"Understanding how memory is stored or memory storage methods" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
- AmberOAuthcom.ambermem
Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
MemoryOracle - 10 agent memory tools: vector store, recall, summarization, redaction.
NeuralBrain MCP Server - RAG, Vector Memory, LLM Routing, Agent Identity, x402 Payments
Persistent memory and vector search for AI agents. Hosted, OAuth-protected via Google sign-in.
- ContextaOAuthcc.contexta
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
