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Show HN: Causari – Content-addressable ledger for AI agent code edits

Causari is a content-addressable ledger that tracks the intent and causality behind AI agent code edits. It captures every prompt, model, read, write, and reasoning as immutable causal events, enabling query, replay, and verification, solving provenance and debugging challenges for AI-generated code.

SourceHacker News AIAuthor: CroviaTrust
Show HN: Causari – Content-addressable ledger for AI agent code edits
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Causari is the first content-addressable ledger for AI agents, recording the full causal chain of each edit.
  • Captures events without agent cooperation via a proxy and filesystem watcher.
  • Supports skill distillation, signature verification, and MCP integration for reusable experience.
  • Offers causal graphs, time-travel debugging, and guard rules to enhance codebase auditability.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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