"Information about project memory" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Search and inspect signed scientific claims, methods, observations, artifacts, provenance, contradictions, retractions, and reproducible admission receipts from a shared memory for AI agents.
Give your agents your team's real data — read the shared graph, propose actions your team approves.
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, 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.
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
Persistent project context for xAI Grok. IANA-registered .faf format.
Shared semantic graph for AI reviews, classification and structured memory across AI assistants.
Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Persistent cloud memory for Ai coding assistants. 33 MCP tools, 85% accuracy on LoCoMo benchmark. Semantic search, auto-skills, knowledge graph, quantum-safe encryption. Works with Claude Code, Cursor, Windsurf, and any MCP client.
AI session memory: the brief your AI reads before every session so no session starts cold.
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
Free MCP: relationship_memory validate, store (local), retrieve — portable interlocutor cards v1.