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

Never stop coding. Free AI gateway: one endpoint, 160+ providers, RTK+Caveman stacked compression up to ~95% eligible context savings, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

The Context Layer for AI Development. Compress, track, and govern every token between your code and the AI. Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini and more. 59 MCP tools. 10 read modes. 95+ 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.

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.

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

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

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

Open-source context engine that catches AI hallucinations and cuts your token bill 70–95%. The only AI helper that shows its work. Claude · Cursor · Codex,GPT & Custom Providers

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

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.

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.

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.

Compress LLM context to save tokens and reduce costs

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

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

A smart context filter that removes noise, refines and enhances responses, also slashes token usage by up to 90%.

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