CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
lowfat - slim your command output. strips noise, saves tokens.
Your agent pays twice for output it has already seen. OMNI returns a handle instead: 97.2% off a file read twice. Nothing deleted, nothing invented.
Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).
The Distillery. A Token Optimization Proxy
Private, provider-neutral context compression for LLMs. Reversibly compress schemas and logs inside your perimeter with zero third-party calls.
A drop-in proxy that compresses bloated code context in real-time, cutting LLM API costs by 50–80% without losing what the model actually needs to know.
The context intelligence layer for AI coding agents. Compressing noise, routing content to the right strategy, preserving session state across compactions, and surfacing the files that actually matter.
Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6% measured savings, reproducible.
Eco mode for Claude Code. /eco: -31% to -73% output tokens with critical findings intact; /eco-max: up to -75% with lowered effort. Measured hardest on Claude Fable 5 (fable5), deep-studied on Sonnet 5, works on Opus 4.8 too. We publish our negative results. 82 raw benchmark runs.
Save 30-60% on Claude Code costs -- proven strategies, real benchmarks, copy-paste configs, and interactive tools
Stop overpaying to run your agents. Kalibr routes every request to lower-cost model and tool paths without degrading performance.
💰 Save money on AI API costs! 76% token reduction, Auto-Fix token limits, Universal AI compatibility. Cline • Copilot • Claude • Cursor
VL-JEPA inspired pipeline — compress images/text locally via Ollama, send compact payloads to any LLM API. Cut token costs by ~80%.
Just hook it in front of your public S3 bucket and enjoy reduction in bandwidth costs from your bucket
Minimize LLM tokens from Python objects, code, logs, diffs, and more. Zero deps. Ultra-Lightweight.
A Kubernetes resource recommender that extends the API server to provide native suggestions.
Solves Cold Start problem & saves upto 90% cost for EKS. On demand Dynamic service provisioning for business and Enterprise. CPU, GPU & AI Workloads
🎯 Optimize LLM token usage by 70-90% with smart context ranking, reducing costs while maintaining quality and performance.
Claude Code settings.json auto-config tool to quickly switch API_KEY, AUTH_TOKEN, and model configs across multi-model setups. Secure backup and desensitized previews. 🐙
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