CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

Never stop coding. The free AI gateway — one endpoint, 160+ providers, zero downtime. Smart 4-tier auto-fallback (Subscription → API → Cheap → Free), prompt compression (save 15-75% tokens), 3-level proxy for geo-blocks, MCP Server (29 tools), A2A Protocol, 10 multi-modal APIs, and Desktop/Android/PWA apps.

The Context Optimization Layer for LLM Applications

The context layer for AI coding agents Reduce token waste in Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini & more by 60–95% (up to 99% on cached reads) Shell Hook + MCP Server · 49 tools · 10 read modes · 90+ patterns · Single Rust binary

Sharper context. Fewer tokens. Open-source middleware for Claude Code.

Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.

Working memory for Claude Code - persistent context and multi-instance coordination

Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.

Stop Claude Code from burning through your quota in 20 minutes. Auto-rotates oversized sessions and preserves context.

Intelligent token optimization for Claude Code - achieving 95%+ token reduction through caching, compression, and smart tool intelligence

Reusable setup prompts for optimizing Claude Code documentation. Achieve 90% token savings on any project in 5 minutes.

Entroly-Daemon: Self-Evolving Daemon. Compress 2M-token repos into a razor-sharp Principal Engineer's context. 85–99% fewer tokens, 100% accuracy retention (verified by live API benchmarks). Built for Cursor, Claude Code, Opus, Codex, GPT & Custom Providers.

An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.

Production-ready modular Claude Code framework with 30+ commands, token optimization, and MCP server integration. Achieves 2-10x productivity gains through systematic command organization and hierarchical configuration.

Generate a compact codebase index for AI assistants — saves 50K+ tokens per conversation

Your agents are guessing at APIs. Give them the actual Agent-Native spec. 1500+ API's Ready To-Use skills, Compile any API spec into a lean, agent-native format. 10× smaller. OpenAPI, GraphQL, AsyncAPI, Protobuf, Postman.

CLI proxy that reduces LLM token usage by 60-90%. Declarative YAML filters for Claude Code, Cursor, Copilot, Gemini. rtk alternative in Go.

Compress LLM context to save tokens and reduce costs

Config-driven CLI tool that compresses command output before it reaches an LLM context

A smart context filter that removes noise, improves responses, and reduces token usage up to 90%