Pond acts as a persistent, lossless memory layer for AI coding sessions. It stores transcripts and metadata from various agentic clients (like Claude Code or Codex), allowing an agent to retrieve precise context from past work using semantic (vector) search or full-text search.
Use this skill whenever a task requires context from previous sessions, such as remembering a decision made last week, retrieving a specific snippet from another repository, or analyzing trends across multiple sessions before answering a question.
pond_search (vector and FTS modes), pond_get (specific session/message retrieval), and pond_sql_query (read-only SQL analysis over session data).Any MCP-compatible agent (e.g., Claude Desktop, Claude Code) that can connect to the Pond MCP server.
This skill has not been reviewed by our automated audit pipeline yet.