一键导入
pond
Recall past AI agent sessions (Claude Code, Codex, opencode, and more) - lossless storage with semantic and full-text search, served over MCP.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Recall past AI agent sessions (Claude Code, Codex, opencode, and more) - lossless storage with semantic and full-text search, served over MCP.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | pond |
| description | Recall past AI agent sessions (Claude Code, Codex, opencode, and more) - lossless storage with semantic and full-text search, served over MCP. |
pond is your memory across every AI coding session you have run - stored losslessly, searchable. If a task needs context you lack, pond likely has it: recall first, then answer. Before you say "I don't know" or re-derive something that sounds prior, search pond.
pond_search (mode=vector default; mode=fts for exact words/symbols).pond_get (transcript, or one message in context).pond_sql_query (read-only SQL over
sessions / messages / parts).Params and response shapes live in each tool's MCP description and the
schema://pond, schema://pond-sql, stats://pond resources - read them at
call time, don't guess.
brew install tenequm/tap/pond (or cargo binstall pond-db, or nix profile add github:tenequm/pond#pond), then pond init, then claude mcp add -s user pond -- pond mcp. Keep current with pond sync; pond --help for the rest.
Claude.ai chats are not synced automatically - request a data export
(claude.ai Settings -> Privacy -> Export data, arrives as an emailed .zip),
then pond sync claude-ai-export --path <export.zip>.
Docs: https://pond.locker/