CtxSift
Save tokens and extend your coding sessions.
What it does
In agentic workflows, raw command outputs and state recollection after compaction contribute to major token waste. Agents often pull raw terminal output into context even when they only need a few anchors, then pay the same cost again later when compaction forces them to reread files or rerun commands. CtxSift was built to cut that loop down to two operations: keep only the signal that matters now, then recover it later without rebuilding the whole state trail.
Does a similar job
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ctx – Search the coding agent history already on your machineJul 2026 · github.com · ▲65Coding agents don't have long-term memory. But you do have months of full-fidelity agent transcripts stored on your machine. A simple solution that goes a long way: ingest those transcripts and logs into a structured SQLite database, then search them with ranked text match. Everything is fully local and doesn't require anything fancy like a graph database or hosted memory service. This is the idea behind ctx, a Rust CLI that handles the ingestion and searching. We give our agents a skill that tells them to reference past sessions before working in an area. Usually we do this through an…
- CACtx – a /resume that works across Claude Code and CodexApr 2026 · github.com · ▲72
ctx is a local SQLite-backed skill for Claude Code and Codex that stores context as a persistent workstream that can be continued across agent sessions. Each workstream can contain multiple sessions, notes, decisions, todos, and resume packs. It essentially functions as a /resume that can work across coding agents. Here is a video of how it works: https://www.loom.com/share/5e558204885e4264a34d2cf6bd488117 I initially built ctx because I wanted to try a workstream that I started on Claude and continue it from Codex. Since then, I’ve added a few quality of life…
Ctx, save tokens by loading only the relevant toolsJun 2026 · github.com · ▲8Hi HN! Token cost has started to become a high topic of concern to all of us. I tried a few (awesome) tools such as rtk, caveman, and the recent (hillarious but effective) ponytail. What they usually do, is in-line token reduction, e.g. try to compress requests / responses as much as possible. But then it hit me (and I’m sure others had similar ideas) - just like we have routers that pick the right model, why not have something that will also narrow down the amount of available tools, skills and mcps based on repo/context? People usually accumulate skills, agents, MCP servers,…
Compactdiff – see what compaction dropped from an agent session30d ago · github.com · ▲6Snapshot, diff, replay and branch AI coding-agent sessions. Reads Claude Code / Codex logs natively. Redaction on by default. Pure stdlib. - mkmkkkkk/compactdiff
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