List or search memories in a context space with optional semantic filtering. Returns up to 50 memories.
MIT
164,020 tools. Last updated 2026-05-30 23:02
"Methods to Store and Learn Dynamic Context Memories" matching MCP tools:
- Retrieve relevant memories for user queries to fetch prior context, preferences, and facts before responding.MIT
- Extract and store important information from conversations to maintain persistent memory across interactions, enabling AI assistants to recall facts and user context.MIT
- Retrieve paginated memories from an agent's archival store with search, sorting, and filtering capabilities.MIT
- Every turn, recall consensus-committed memories relevant to the current topic and store an observation to build episodic context across conversations.Apache 2.0
- Store text memories in an agent's archival memory for later retrieval and management within the Letta system.MIT
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Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.
Stop re-explaining yourself to Agents. Give it the right context, right when needed.
- Store, retrieve, search, and manage persistent memories in the Axom database for AI agents, supporting long-term context and complex tool chaining.MIT
- Batch store multiple memories with deduplication, persisting up to 20 entries in one efficient call.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 time to monitor memory usage.Apache 2.0
- Retrieve stored memories for the current project, including codebase knowledge, conventions, decisions, and session context. Results sorted by priority and recency.MIT
- Store facts, decisions, preferences, or context into persistent memory with automatic type classification and importance scoring. Memories survive across sessions and machines, scoped to current project or global.Apache 2.0
- Capture and store user context, business processes, and Salesforce data model insights to provide personalized, context-aware assistance across sessions.BSD 2-Clause "Simplified"
- Load top project and global memories to provide full context from previous sessions. Optionally pass a current task to retrieve the most relevant memories.MIT
- Store and organize critical information, insights, or context into searchable, categorized memories for easy retrieval and knowledge base building.MIT
- Fetch the full SKILL.md content for a named skill to access its instructions and context, enabling agents to learn the skill's capabilities.MIT
- Retrieve and decrypt memories from the encrypted store, optionally filtered by a keyword query.Apache 2.0
- Store content with optional tags and context, enabling future retrieval via basic or structured search.MIT
- Retrieve relevant short-term memories from recent conversations to maintain context and continuity in ongoing discussions.BSD 3-Clause
- Store project notes, recall context, search memories with hybrid semantic and keyword retrieval, cluster related items, deduplicate, archive old memories, and set permanent rules for persistent session intelligence.MIT