Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt caching, and builds compact context packs for Claude Code, Codex, Cursor, MCP, and more.
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
MindOS is a Human-AI Collaborative Mind System, where human thinks and agents act. Globally sync your mind for all agents: transparent, controllable, and evolving symbiotically.
Laravel-native client for Model Context Protocol (MCP) servers. Built by Redberry (Diamond-tier Laravel partner). Used by LarAgent and other frameworks to enable AI agent functionality.
Craft your applications for productivity and meet your users’ expectations by enhancing your Mantine-based UIs with a desktop-grade, lightweight yet fully-featured, dark-theme aware context-menu component, built by the creator of Mantine DataTable.
Contexer captures architecture decisions, constraints, conventions, and patterns from AI coding sessions. Replays them in next session so you don't have to explain it again. It works across multiple AI agents.
AI Badger - Local-first tool that extracts focused repo context for any AI chat (Claude, ChatGPT, Grok, etc.) without wasting tokens on irrelevant files.
Agent memory + every context-engineering primitive (write / select / compress / isolate) in one importable library. Ranked recall with activation decay over SQLite/FTS5. One production dependency (better-sqlite3).
Makes AI stateful across sessions. Workflow: chat → idea → design → reqs → plan → do_step(s) → done, with fresh scoped context, staleness detection, and human approval at every phase. Roadmap & history of shipped features.