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Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools
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Basado en la clasificación ocupacional SOC
Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.
Review changed code against project standards. Checks for missing tests, dead code, type safety, lint issues, and coding conventions. Run after completing any implementation work.
Cut a core Hindsight release (vX.Y.Z) and open the changelog + blog PR. Use when asked to cut/start a release, bump the version, or publish a new Hindsight version.
Create a new Hindsight-powered subagent with long-term memory. Use when the user wants a specialized agent that learns and remembers across sessions.
Expert memory architect. Understands your application, identifies where memory adds value, and produces an implementation plan with bank config, tag schema, and code.
Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)
| name | hindsight-recall |
| description | Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools |
Use when the user explicitly asks about past decisions, project context, preferences, or anything that may have been discussed in prior sessions.
<hindsight_memories> in the current context already contains relevant results from the automatic session-start recall.recall tool to search for additional memories.reflect tool..cursor/mcp.json configuration