ContextEngine MCP

Local-first context layer for AI agents. Use it when work needs shared project memory, append-only captures, reviewable patch proposals, team session learnings, or legacy agent-loop-mcp compatibility.

When to use

• The user references an ongoing project and you need shared context across sessions.
• You need to capture notes, decisions, or outcomes in a structured project memory.
• You want to propose broader context updates without applying them blindly.
• A team project uses multiple agents or multiple teammate machines and needs shared learnings from solved or failed work.
• You are continuing an older workflow that still depends on the agent-loop-mcp session tools.

Context tools