Store observations as persistent memories with optional tags, importance levels, context, and auto-expiration to manage AI agent memory.
MIT
314,038 tools. Last updated 2026-07-28 10:56
"Understanding Persistent Memory and Context Management" matching MCP tools:
- Save facts, observations, or context to persistent memory for recall across sessions. Optionally categorize entries for organized retrieval.MIT
- Delete a key from your agent's persistent memory to remove stored data and manage memory.MIT
- Store a dialog turn with role, content, and metadata to persistent session memory for later retrieval and context assembly.MIT
- List memory stores with summaries to identify the agent's persistent memory, attach it at session start to preserve history and context. Paginate via next_page.MIT
- Save facts, decisions, or context to persistent encrypted memory, ensuring information persists across sessions.Apache 2.0
Matching MCP Servers
- Alicense-qualityCmaintenanceA memory management system that enables AI assistants to store, search, and visualize persistent conversation contexts using a Neo4j graph database. It provides an MCP server for integration with Claude Desktop along with a web-based dashboard for managing relationship-based knowledge.Last updatedMIT
- 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
Matching MCP Connectors
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
MCP server for accessing curated awesome list documentation
- Search persistent memory for prior context and decisions before answering project-specific questions. Prevents amnesia by retrieving stored information.MIT
- Store typed events in an agent's persistent memory log. Each appended event is retrievable later for context and reasoning.MIT
- Store important notes, decisions, and preferences in persistent memory for access across sessions. This tool helps maintain project context and user patterns by saving searchable information to local storage.MIT
- Retrieve relevant context from memory collections via search query, enabling outcome-based persistent memory for AI coding tools.Apache 2.0
- Store a memory with tags, context, importance, and namespace. Build a persistent, correctable AI memory that surfaces corrections first.MIT
- Append new entries to persistent memory for AI agents. Store market observations, trade records, and notes to maintain long-term context and recall.Business Source 1.1
- Search persistent memory to find and return relevant facts based on a query. Supports AI agent memory recall.MIT
- Store agent conversation memory in persistent database to maintain context across sessions for continuous AI interactions.MIT
- Retrieve comprehensive project context including statistics, recent activity, and team information to enable AI understanding.MIT
- Store key-value pairs in persistent memory to save user preferences, project decisions, and session context for future use.
- Save notes, context, or insights to the agent's persistent memory for future recall, with optional metadata and keyword indexing.MIT
- Manage conversation sessions to maintain persistent context and memory across AI interactions, enabling continuity in multi-turn dialogues.MIT
- Replace the existing per-friend memory blob to store persistent facts across sessions. Retrieve current memory first to merge updates.Apache 2.0