Save key-value pairs to persistent memory across sessions for remembering user preferences, installed skills, or project context.
MIT
619,939 tools. Updated 2026-09-28 21:07
"Understanding Persistent Memory and Context Management" matching MCP tools:
- Search persistent memory across SQLite and markdown files to retrieve prior context, feedback, project state, and session notes. Use at conversation start to recall relevant facts.MIT
- Store observations as persistent memories with optional tags, importance levels, context, and auto-expiration to manage AI agent memory.MIT
- Save facts, observations, or context to persistent memory for recall across sessions. Optionally categorize entries for organized retrieval.MIT
- Save observations, preferences, project context, or decisions to an agent's persistent memory. Reinforces identical memories instead of duplicating them.MIT
- Save a memory entry to a persistent store for secure retrieval. Keep information organized with tags and optional agent isolation to ensure context-aware recall.Apache 2.0
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceA 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.MIT
- AlicenseNot gradedqualityDmaintenanceA lightweight memory layer for MCP servers that persists user context across LLM sessions with minimal token cost, supporting key-value dedup, multi-tenant namespaces, and optional TTL.MIT
Matching MCP Connectors
- memoryOAuth
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.
- Access the complete Astria operating guide to learn available tools, recommended workflows, and best practices for persistent memory management.MIT
- Search persistent memory by semantic similarity to retrieve ranked, relevant past context for informed decisions.AGPL 3.0
- 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
- Check the persistent memory vault status: enabled/disabled, note count, tag count, and disk path. Get insights into memory usage for cross-session context.MIT
- Save facts, decisions, or context to persistent encrypted memory so they outlive the current session. Returns a cell ID for later retrieval or deletion.Apache 2.0
- Save facts, documents, code, or user details into persistent memory for cross-session retrieval. Use for additive, non-destructive storage without context loss.Apache 2.0
- Delete all session memory data from the knowledge graph, including nodes, transcripts, and connections. Confirm to permanently clear the session's persistent context.Apache 2.0
- Search persistent memory to retrieve prior decisions and context before answering project-specific questions, using semantic search and filters for relevant stored content.MIT
- Fetch the complete agent context JSON from a finished analysis, containing file index, dependency graph, architecture layers, call chains, and database schema, for saving codebase understanding.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 all stored memory keys from persistent storage to review saved data.MIT
- Store knowledge, user preferences, and project context by creating or updating markdown notes in the persistent memory vault. Supports wikilinks and tags for cross-referencing.MIT
- Search persistent cross-session memory to retrieve relevant context on project history, past decisions, and user preferences before answering.MIT