Persistent context for AI agents built fromlearned vectors with certainty scores.
2,051 MCP servers
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
Never explain the same context twice. Capture it once, load it anywhere, fork it to make it yours.
MCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.
Customer memory with recall, confirmation, forgetting, and pre-action evidence checks.
Share one project context across ChatGPT, Claude, Telegram and any MCP client.
Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
Search and save your coding work in a CoralSwarm ocean: sessions, decisions, meetings.
Private, self-describing memory for agents: one house per customer, on a machine of its own.
Google Keep-style notes app with an MCP server for AI agents to read/write notes.
Personal memory layer: files, notes, messages, tasks and email, semantically indexed.
Access and edit your Craft documents.
Memory system for AI agents with semantic search. Store and recall memories with ease.
Self-curating memory your AI tools share: provenance, verified citations, and trust tiers.
Private journal MCP server to search, analyze, and create Dabble Me entries securely via OAuth.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
Persistent, verbatim, searchable memory for AI assistants — one memory across every MCP client.
Decision memory for AI agents: record, revisit, and resolve consequential choices.
Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.
Knowledge base from designare.at – Michael Kanda, Web & AI from Vienna. Semantic search via RAG.