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Context compaction stopped being a summary and became a checklist. fast-jev-compaction pairs every…

Yethikrishna ROriginal on Threads

context compaction stopped being a summary and became a checklist. fast-jev-compaction pairs every tool call with its result and lets jev vote keep or keep-verbatim, so file paths, exact errors and failed attempts survive instead of being rewritten away (sept 20).

what an agent forgets is now a decision, not a rewrite.

Context

The reference doc for the pi-fast-jev-compaction 0.2.0 extension says every tool call is matched with its result by id, Jev answers questions per call and result, and a threshold with a default of 0.5 decides keep, truncate or drop; it says Jev compaction never rewrites text and falls back to pi's default summary when Jev fails or would free too little. TypeSafe's page says that instead of asking a model to summarize history you ask Jev a yes/no question about each old item, at roughly 70 to 500 ms per decision. A ClaudeWorkshop article dated 22 September 2026, which the site labels as AI-assisted drafting and not a hands-on test, describes a Claude Code plugin by tamaratran.

How it compares

The docs describe keep, truncate or drop with a confidence threshold, not a two-way vote of keep or keep-verbatim. Original messages and kept tool results stay verbatim while dropped or truncated outputs are removed, so failed attempts survive only if Jev judges them relevant, and no recall measurement was read. The Sept 20 release date is unverified: the dated sources read are 22 September or undated docs. No benchmark or user test of task success was found. The pruning approach differs from the default summary path, which is model-written and lossy by design. The plugin depends on Jev, a hosted early-access model. What an agent forgets is now a decision is the author's thesis.

Related work

Watch next

  • Published task-success comparisons against summary compaction and Jev's availability and pricing.

Sources

  1. How it works (pi-fast-jev-compaction 0.2.0)cdn.jsdelivr.net
  2. Jev compaction (TypeSafe)jevtypesafeai.com
  3. Fast Jev compaction replaces summaries with verbatim context (ClaudeWorkshop)claudeworkshop.com

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 20 September 2026 at 11:08 IST. Sources are the papers and datasets the note draws on.

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