Manages conversation memory through hierarchical storage, adaptive retrieval, compression, knowledge graphing, inspection, and curation to maintain context integrity in long AI dialogues.
MIT
133,407 tools. Last updated 2026-05-12 22:37
"memory" matching MCP tools:
- 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.
- Store and retrieve temporary key-value data during development workflows, supporting set, get, list, delete, search, and clear operations with tag-based organization.MIT
- Store and retrieve persistent AI memories, including user preferences, decisions, and project conventions, to maintain context across interactions.
- Create, read, update, delete, search, and organize events, nodes, tasks, todos, diagrams, documents, transcripts, and team items with specialized operations.MIT
- Store plain text documents or memories in Hyperspell to connect AI applications with unstructured data.
Matching MCP Servers
- AlicenseAqualityBmaintenanceTwo-layer memory for AI agents. Episodes compress into identity. The only MCP memory server with an immune system. Patterns earn permanence through evidence, false knowledge gets caught and demoted, and stale information fades — so your agent's memory gets smarter over time, not just bigger. Zero dependencies. 5 tools. Works with any MCP client.Last updated62MIT
- AlicenseAqualityBmaintenanceCognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.Last updated6268
Matching MCP Connectors
AI memory with 56 tools. Knowledge Graph, semantic search, OAuth 2.1 + Magic Link. Free tier.
- Penfield MemoryOAuth
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
- Store content in a vector database for semantic search and retrieval. Save text with unique identifiers to enable AI-powered similarity-based queries.
- Search stored information using natural language queries to find semantically similar content in vector databases.
- Retrieve and format all markdown files from a specified project directory to provide AI assistants with structured project context for enhanced task understanding and execution.MIT
- Set up a memory-bank directory and generate core files for structured project context tracking. Integrates existing project briefs and provides guidance for next steps. Uses a root directory path to initialize or overwrite files as needed.MIT
- Generate and execute detailed instructions for updating Memory Bank files, including file roles, update strategies, operation commands, content templates, and priority logic, ensuring immediate implementation of changes.MIT
- Debug memory leaks and optimize performance in React Native Expo apps by identifying common issues like useEffect cleanup, event listeners, timers, and closure leaks.
- Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.MIT
- Monitors OpenSIPS shared-memory and per-process package-memory usage to detect out-of-memory errors and module leaks. Tracks shm for cross-process state and pkg for private memory, preventing silent call failures.Apache 2.0
- Retrieve OpenSIPS shared and private memory usage statistics to monitor server health and diagnose issues.Apache 2.0
- Display memory usage information to monitor system resources and identify potential performance issues.MIT
- Get memory health metrics: episode counts, wrap history, file size, episode types, wrap status, Hebbian network metrics, and audit trail health. Use at session start or when diagnosing issues.MIT
- Retrieve the agent memory index for a lightweight overview, or load full content of specific topic files for detailed information.MIT
- Initialize project memory system by creating folder structure, generating project-specific prompts, and setting up Claude instructions for AI-driven project management.
- Retrieve comprehensive instructions for using the Memory Bank MCP server. Call at the start of every session to understand available tools and the recommended workflow for persistent memory storage.MIT