LLM token optimization / command output compression for AI coding agents
rtk is a CLI proxy written in Rust that reduces LLM token consumption by filtering and compressing command output before it is sent to AI coding agents.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
when you need a Python-based compressor proxy that also handles logs, files, and RAG chunks.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
broader context layer with memory/guards, not just output compression.
LeanCTX — Context Intelligence for AI systems.
sandboxed output compression with session memory and multi-platform routing via MCP/hooks.
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
These projects were analysed and named rtk among their alternatives. The relationship is not symmetric — how rtk rates them is a separate judgement, made when rtk is analysed in its own right.
calls rtk “Choose it when you want a zero-dependency single Rust binary proxy instead of Python/TypeScript libraries.”
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
calls rtk “choose for a zero-dependency single-binary token-reduction proxy instead of a code graph.”
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, CoPilot, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
calls rtk “CLI proxy reducing token consumption on dev commands; choose it for a transparent proxy rather than MCP-based integration.”
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
calls rtk “A narrow token-reduction proxy, addressing only one aspect of performance.”
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.