Manifesto
We believe engineering teams deserve more than AI agents that guess.
The shift to AI-powered engineering is here, but there is a missing piece. Your AI agents like Claude Code and Cursor understand your code but have no idea how you ship it. We built Lore to autonomously watch your systems and generate the operational knowledge that gives both humans and agents a handrail.
AI agents are flying blind without operational context.
Current AI tools understand your code, but they don't understand your systems. They don't know your deployment quirks, your infrastructure dependencies, or how your team actually works. Lore fixes that gap.
Knowledge should be captured, not written.
Engineers shouldn't have to stop and write documentation. The best context is distilled automatically from the real work already happening in your git repos, CI pipelines, and team conversations.
Agents and humans need the same source of truth.
Institutional memory shouldn't be trapped in Slack threads or outdated wikis. Whether it's a senior engineer or an AI agent, they both need the same high-fidelity context to act safely inside your systems.
Operational knowledge is the handrail for AI adoption.
Companies want to adopt AI agents but fear the risks. By capturing every workflow and dependency, Lore provides the safety layer that lets agents work with your system instead of against it.
This is why Lore exists. Not just another wiki. Lore is the knowledge layer for AI-powered engineering teams, capturing operational context as it happens so your agents can act with confidence.