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

The Context Optimization Layer for LLM Applications

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

Hybrid Context Optimizer — Shell Hook + MCP Server. Reduces LLM token consumption by 89-99%. Single Rust binary, zero dependencies.

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.

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

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.

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

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

TOON encoding for Laravel. Encode data for AI/LLMs with ~50% fewer tokens than JSON.

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.

Entroly helps AI coding tools like Cursor, Copilot, and Claude Code use the right context from your entire codebase—improving output quality while reducing token usage.

TOON — Laravel AI package for compact, human-readable, token-efficient data format with JSON ⇄ TOON conversion for ChatGPT, OpenAI, and other LLM prompts.

Recursive Language Model that improves any LLM while reducing token usage up to 4X across 12 benchmarks.

Security hooks and monitoring for Claude Code — quiet overrides, SSRF protection, MCP compression, OTEL tracing

OCTAVE protocol - structured AI communication with 3-20x token reduction. MCP server with lenient-to-canonical pipeline and schema validation.

Multi-agent orchestration for Claude Code with 15-30% token optimization, self-improving agents, and automatic verification

The central goal is the 5-line API a complete, production-ready endpoint with auto-generated OpenAPI documentation, compiled validation, and distributed tracing should require no more boilerplate than the handler logic itself.