Save a new note to an agent's memory and return the memory ID. Use pinned to protect important notes from automatic eviction when the memory cap is reached.
MIT
470,320 tools. Updated 2026-08-23 08:07
"A memory-efficient MCP server with vectorized memory bank synchronization" matching MCP tools:
- Evaluate your agent's memory quality with a health score. Identify stale memories, conflicts, and contradictions to monitor memory health over time.MIT
- List all memory collections (tenants) available to the current API key on this MCP server.MIT
- Retrieve detailed memory information including timestamps, metadata, and categories using a specific memory ID from the Memsolus MCP Server.MIT
- Retrieve server health information including version, uptime, memory usage, cache statistics, and Node.js version.MIT
- Merge a reviewed draft into canonical memory, optionally marking an older memory as superseded.MIT
Matching MCP Servers
- AlicenseNot gradedqualityFmaintenanceMemory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.3246MIT
- AlicenseAqualityDmaintenanceMCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.19764MIT
Matching MCP Connectors
One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
- Clear the stored API key for a named company context to revoke access and remove credentials from server memory.Apache 2.0
- Removes all saved connection credentials for every company in the MCP server, effectively clearing API keys from memory.Apache 2.0
- Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.MIT
- Determine if the LogicMem memory server is healthy and ready for use.MIT
- Read today's memory log from the OpenClaw server to access current day's stored memory entries.Apache 2.0
- Search vectorized files in a group using semantic queries to find relevant content based on meaning rather than keywords.MIT
- Retrieve a memory by its ID, returning all metadata and content. Inspect or verify memory state after recall or update.MIT
- Compress project memory files to reduce session token costs. Creates .original backups and validates structural integrity before overwriting, returning per-file compression ratios.MIT
- Add a human-curated memory entry with title, summary, and topic tags to your memory palace, with optional detailed markdown content.AGPL 3.0
- Validates timestamps, roadmap_sync, and memory-bank file consistency after documentation updates. Ensures documentation integrity without running tests or code quality checks.MIT
- Check for available updates to the Memory MCP server, querying GitHub Releases and git commits, and receive step-by-step update instructions when a new version is found.MIT
- List all canvases currently in memory to retrieve canvas IDs and dimensions, avoiding reliance on conversation memory.Apache 2.0
- Check for a newer version of the Memory MCP server. Provides step-by-step update instructions without making any changes.MIT
- Check MemHeaven's protocol and backend health to diagnose server issues. Confirm the memory server is operational before starting memory-relevant chats.MIT