token-optimization
One call. not ten reads. code intelligence for your AI coding agent.
Gortex indexes your repository into an in-memory knowledge graph and serves it to your coding agent over MCP, HTTP, and a web UI. One graph query replaces a stack of file reads — up to 50× fewer tokens per response. 257 languages, a 21-tool MCP surface, live editor-buffer overlays, speculative edits, dataflow, clone detection, graph-grounded PR review, and a 17-server LSP bridge. Built for 19 AI coding agents on macOS, Linux & Windows — one binary, zero services.
Cut Coding-Agent Token Waste.
Boost wraps the commands your agents already run, turning noisy logs into compact, structured context that keeps the signal — errors, timings, changed counts, cache hits — while cutting the noise.
Boost never trades quality for savings. It trims only what's safe to drop, so agent output stays just as sharp. Our Terminal-Bench 2.0 benchmark shows it: identical task pass rate, ~12% lower cost — Boost keeps agents optimized without ever breaking their stride.
Cut the noise. Keep the signal.
One install wires Claude Code, Codex, Cursor, and 11 more. ctx-wire runs their commands, compresses the noisy output, scrubs secrets fail-closed, and hands back a short result. The full log stays on disk for when something actually fails.
Context Engineering for AI Agents.
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.
Save 98% of your AI coding agent's context window.
Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 15 platforms