usagetrim

mcp
Guvenlik Denetimi
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  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 10 GitHub stars
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  • exec() — Shell command execution in scripts/benchmark_code.py
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Bu listing icin henuz AI raporu yok.

SUMMARY

Keep the signal. Cut the noise. Local CLI + MCP — fold verbose tool output for Claude Code, Codex, Cursor & Desktop.

README.md

UsageTrim: keep the signal, cut the noise. Authored fixtures cut docker 18,360→107, cargo 3,795→185, pytest 1,562→174.

Keep the signal. Cut the noise.
Local CLI + MCP that folds verbose tool output for Claude Code, Codex, Cursor, and Claude Desktop — recoverable by reference. Optional macOS pet.

CI Release MIT license MCP Compatible Runs in Claude Code, Codex, Cursor, Desktop GitHub stars

Install · Demo · Features · Connect · Pet · Guide

Harnesses and tools: Claude, Codex, Cursor, Desktop, pytest, docker, cargo, go, eslint, mypy


Install

Requires Python 3.11+ and uv.

uv tool install 'git+https://github.com/00200200/usagetrim.git'
usagetrim demo

Install from this GitHub repo. The PyPI package named usagetrim is a different project.

verbose tool text  →  keep the failure  →  recover the rest by reference

See it cut

usagetrim demo is offline — no model calls. Failures stay; originals recover exactly.

Measured savings: docker 99.4%, go 98%, terraform 96%, cargo 95.1%, kubectl 92.5%

Terminal showing usagetrim demo measured fixture results

Fixture Tokens
docker build BuildKit 18,360 → 107 (99.4%)
go test + goroutine dump 3,281 → 64 (98.0%)
terraform plan refresh/read 5,885 → 236 (96.0%)
cargo test + backtrace 3,795 → 185 (95.1%)
pytest noisy (xdist + I/O) 5,111 → 348 (93.2%)
kubectl describe pod 8,049 → 601 (92.5%)
pytest recovery demo 1,562 → 174 (88.9%)
vitest / eslint / tsc up to 98.8% / 79%

Local o200k_base estimate — not billing, quality, or subscription-limit claims. Full matrix: usagetrim demo --json.

usagetrim run -- pytest -v
usagetrim run -- docker build -t app .
usagetrim run -- cargo test
usagetrim run -- go test ./...
usagetrim run -- kubectl describe pod api-7d8f9c-xk2m9
usagetrim run -- terraform plan
usagetrim run -- npx eslint . --format codeframe

What you get

  • Cut noise, keep the failure. Specialized filters for pytest, Docker, cargo, go, vitest, eslint, tsc, mypy, pyright, kubectl, terraform, uv sync/uv add, git diff, ruff…
  • Session dedup + spill. Same run output or identical cat / MCP usagetrim_read view within ~15 minutes → short cache ref. Payloads over ~20 KiB → file + preview (USAGETRIM_SPILL_BYTES).
  • Recover by reference. Omitted text stays in a local CCR cache: usagetrim retrieve tc_…
  • Measure it. usagetrim gain / MCP usagetrim_gain — per-tool-family savings and passthrough candidates (local estimates, not account quotas).
  • Desktop-ready. MCP for Claude Code / Codex / Cursor / Claude Desktop; Prepare-for-chat clipboard flow; optional macOS pet.
usagetrim gain                 # summary + by tool family + passthrough tips
usagetrim gain --history       # same tables + recent Raw→Compact / Saved rows
usagetrim gain --passthrough   # near-zero cuts only (specializer candidates)
usagetrim prepare --file draft.txt

Details and tradeoffs →


How it fits

UsageTrim is not a chat interceptor. It sits on the tool path (CLI wrapper, MCP, Prepare-for-chat) so agents still see failures — just without the noise.

Approach What UsageTrim does instead
Blind head/tail truncation Specialized cutters keep the failure signal; rest recovers via usagetrim retrieve
Rewrite the whole chat stream MCP + prepare only — Desktop cannot rewrite model turns
Opaque “saved tokens” badges usagetrim gain shows local Raw→Compact by tool family (not billing quotas)

Same CCR idea as peers (compress → cache → retrieve). Differentiation is specialized cutters, session dedup, spill-to-file, and Desktop/MCP install paths — not a claim that we beat RTK/snip/headroom on every workload.


Connect your agent

Desktop & Coding profiles: 9–11 essential tools instead of 16 — about 36–38% smaller tool schemas in local o200k_base measurements (3,414 → 2,183 / 2,102). Not a per-turn usage guarantee.

# One-command installer for Codex & Claude Desktop
usagetrim install --codex            # configures ~/.codex/config.toml
usagetrim install --claude-desktop   # configures Claude Desktop MCP
usagetrim install --mcpb             # Extension manifest for one-click packaging
usagetrim install --all              # configures all at once

For Claude Code CLI:

claude mcp add --scope user usagetrim -- usagetrim mcp --profile coding

Manual MCP configuration for Claude Desktop, Cursor, Codex, Windsurf:

{
  "mcpServers": {
    "usagetrim": {
      "command": "/absolute/path/to/usagetrim",
      "args": ["mcp", "--profile", "desktop"]
    }
  }
}

Path: command -v usagetrim. Use --profile full for every tool, --profile coding for core terminal tools, or --profile desktop for chat apps. Client setup →

# Prepare messy logs or stack traces with prompt-cache prefix stabilization:
usagetrim prepare --desktop -f error.log

# Initialize or optimize lean, cache-aligned instructions (CLAUDE.md / AGENTS.md):
usagetrim rules --init --client claude        # writes lean CLAUDE.md (~120 tokens)
usagetrim rules --init --client codex         # writes lean AGENTS.md (~120 tokens)
usagetrim rules --optimize --write -f CLAUDE.md # strips filler, aligns prompt caching

Desktop companion

Mint robot on your Mac — draggable pet or menu-bar mode. Local measurements, task memory, optional account-limit readings. English UI. No extra AI calls.

UsageTrim macOS pet with example five-hour balances: Codex 68% left, Claude 42% left.

Example balances are remaining allowance — not savings caused by UsageTrim.

Prepare for chat window comparing an authored conversation with a local preview

Prepare for chat — paste a log, preview the cut, copy into Codex / Claude Desktop. Log prep →

macOS 13+ · ad-hoc signed, not notarized. CLI and MCP work without the pet. Build →


Make it better with us

If UsageTrim earns a place in your workflow, star the repo. Lost context or a missed cut? Open an issue with a small redacted example.

Star History Chart

Guide · Measurements · MIT

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