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DocsCutting agent costs

Tools that make coding agents cheaper, compared

The tools that cut coding agent spend, sorted by what they act on.

The layers

Start with where the tokens are. Claude Code sends the whole conversation with every request, and on our benchmark run 94 percent of the plain agent's tokens were that resend. Much of that resend is tool output, so a tool that shrinks tool output acts on a large share of the bill. A tool that shortens the model's own writing acts on a much smaller share.

Layers are taken from each tool's own README or product page.
LayerWhat it acts onTools
Shell outputCommand results before the agent reads themRTK
A proxyTool results and history in the outgoing requesttamp, pxpipe, Caveman proxy, Edgee, Headroom
The model's writingThe agent's own prose and code volumeCaveman skill, Ponytail
RetrievalWhich files the agent reads at allclaude-context
The clientEach tool result as it arrives, plus a local map of the codeStateSync
MeasurementReports spend, changes nothingccusage

Each tool

RTK

Filters shell output before it reaches the agent, with rules for git, grep, test runners and package managers. Wired in through agent hooks, so git status becomes rtk git status. Claims "up to 90% of the bash output your agent reads", and says itself that this is not the same as cutting the bill by 90 percent, and that Claude Code's built-in Read, Grep and Glob skip the hook. A separate RTK Proxy compresses API traffic. Free for production use, Apache 2.0 with parts under BUSL 1.1.

Headroom

A compression library with a proxy, an agent wrapper and an MCP server. Claims "20% fewer tokens for coding agents". It is the one tool here that publishes a quality check beside its saving, on small GSM8K and TruthfulQA samples. Free, Apache 2.0, with an enterprise tier.

tamp

A proxy in front of the provider API, started with npx @sliday/tamp. Claims "52.6% fewer input tokens", without describing the measurement. It leaves error results, paths, URLs and version strings alone because compressing them can corrupt them. Free, MIT.

Caveman

A skill that shortens the agent's own prose, plus a proxy that trims what the agent reads. Its headline is now the proxy: "33.2% fewer input tokens" across 54 Claude Code runs. Its README says the skill's rules add about 1,160 tokens of text, and that what they add to the bill "depends on caching; not measured yet". Free skill, source available runtime.

Ponytail

A ruleset that pushes the agent to write the least code that works. Version 5 reports 26 percent lower cost, 53 percent less code and 41 percent less time on 39 tasks with Opus 5.5, and lists its own limits. It corrected its earlier, larger figures in public. Free, MIT.

pxpipe

A proxy that turns bulky context into images, which are priced differently. Claims "59-70%" lower billing, and publishes the cost: exact strings like identifiers can be lost. Free, MIT.

claude-context

Semantic code search over MCP, so the agent finds code instead of reading widely. Claims about 40 percent fewer tokens. Needs a hosted vector database and an embedding API key. Free, MIT.

Edgee

A gateway that trims tool results and shortens output. Claims "-50% tokens on a typical session", shown on one example session. License and price are not on the page.

ccusage

Measurement only. Reads local session files and reports tokens and cost. Run it before installing anything else here, so you know what your bill is made of. Free.

StateSync

A desktop app that runs your coding agent on your own account: Claude Code, Codex, OpenCode, Cursor CLI, Copilot, Pi, Auggie, Factory Droid and Grok. As each tool result arrives, it carries forward the part the agent will use, and the whole result is one call away if it needs it. Install it, open a folder, pick an agent. Nothing to wire in per agent. In our run of the TokenBench 55-task set it cut cost 46% and was 48% faster across 55 tasks, with quality scored on every task: higher on 15, level on 34, lower on 6. Every task is public, including the ones it lost. It is a paid tool, priced to pay for itself.

Side by side

Every claim is the vendor's own, from the sources below. Only StateSync's was measured by us.
ToolLayerSetupClaimBasis stated
RTKShell outputHook per agentUp to 90% of bash outputVendor says it is not a bill cut
HeadroomProxy or libraryWrapper, proxy or MCP20% for coding agentsTraces, plus a small quality check
tampProxynpx, set base URL52.6% input tokensNot described
CavemanModel's writing, plus proxySkill, proxy setup33.2% input tokens, proxy54 Claude Code runs, own benchmark
PonytailModel's writingRule file per agent26% cost39 tasks, own harness, limits listed
pxpipeProxy, imagesnpx, set base URL59-70% billingOwn instrumentation, lossy on exact strings
claude-contextRetrievalMCP plus hosted databaseAbout 40% tokensDetails not published
EdgeeGatewayInstall script50% on a sessionOne example session
ccusageNonenpxNoneMeasurement only
StateSyncClientInstall once46% lower cost55 tasks, quality scored, harness public

How to read the numbers

  • What is the percentage of? Ninety percent of shell output and twenty percent of the bill can be the same result.
  • Was quality measured beside it? A saving with no quality score is half a result.
  • What does it take to keep running? Every hook, proxy, skill and rule file is one more thing per agent that can quietly break after an update.
  • What happens to exact strings? Paths, hashes and version numbers are where lossy compression hurts.

We have not run these tools against each other under one method, so nothing here says one produces worse work than another. Start with ccusage and the free fixes, then decide which layer the rest of your bill is at.

Sources

  1. Headroom, README and product pagegithub.com/headroomlabs-ai/headroom
  2. RTK, READMEgithub.com/rtk-ai/rtk
  3. tamp, READMEgithub.com/sliday/tamp
  4. Caveman, READMEgithub.com/JuliusBrussee/caveman
  5. Ponytail, READMEgithub.com/DietrichGebert/ponytail
  6. pxpipe, READMEgithub.com/teamchong/pxpipe
  7. claude-context, READMEgithub.com/zilliztech/claude-context
  8. Edgee Token Compression, product pagewww.edgee.ai/token-compression
  9. ccusage, READMEgithub.com/ryoppippi/ccusage
  10. Anthropic, Claude Code: manage costs effectivelycode.claude.com/docs/en/costs
  11. TokenBench harness, our 55-task rungithub.com/Silverspine1/TokenBench

Something missing or wrong on this page? Write to support@statesync.net.