context-mode: Every tool call in an MCP (Model-Controller-Program) environment dumps raw data into the context window, quickly consuming space and causing the agent to lose track of ongoing tasks. Context Mode is an MCP server that tackles this by sandboxing tool outputs to significantly reduce context usage, tracking session events in SQLite for continuity, and promoting 'think in code' to minimize data processing within the LLM.; antigravity-workspace-template: This project provides a production-grade workspace template for building autonomous AI agents on Google Antigravity, aiming to simplify enterprise-grade architecture to 'Clone → Rename → Prompt'. It pre-embeds a complete cognitive architecture, enabling the IDE to act as an industry-savvy architect with features like infinite memory, auto-discovery of tools, and multi-agent orchestration.
Deep repository research and analysis (e.g., architecture, contributors, issues)
Rapid prototyping and development of autonomous AI agents.