Extract and store important information from conversations to maintain persistent memory across interactions, enabling AI assistants to recall facts and user context.
MIT
224,960 tools. Last updated 2026-06-22 16:21
"Methods to store and persist memories for AI systems" matching MCP tools:
- Store important information as memory in single or batch mode for future recall. Use after decisions, pattern discovery, or bug fixes to persist context, reasoning, and outcomes.MIT
- Monitor memory store health, identify dormant memories, and get per-namespace counts and confidence distribution to assess knowledge base state.MIT
- Fix AI mistakes by storing corrections that always appear first. Override previous memories with accurate behavior.MIT
- Persist decisions, gotchas, or wins as structured memories across sessions. Store with type, priority, and tags for later recall.MIT
- Store and persist conversation memories for AI agents. Supports episodic, semantic, and procedural memory types with adjustable importance weights.MIT
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- Store temporary session memories, observations, and decisions with auto-expiration. Memories last 7 days by default; customize expiry for short-term context.Apache 2.0
- Retrieve paginated memories from an agent's archival store with search, sorting, and filtering capabilities.MIT
- Store, search, and manage persistent AI memories with actions like add, update, delete, and list. Search before adding to avoid duplicates.
- Store text memories in an agent's archival memory for later retrieval and management within the Letta system.MIT
- Store and index observations like code decisions, bug fixes, and insights across projects. Classify by type, track progress, and persist memories locally to share knowledge across multiple IDEs.Apache 2.0
- Retrieve and summarize scattered memories on a topic into a single structured document, persisted and indexed for future recall.MIT
- Store, retrieve, search, and manage persistent memories in the Axom database for AI agents, supporting long-term context and complex tool chaining.MIT
- Retrieve enabled payment methods for a BTCPay store, including on-chain cryptocurrencies and Lightning Network details with connection status.MIT
- Retrieve memory store statistics including total memories, counts by domain and status, and last activity.Apache 2.0
- Store structured codebase memories—patterns, conventions, decisions—to persist across sessions using SQLite.MIT
- Search the Roblox Creator Store for complete game systems, backend services, economy engines, or data stores like inventory systems, shop systems, and datastore saves.AGPL 3.0
- Retrieve the list of payment methods configured in the store.MIT
- Store information for later recall to persist data across AI agent sessions, enabling memory retention and organized storage with optional categorization.MIT
- Search the Roblox Creator Store for gameplay mechanics, movement systems, physics controllers, and interactive scripts using keywords like double jump or grappling hook.AGPL 3.0