
The first operational plan. A growing company connects several core tools and uses Lore across multiple workflows.
03 · Scaling
Company Memory
50–250 employees · company-wide
Lore becomes the default memory layer for internal agents, with stronger live-knowledge and agent-usage allowances.
04 · Custom
Enterprise Memory
250+ employees · complex
Custom contracts for security review, SSO, SLAs, private deployment, and dedicated support.
Give your agents the context they are missing.
Lore turns scattered company knowledge into a living memory layer any agent can use.
Prefer email? Reach us directly and we'll set it up personally.