lean-ctx is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named lean-ctx among their alternatives. The relationship is not symmetric — how lean-ctx rates them is a separate judgement, made when lean-ctx is analysed in its own right.
calls lean-ctx “Rust binary with the same context control and memory; choose it if you prefer a lightweight standalone over TypeScript 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.
calls lean-ctx “broader context layer with memory/guards, not just output compression.”
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
calls lean-ctx “Choose it when you want a single Rust binary that filters and remembers context instead of a Python/TS compression library.”
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 lean-ctx “choose if you need an agent context guard/memory layer with permissions rather than graph indexing.”
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