# Lore

> Run `/lore:share` inside any Claude Code or Cowork session (or `/share-codex` in Codex) and Lore turns the prompts, tool calls, and diffs into a URL your team can read. Free workspace plan.

Lore is infrastructure for working with coding-agent threads, built by Tanagram, Inc. (Dover, Delaware, USA — founders@lore.link). A CLI (`@loredotlink/cli`, invoked as `lore`) uploads and reads threads, the web app at https://lore.link makes them browsable and searchable across a workspace, and a hosted MCP server (https://mcp.lore.link/mcp) gives agents the same access. New shares follow the user's **Share new threads with my workspace** setting, which is on by default: threads start at workspace visibility for workspace members and private visibility otherwise; public visibility is opt-in. Pricing: Free ($0), Team ($20 / seat / month), Enterprise (Custom). For the complete docs and product context in one fetch, read https://lore.link/llms-full.txt.

## Docs

- [Docs index](https://lore.link/docs): documentation home
- [Introduction](https://lore.link/docs/overview): what Lore is, the problem it solves, and how it works
- [Using Lore](https://lore.link/docs/using-lore): sharing threads, visibility modes, and workspaces
- [Using Workbench](https://lore.link/docs/using-workbench): the desktop agent: sessions, skills, attachments, sources, artifacts, forking, connectors

## Pages

- [Homepage](https://lore.link/): product overview and quickstart
- [Pricing](https://lore.link/pricing): Free ($0), Team ($20 / seat / month), Enterprise (Custom)
- [Lore for Teams](https://lore.link/teams): team knowledge-sharing use cases
- [Thread Sharing](https://lore.link/share): how shared threads work
- [Desktop](https://lore.link/desktop): the macOS app
- [Blog](https://lore.link/blog): articles on AI-assisted engineering
- [Integrations](https://lore.link/integrations): supported coding agents
- [Contact](https://lore.link/contact): contact form (or email founders@lore.link)
- [Privacy Policy](https://lore.link/privacy): how thread data is handled
- [Terms of Service](https://lore.link/terms): terms of service

## Integrations

- [Lore for Claude Code](https://lore.link/integrations/claude-code): share with /lore:share
- [Lore for Codex](https://lore.link/integrations/codex): share with /share-codex
- [Lore for Cowork](https://lore.link/integrations/cowork): share with /lore:share

## Reference reading

- [How we built /share](https://lore.link/blog/how-we-built-share): by Feifan Zhou
- [Lore Changelog #008](https://lore.link/blog/introducing-the-workbench): by Matthew Molinar
- [ClaudeMaxxing to 100%: the code, the content, the research, the ops](https://lore.link/blog/claude-maxxing): by Kaia Colban
- [Lore Changelog #007](https://lore.link/blog/introducing-lore-studio): by Matthew Molinar
- [What shipped in Lore this week](https://lore.link/blog/decisions-skill-sharing-and-faster-search): by Matthew Molinar
- [How a 3,000-person company got 95% of its employees using AI](https://lore.link/blog/how-a-3000-person-company-got-95-percent-using-ai): by Kaia Colban
- [How I built AI memory (and accidentally built two)](https://lore.link/blog/how-i-built-ai-memory): by Kaia Colban
- [Workslop is a context problem, not an AI problem](https://lore.link/blog/workslop-context-problem): by Kaia Colban
- [Lore Updates #0006](https://lore.link/blog/skill-publishing-multiplayer-threads-and-first-class-artifacts): by Matthew Molinar
- [How Cowork Implements Skills](https://lore.link/blog/how-cowork-implements-skills): by Feifan Zhou
- [Stuff nobody tells you about Claude skills](https://lore.link/blog/stuff-nobody-tells-you-about-claude-skills): by Kaia Colban
- [What I learned sharing a Claude skill with my team](https://lore.link/blog/sharing-a-claude-skill-with-my-team): by Kaia Colban
- [Lore Changelog #0005](https://lore.link/blog/smoother-sync-skills-and-desktop-stability): by Matthew Molinar
- [Lore vs. Claudebin: sharing a Claude Code session as a URL](https://lore.link/blog/lore-vs-claudebin): by Paulina Laba
- [Lore Changelog #0004](https://lore.link/blog/lore-mac-app-and-lore-link): by Matthew Molinar
- [AI made you faster. It made your team slower.](https://lore.link/blog/ai-made-you-faster-team-slower): by Kaia Colban
- [Lore Changelog #0003](https://lore.link/blog/conversational-threads-streaming-answers-and-a-faster-app): by Matthew Molinar
- [Your Team Is in Claude All Day. Where Does That Thinking Go?](https://lore.link/blog/where-does-your-teams-claude-thinking-go): by Kaia Colban
- [AI engineering knowledge management: a guide for 2026](https://lore.link/blog/ai-engineering-knowledge-management-guide): by Paulina Laba
- [The reasoning behind your code exists. Your team just can't find it.](https://lore.link/blog/ai-generated-code-reasoning-findable): by Kaia Colban
- [The best ways to share a Claude Code session (2026)](https://lore.link/blog/best-ways-to-share-a-claude-code-session): by Paulina Laba
- [How to fork a Claude Code or Codex session](https://lore.link/blog/fork-claude-code-codex-session): by Paulina Laba
- [How to onboard engineers in the AI era](https://lore.link/blog/how-to-onboard-engineers-in-the-ai-era): by Paulina Laba
- [Lore vs. Braintrust: what each does and when to use which](https://lore.link/blog/lore-vs-braintrust): by Paulina Laba
- [Lore vs. LangSmith: what each does and when to use which](https://lore.link/blog/lore-vs-langsmith): by Paulina Laba
- [Lore vs. ShareGPT: sharing AI chats vs. sharing coding sessions](https://lore.link/blog/lore-vs-sharegpt): by Paulina Laba
- [How to save your favorite prompts from Claude Code and Codex](https://lore.link/blog/save-favorite-prompts-claude-code): by Paulina Laba
- [Lore Changelog #0002](https://lore.link/blog/ask-lore-smarter-sharing-and-plugin-skills): by Feifan Zhou
- [I Gave Up Solo Building to Join Tanagram.](https://lore.link/blog/solo-building-to-tanagram): by Kaia Colban
- ['AI teams merge 98% more PRs.' What that's doing to your code.](https://lore.link/blog/ai-pr-velocity-quality-tradeoff): by Kaia Colban
- [Lore Changelog #0001](https://lore.link/blog/regions-upload-filters-and-direct-thread-links): by Feifan Zhou
- [Prompt tracking vs. AI session sharing: what to use when](https://lore.link/blog/prompt-tracking-vs-ai-session-sharing): by Paulina Laba
- [AI made me a faster engineer. It didn't make us a better team.](https://lore.link/blog/ai-faster-engineer-not-better-team): by Kaia Colban
- [Managing Tribal Knowledge for Engineers: A Practical Guide](https://lore.link/blog/managing-tribal-knowledge-for-engineers-a-practical-guide): by Kaia Colban

## Machine-readable resources

- [Machine-readable pricing](https://lore.link/pricing.md): parseable markdown for AI agents
- [XML sitemap](https://lore.link/sitemap.xml): every indexable page
- [MCP server](https://mcp.lore.link/mcp): streamable-HTTP Model Context Protocol endpoint
- [OpenAPI specification](https://lore.link/openapi.json): public REST API
- [llms-full.txt](https://lore.link/llms-full.txt): this index plus product context and the complete docs inlined