Tagged “token-optimization”

headroom

Updated today

by headroomlabs-ai

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.

lean-ctx

Updated today

by yvgude

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.

precis-mcp

Updated today

by retospect

MCP server giving LLM agents a seven-verb API over papers, documents, code, state, patents, and cached web/Wolfram/YouTube tool calls

codebase-mapper

Updated today

by Baraa-Suliman

Stacklit: AI Codebase Indexing 2026 – Zero-Setup Local Repo Mapping for Agents