"Persistent" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
Build personal interactive apps with real URLs and persistent storage, using any AI.
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
MCP-native Trust Infrastructure for AI Agents. Persistent encrypted memory with Trust Quotient.
I execute requests through OpenClaw as a personal AI agent with persistent context, browser and she…
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
Ultra-fast persistent memory workspace with tenant isolation and cross-model continuity.
Stealth web browser for agents: search, fetch, click, download and type in persistent MCP sessions.
Hosted remote MCP server for AI-driven stealth browser automation. Connect any MCP client (Cursor/Cline natively, Claude Desktop via mcp-remote) — no install, no Docker, no Playwright. Drives a real Chromium with residential proxies, automatic CAPTCHA solving, persistent profiles, and a live viewer URL for human-in-the-loop. Three tools: humanbrowser_run, humanbrowser_stream, humanbrowser_viewer_url. Same hb_live_* Bearer token works for both MCP and the A2A 1.0 endpoint.
Keynodex Memory gives coding agents (OpenCode, Claude Code, ChatGPT, Codex) persistent memory across sessions. Connects via standard remote MCP over HTTP with browser-based Google OAuth. No API keys required.
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.
- ChrysaiOAuthcom.chrysai
Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.
MCP tools: timestamps, UUID v4, gas prices, domain WHOIS, text extraction, and persistent memory.
Scraps Kitchen gives any AI agent a persistent, household-aware kitchen memory. Unlike generic chatbot recall, Scraps maintains structured cooking data: what's in your fridge (with freshness tracking), who you cook for (with allergens, dietary restrictions, and preferences), your recipe collection (with cook notes and per-diner ratings), your shopping list, and your kitchen equipment. 27 tools across 6 domains let agents read kitchen context, suggest meals that respect dietary safety, update the pantry after cooking, and build a history of what works for your household. Every interaction makes the data richer. Cooking history, preference signals, kitchen awareness = better suggestions next time. All tools work via oAuth and a free scraps.kitchen account.
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.
Persistent memory for AI coding agents. Store coding standards, architecture decisions, and project context across sessions with AES-256 encryption.
AI memory layer — one shared, persistent memory across every AI tool you connect.
AI-native project management plus a persistent memory & knowledge layer for agents: live tasks, sprints, AI risk scores, burnout signals, project memory, decision logs, and semantic knowledge search — 100+ tools via OAuth 2.1, free plan.
