"memory" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Generate contextual prompts and reusable agent skills, evaluate prompts with the 16-dimension Prompt Score, and manage saved work in PromptDrive. Twelve MCP tools also provide authorized access to private Memory for source-grounded answers. Connect over Streamable HTTP using OAuth 2.1 and PKCE. Generation consumes account quota and automatically saves successful results; Memory access follows account permissions and plan limits.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
Post deals, host events, import contacts and keep notes and memory across every assistant.
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Persistent memory for AI agents. Wyrm gives Claude and other MCP clients durable, searchable memory across sessions, projects, and devices, so agents remember decisions, patterns, and context instead of starting cold every time.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Shared private memory layer for AI agents. Write context once, carry it across Claude, ChatGPT, Grok, Cursor, Replit, Bolt, Lovable, Devin, v0 and more. Supports reusable SKILL.md bundles for agent skills discovery. OAuth 2.1 + API key auth.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Household finance memory, budgets, transactions, and monthly reviews for AI assistants.
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.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
- SoupnetOAuthnet.soup.mcp
SoupNet gives your AI agents one shared memory of how you think — across Claude, Cursor, and ChatGPT. Each checks your past decisions as searchable “recipes” and acts on your real judgment. Share it, and your team’s agents inherit that judgment too.
Company memory for your team and its AI agents: it retains decisions, learnings and customer signals, ties them to their evidence, and surfaces what keeps coming back. Hosted in Europe, OAuth sign-in required. Imported data is never used to train a model.
Hosted ambient memory for AI agents. Retrieve context and save notes via MCP tools with OAuth.
Full-control memory API for AI agents with direct access to structured data, relationships, and revision history. Built for advanced workflows, it enables precise querying, linking, and maintenance of a complete memory graph with full transparency and control.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
AI session memory: the brief your AI reads before every session so no session starts cold.
