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.; node9-proxy: Node9 is an execution security layer for AI agents that intercepts dangerous shell commands and tool calls in real-time. It features a multi-channel approval system (native popup, browser, Slack, terminal), a flight recorder for live monitoring, and an AI negotiation loop to guide safer behavior. It also includes DLP content scanning and shadow git snapshots for undo.
Deep repository research and analysis (e.g., architecture, contributors, issues)
Protect AI agents from executing dangerous commands during development