Evidence, connected.

AI coding moves faster than your agent can follow.

Dorsal shows your agent what thousands of other builders just shipped, fixed, and learned.

Dorsal audit with an optional scope.

Public sources include · updated daily

  • GitHub
  • Anthropic
  • OpenAI
  • Google AI
  • Cursor
  • Hugging Face
  • Reddit
  • Discord
  • YouTube
  • X
  • Hacker News
  • arXiv

Claude Code review with web search compared with Dorsal verification

Before

Claude Code + web search

Hours5.4M tokens21 recommendations

After

Claude Code + Dorsal

MinutesAll 21 checked7 invalidated

Claude Code confirmed Dorsal was correct and retracted its 7 prior findings.

Claude Code proposed: Add hooks, then delete the prose rules they replace.

Dorsal correction: Keep the prose rules until subagent hooks are verified.

Bash / zsh · Connect via MCP
claude mcp add --transport http --scope user --header "Authorization: Bearer dor_a_<generated-when-copied>" dorsal https://godorsal.com/api/dorsal
Claude Code · Run this
dorsal audit
Read-only. Your data stays local.

Better answers in minutes, not hours

Your agent queries Dorsal’s in-memory graph, updated daily.

Tracks what changed

A release shipped, a bug surfaced, a fix worked, a decision changed. Each record is dated and linked to its source.

Links cause and effect

Products, problems, methods, and outcomes are connected, so your agent can follow what happened and why.

No LLM in the middle

Dorsal returns evidence deterministically. Your coding agent does the judging, using your project context.

Inspect the data

Open data page

131,257

GitHub releases, PRs, issues, and more

83,019

Official Docs

91,972

abstracts from Reddit, Discord, YouTube, X, arXiv, Hacker News, and more

Check the next decision before you build it.

Read-only. Your code and history stay local.