#Cost-reduction
Showing 11 of 11 repositories tagged #cost-reduction, ranked by stars
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.
The Context OS for Autonomous AI Agents. Distill terminal noise into pure semantic signal, stop agent hallucinations, and cut token costs by up to 90%.
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).
Automatic prompt caching for Claude Code. Cuts token costs by up to 90% on repeated file reads, bug fix sessions, and long coding conversations - zero config.
A drop-in proxy that compresses bloated code context in real-time, cutting LLM API costs by 50โ80% 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.
๐ฐ Save money on AI API costs! 76% token reduction, Auto-Fix token limits, Universal AI compatibility. Cline โข Copilot โข Claude โข Cursor
Save 30-60% on Claude Code costs -- proven strategies, real benchmarks, copy-paste configs, and interactive tools
Customizable CLI proxy for coding agents that cuts noisy terminal output while preserving command behavior