Tagged “context-engineering”

headroom

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

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.

rosetta

by griddynamics

Enforce organizational standards across every AI coding agent

gaius

by jkubo

Self-hosted, self-correcting memory consolidation for AI coding agents: an open take on agent 'dreaming'. Extracts, ranks, and injects ops knowledge across Claude Code, Gemini CLI, Grok Build, and Codex sessions. Hybrid BM25 + sqlite-vec corpus, MCP server, fully offline.

diffctx

by nikolay-e

Smart git diff context for LLMs and AI agents — selects the minimal code fragments needed to understand a change, under a token budget. Deterministic, local, MCP server included. Also exports a full codebase to YAML/JSON/MD.