Store a key-value pair in the agent's encrypted, persistent memory. Survives across sessions.
MIT
521,841 tools. Updated 2026-09-06 12:28
"Understanding Persistent Memory in Cursor Functionality" matching MCP tools:
- Save or update text in a persistent, searchable memory collection to enable later semantic recall.MIT
- Analyzes Apple API relationships to reveal inheritance, protocol conformances, and recommended alternatives for understanding how APIs work together.MIT
- Retrieve all stored memory keys from persistent storage to review saved data.MIT
- Delete a persistent memory by its stable memory ID to remove outdated or incorrect information.MIT
- Store AI session summaries in persistent memory to retain key decisions, patterns, and solutions learned during coding sessions.MIT
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceA self-hostable MCP server that provides permanent memory for AI agents using Postgres + pgvector for semantic search and Markdown file sync.MIT
- AlicenseNot gradedqualityCmaintenanceGives Claude Code long-term memory that persists across sessions via hybrid BM25 and vector semantic search, with multi-project isolation.118MIT
Matching MCP Connectors
- memoryOAuth
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Persistent semantic memory storage, associative recall, and recent memory index by namespace.
- Create a persistent LLM agent that stays alive in memory with full conversation history until killed, defined by a role and system prompt.MIT
- Save key information, preferences, or context to persistent memory for retrieval in future conversations.MIT
- Delete a key from your agent's persistent memory to remove stored data and manage memory.MIT
- Search persistent memory to find and return relevant facts based on a query. Supports AI agent memory recall.MIT
- Retrieve encrypted values stored in an agent's persistent memory using API key, namespace, and key name.MIT
- Analyze API relationships to discover inheritance, protocol conformances, and Apple's recommended alternatives for understanding how APIs work together.Apache 2.0
- 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
- Search persistent memory for relevant past information to answer queries without opening files.MIT
- 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
- List notes saved in the persistent memory vault, filtering by folder or tag to retrieve relevant stored context.MIT
- Manage conversation sessions to maintain persistent context and memory across AI interactions, enabling continuity in multi-turn dialogues.MIT