01
Install Cutokyo
Add the desktop app once and keep working in the agents you already use.
desktop token compressor
Save ~50% on ai costs without changing your flow
Cutokyo is an efficiency layer between you and the model. Install it once, log in, and it makes your Claude, Codex, Gemini, and other agent calls cheaper by removing wasted tokens before they hit the model.
Built by researchers with published research in the AI space.
02
Log in
Sign in once and let Cutokyo work with Claude, Codex, Gemini, and other major agents.
03
Save 0% of tokens
Cut up to 70% of tokens and lower AI spend by ~50% without changing your flow.
Cutokyo Desktop · savings liveready
Tokens cut
70%8.4m input tokens → 2.5m optimized tokens. That is 70% less context sent.Input tokens8.4mbefore Cutokyo
Optimized tokens2.5mafter Cutokyo
Token reduction70%less context
Projected AI cost saved52%blended models
Estimated savings$428this month
Claude Code51%cost down
Codex48%cost down
Gemini CLI55%cost down
cost splitready
Cutokyo saved $428 this month while keeping your Claude, Codex, and Gemini workflow unchanged.
live governance layercontext protected
live governance layer
See what your model context is being used on.
Paste or keep the sample context, then run a real backend analysis. Cutokyo redacts sensitive data, logs who requested what to the local OpenTelemetry-shaped log stream, and shows where context is being spent.
Context payloadsample request
Client asks for a production launch summary. Include the current pricing notes, architecture decisions, and failed deployment checks. Remove sensitive runtime data such as auth_token=local-demo-value before analysis. Explain whether tool results, system instructions, or user messages are using most context.
customer-configured / client-selected-model
Request ID: 8d8ff53d-6530-46b7-b8f8-17e4b87a856d
Log stream: back-end/logs/backend.jsonl
email: 1 · secret: 1
Current user requestRepresents the immediate task the user wants handled.
52.7%Tool resultsFeeds observed command, search, and tool outputs back into the model.
20.3%Tool definitionsDescribes callable tools and their schemas to the model.
16.9%System and developer instructionsControls model behavior, safety policy, and product-specific rules.
10.1%what's inside
Built for teams that want lower AI bills without extra work.
Token compression meter
Track the 70% token reduction and the ~50% AI cost savings before the request reaches a model.
Context analysis
See which tools, files, messages, and model calls are spending the context budget.
Security redaction
Redact secrets and sensitive values before context is analyzed or shown to teammates.
Governance logging
Emit who-requested-what records to the customer-controlled local log layer.