Causari vs Contextual

The first content-addressable ledger for AI agents. Every prompt, model, read, write and reasoning becomes an immutable causal event, captured at the wire, no agent...

A local-first AI context engine with semantic search, temporal recall, and on-device indexing.

About Causari

The first content-addressable ledger for AI agents. Every prompt, model, read, write and reasoning becomes an immutable causal event, captured at the wire, no agent cooperation required. Trace, bisect, revert and explain every line your agents wrote. re audit reads plain git history, detects AI-authored commits from verifiable metadata ( Co-Authored-By trailers, bot authors, aider markers) and measures how many of those lines are still alive at HEAD. Every number carries its evidence class: VERIFIED (explicit metadata) is never mixed with PROBABLE (heuristic).

About Contextual

A local-first AI context engine with semantic search, temporal recall, and on-device indexing. A context engine that runs entirely on your machine, indexed, queryable, and aware of how your repository changed over time. ▸ nexus_search (query="why did we switch the webhook signer to HMAC-SHA512?", intent="mixed") . Contextual is engineered around the smallest set of ideas that make a codebase searchable through time, on a single laptop, without sending anything out. Ask "what did this file mean last quarter?" and walk the answer backwards.