aming-claw: Aming Claw is an open-source, graph-governed control plane for AI-agent code review. It provides a shared dashboard for humans and AI agents, enabling real-time audit of changes, review of proposals, and local-first multi-language support. The V1 focuses on commit-bound graph state, typed AI proposals, review gates, and durable repair rules.; 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.
Govern AI-assisted fixes with manual fix workflow
Deep repository research and analysis (e.g., architecture, contributors, issues)