Enables multi-model LLM council reviews and parallel sidecar conversations within Claude, allowing Claude to orchestrate structured reviews from various AI models and fold their responses back into the session.
Enables AI coding agents to read each other's conversation history read-only and sanitized, so you can continue work across different tools without re-explaining context.
Allows users to manage multiple remote AI coding agents from a single Claude Code session, with a controlled execution model where operations require moderator approval.
Enables coding agents to perform workspace-confined file operations, read-only Git inspection, and structured shell commands, while requiring out-of-band human approval for mutations and external executions and maintaining an audit trail.
Enables AI coding agents to consult a multi-model deliberation council before irreversible, high-stakes decisions, returning structured architectural decision records with consensus and dissenting risks.
Enables coding agents to request guarded code and architecture reasoning from multiple AI models through a single MCP server, with modes for direct answers, parallel councils, ordered chains, and structured debates, plus reusable context and audit tracing.
