The company brain

Your company runs on
what a few people remember.

Lore reads everything your team writes across Slack, GitHub, Linear, Gmail, PagerDuty, and Notion, and emits executable SKILL.md files your AI agents load and act on. The brain stays current as the company learns.

See it run on a real ticket

Demo workspace, three Skills, real agent runs. No signup required beyond the demo password.

skills/refund-handling.md
v1.0.3auto
name:refund-handling
version:1.0.3
topic:Refund handling
sources:slack, github, linear
observations:12
updated:2h ago

When this Skill applies

A customer requests a refund or cancellation.

Decision criteria

Under $500: CSM approves directlyobs:a3f1c2
$500 to $5,000: Finance reviews same dayobs:b8d44e
Over $5,000: CFO approval requiredobs:c91f7a

Edge cases

Annual plans grandfathered through Q1 2025: full refund, no questionsobs:e4c8d1
4messages3PRs5issues
loaded by Claude Code via MCP
Incomingops@acme-logistics.com
Refund for two unused Pro seats

Hi team, we removed two Pro seats on May 8 and would like a prorated refund. Comes out to roughly $480. Account is on monthly billing. Thanks, David.

Agent reasoning
  1. 01Customer is Acme Logistics, requesting $480 prorated refund for unused seats.obs:a3f1c2
  2. 02$480 < $500 threshold. Routes to CSM-tier auto-approve.obs:a3f1c2
  3. 03No edge cases triggered (account is monthly, not annual).obs:e4c8d1
  4. 04Drafting a customer reply addressed to David.obs:a3f1c2
DecisionMaria Chen (CSM)csm tier
Drafted reply

Hi David, thanks for flagging this. We've approved the $480 prorated refund for the two unused Pro seats and it'll land back on your card within 3 business days. Let us know if anything else looks off. Maria, Northstar CSM

Reply to ops@acme-logistics.com (David). Awaiting Maria's approval before send.

Sent to Maria Chen (CSM) for approval
Refund for two unused Pro seats · 10:14 AM · awaiting approval
awaiting

Connects to the tools your team already lives in

The primitive

A company brain, not a search index.

The right way to tell Lore apart from search is to look at what it produces. Procedures, not links. Agents act on them.

What it is

Reads everywhere work happens

Slack, GitHub, Linear, Gmail, PagerDuty, Notion. The brain sees what your team writes, not what they remember to document.

Compiles work into playbooks

When the same decision happens three times, Lore writes it down as a SKILL.md file. Versioned. Cited back to the source. Loaded by agents via MCP.

Stays current automatically

New observations stream in, the playbook re-emits, the version bumps. The brain ages with the company instead of going stale in someone's Notion.

What it is not

Not a wiki

We don't store the docs you write. We read the work that's actually happening on top of them.

Not a company-wide search

Search returns links. Lore emits procedures an agent can execute, with every claim cited to a source observation.

The audit loop

Every run, logged.

When an agent loads a Skill or runs it on a ticket, the call lands here. Version, agent, outcome, duration. Failed runs flag the Skill for the next refresh.

Built to scale

The graph keeps everything. The file an agent loads stays small.

Hot sections by default, cold sections archived for audit, redundant observations distilled to canonical rules. As the company grows, the file an agent pays context for stays lean.

Connect your team.
See your brain emerge.

Ten design partner spots. Connect Slack, GitHub, Linear, and email; the first three Skills land in an afternoon.

Self-hosted availableRuns in your PostgresData never leaves your perimeter