Search shared long-term memory for user preferences, past decisions, and project context before answering, returning results ranked by relevance.
MIT
621,827 tools. Updated 2026-09-29 14:24
"Techniques and Strategies to Improve Long-Term Memory" matching MCP tools:
- Save any statement, event, or instruction to long-term memory. Automatically routes general facts, episodes, and procedures so they persist beyond the current conversation.Apache 2.0
- Get Bitcoin holder supply breakdown: long-term (held >155 days), short-term (held <155 days), and circulating supply, all in BTC.MIT
- Store a new memory in long-term storage for explicitly requested knowledge, decisions, or learnings, with optional links to correct or supersede existing memories.-
- Save, search, and manage long-term memories across conversations. Set preferences, facts, and skills; recall them later by topic.MIT
- Retrieve a company's private wiki page to access long-term notes on preferences, decisions, people, and recurring Q&A. Start with slug 'index' to list available pages.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceA persistent, self-organizing memory MCP server for AI assistants, using semantic search, knowledge graphs, and reinforcement learning to automatically manage and retrieve memories.13MIT
- AlicenseNot gradedqualityFmaintenanceA persistent, human-like memory system for AI companions in LM Studio, using SQLite and ChromaDB for hybrid storage, enabling seamless recall across sessions and models.33MIT
Matching MCP Connectors
- memoryOAuth
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Search events, conference weeks, cities, venues and artist schedules via remote MCP.
- Search long-term memory to retrieve anything relevant to a query, including earlier sessions. Results are ranked by relevance and tagged by memory layer.Apache 2.0
- Strengthen a specific memory entry after reading it to improve long-term retention. Reinforce genuinely useful memories so they resist forgetting.Apache 2.0
- Search shared long-term memory across all agents and sessions to retrieve prior decisions, preferences, project facts, and past incidents before assuming or asking.-
- Reduce memory bloat by merging near-duplicate memories and summarizing related clusters into concise long-term memories. Compress episodic experiences into semantic knowledge.MIT
- Resolve memory entry conflicts by applying priority, scope-narrow, time-bound, or merge strategies.MIT
- Promote a session episode to a persistent engram when it deserves long-term memory. Add tags, scope, and domain to make it retrievable.Apache 2.0
- Save a memory to short-term storage, applying decay over time and promoting frequently used memories to long-term retention.MIT
- Search both short-term and long-term memories at once with unified ranking and pagination to locate specific recollections.MIT
- Save a memory to short-term storage. Memories decay over time unless reinforced, and frequently used memories may be promoted to long-term.MIT
- Search across short-term and long-term memory with unified ranking. Filter by tags, adjust weights, and paginate results to find specific memories.MIT
- Save a session close summary to retain context for the next conversation. Automatically promotes soon-expiring short-term memories to long-term storage to ensure continuity.Apache 2.0
- Assess cryptocurrency market conditions using a dual-score system that measures long-term trend strength and short-term momentum to determine market regime and sentiment for trading decisions.MIT
- Retrieve top-ranked short and long volatility option trading strategies with AI-generated analysis, performance metrics, and customizable ranking criteria.MIT
- Retrieve the athlete's full long-term coach memory, including PRs, goals, training context, and patterns, from stored markdown.MIT
- Save a conversation turn into long-term memory by curating topic, keywords, and typed links for a persistent concept graph.PolyForm Noncommercial 1.0.0