Delete a key from your agent's persistent memory to remove stored data and manage memory.
MIT
312,396 tools. Last updated 2026-07-28 10:01
"Information About Persistent Memory" matching MCP tools:
- Save facts, decisions, or context to persistent encrypted memory, ensuring information persists across sessions.Apache 2.0
- Retrieve information about defined memory regions and their access permissions, showing regions set with edb_set_memory_permissions.MIT
- Search persistent memory to find and return relevant facts based on a query. Supports AI agent memory recall.MIT
- View statistics about memory usage, optionally filtered by space, to monitor and manage persistent memory storage.MIT
- Store information in persistent memory for multi-agent collaboration, enabling key-value data storage with optional expiration and type categorization.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceA self-hostable MCP server that provides permanent memory for AI agents using Postgres + pgvector for semantic search and Markdown file sync.Last updatedMIT
- Alicense-qualityDmaintenanceGives Claude Code long-term memory that persists across sessions via hybrid BM25 and vector semantic search, with multi-project isolation.Last updated388MIT
Matching MCP Connectors
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.
- 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
- Retrieve stored data from persistent memory using a specific key to access previously saved information.
- 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
- Store and organize persistent memories about people, projects, and concepts with custom categories. Create separate knowledge graphs for different contexts like work or personal.MIT
- Store user information like personal details, preferences, and facts for future recall across conversations using persistent memory.MIT
- Retrieve statistics about the Midos memory system, including LanceDB chunks and cache status.MIT
- Save facts, observations, or context to persistent memory for recall across sessions. Optionally categorize entries for organized retrieval.MIT
- Retrieve a ranked markdown digest of your most relevant persistent memory to maintain full continuity across sessions. Optionally query to focus on a specific topic.MIT
- Store important user preferences, project details, and business context for persistent recall across AI agent sessions.ISC
- Retrieve server health information including version, uptime, memory usage, cache statistics, and Node.js version.MIT
- Store a value in your agent's persistent encrypted memory. Values survive across sessions and support string, JSON, number, boolean types with optional TTL.MIT
- Retrieve aggregate memory statistics: total entries, breakdown by category, importance, and source, plus average confidence.MIT