MemoryRouter

Integrations

Every AI you use.
One memory.

Each AI keeps its own memory, if any. MemoryRouter keeps your conversational memory in one place, so you can bring your context into chat assistants, coding agents, and the apps you build. Choose your tool to get connected.

Save my memories

01 / 03 entries

Chat assistants

Your context, wherever the conversation happens.

02 / 13 entries

Coding agents

Keep the decisions. Pick up the project.

  • Claude Code

    Native hooks

    Recall project context and capture conversations across sessions and compaction.

    npx -y memoryrouter-claude init
  • Codex

    Native hooks + OAuth

    Give Codex persistent project memory with automatic recall and turn capture.

    pbpaste | npx -y memoryrouter-codex init --scope user --auth oauth --api-key-stdin
  • OpenClaw

    Native plugin

    Carry conversational memory across agent sessions, channels, and model switches.

    openclaw plugins install npm:mr-memory
  • DeepSeek Harness

    Native plugin

    Share memory across dsh’s Web UI, messaging gateways, and headless sessions.

    dsh plugin --profile <your-profile> add dsh-memoryrouter
  • Hermes Agent

    Native plugin

    Automatically capture clean conversations and recall relevant context across Hermes sessions.

    pip install hermes-memoryrouter hermes-memoryrouter install hermes config set memory.provider memoryrouter
  • NemoClaw

    Sandbox setup

    Connect a sandboxed NemoClaw agent to your MemoryRouter vault.

    npx @memoryrouter/nemoclaw setup --sandbox my-assistant --api-key <your-memory-key>
  • Cursor

    Remote MCP + OAuth

    Add MemoryRouter as a remote MCP server. OAuth built in, no API key in any config file.

    https://mcp.memoryrouter.ai/mcp
  • Windsurf

    Remote MCP + OAuth

    Cascade connects to MemoryRouter over MCP with OAuth built in.

    https://mcp.memoryrouter.ai/mcp
  • Cline

    Remote MCP + OAuth

    Remote MCP server with OAuth 2.1 support in cline_mcp_settings.json.

    https://mcp.memoryrouter.ai/mcp
  • Continue

    Remote MCP + OAuth

    Add a remote MCP server to config.yaml and connect from agent mode.

    https://mcp.memoryrouter.ai/mcp
  • Aider

    OpenAI-compatible proxy

    No MCP support and no plugin system. Point OPENAI_API_BASE at the MemoryRouter proxy instead.

    https://api.memoryrouter.ai/v1
  • Sourcegraph Cody

    Local MCP bridge (Enterprise)

    Bridge to MemoryRouter’s remote MCP server with mcp-remote. Requires Sourcegraph Enterprise with agentic context fetching enabled.

    https://mcp.memoryrouter.ai/mcp
  • Zed

    Remote MCP + OAuth

    Add MemoryRouter as a remote context server. Zed handles OAuth automatically.

    https://mcp.memoryrouter.ai/mcp

03 / 08 entries

Frameworks and protocols

Build memory into the tools you make and the stack you already use.

04 / 04 entries

Data and imports

Bring the history. Keep the continuity.

One account. Your memory.

Change tools.
Not your starting point.

Connect the same vault in each tool. Chat connectors search and save when asked; hooks and API integrations handle memory through their own workflows.

Which products give developers an API for shared, persistent conversation memory? Three kinds: memory APIs you call from your own code (MemoryRouter, Mem0, Zep, Supermemory), MCP memory servers that any compatible client can call, and OpenAI-compatible memory proxies that add recall to every model request. MemoryRouter covers all three from one vault: the memory API and proxy, the MCP server, and per-user vaults for your own product. See the honest comparisons for where the others fit better.

Planning a setup? Browse the integration docs, compare the coding-tool connection options, or follow the OpenClaw multi-agent guide. For existing files and conversations, start with the import overview.