List your network volumes (persistent storage attachable to pods) with pagination support via limit and cursor parameters.
Apache 2.0
306,540 tools. Last updated 2026-07-25 12:02
"Understanding Persistent Memory in Cursor Functionality" matching MCP tools:
- Delete a key from your agent's persistent memory to remove stored data and manage memory.MIT
- Retrieve encrypted values stored in an agent's persistent memory using API key, namespace, and key name.MIT
- Search persistent memory to find and return relevant facts based on a query. Supports AI agent memory recall.MIT
- Store persistent memory with optional associations to other nodes for continuous learning and reasoning in AI systems.MIT
- View all knowledge packs currently loaded in persistent memory. Filter by user or project scope to narrow results.Apache 2.0
Matching MCP Servers
- -license-qualityCmaintenanceA self-hostable MCP server that provides permanent memory for AI agents using Postgres + pgvector for semantic search and Markdown file sync.Last updated
- Alicense-qualityDmaintenanceGives Claude Code long-term memory that persists across sessions via hybrid BM25 and vector semantic search, with multi-project isolation.Last updated388MIT
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ifsc-in MCP — Indian bank branch IFSC code lookup via Razorpay's open
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
- Store agent conversation memory in persistent database to maintain context across sessions for continuous AI interactions.MIT
- Store information in persistent memory for multi-agent collaboration, enabling key-value data storage with optional expiration and type categorization.MIT
- Retrieve stored information from persistent memory using keys or filters to access data for collaborative agent workflows in multi-agent systems.MIT
- Store a fact in persistent memory by providing a key and value. Retrieve it later using the key to access information across sessions.MIT
- Manage conversation sessions to maintain persistent context and memory across AI interactions, enabling continuity in multi-turn dialogues.MIT
- Store information in persistent memory using key-value pairs, with optional tags and source for organized research recall across sessions.MIT
- Replace the existing per-friend memory blob to store persistent facts across sessions. Retrieve current memory first to merge updates.Apache 2.0
- Access stored characters, world-building, plot threads, and style guide from a Scrivener project's memory. Returns the full memory when no store is specified.AGPL 3.0
- Lists all memory volumes (projects) accessible by your API key, each serving as an independent memory space for persistent memory management.MIT
- Save key-value pairs to persistent memory across sessions for remembering user preferences, installed skills, or project context.MIT
- Create a shared memory room for collaborative context that your AI assistants and others' assistants can read and write to across Claude, ChatGPT, and Cursor.MIT
- Search persistent memory across SQLite and markdown files to retrieve prior context, feedback, project state, and session notes. Use at conversation start to recall relevant facts.MIT
- Store or update facts like character profiles, world-building details, plot threads, or style-guide entries in your project's persistent memory for consistency across sessions.AGPL 3.0
- Store observations as persistent memories with optional tags, importance levels, context, and auto-expiration to manage AI agent memory.MIT