MemWyre Memory

OpenClaw plugin for MemWyre persistent memory. Cloud-hosted memory backend.

MemWyre is a universal memory layer for AI agents — a cloud-hosted persistent memory backend that works across LLMs, tools, and conversations. Built by Himansh Shivhare (ramblinghermit0403), MemWyre aims to solve the fundamental problem of AI statelessness: every chat starts from zero, insights get lost across conversations, and knowledge is scattered across PDFs, chats, docs, and web pages. The MemWyre OpenClaw plugin connects your agent to the MemWyre cloud infrastructure, enabling automatic memory capture and recall. When configured, your agent's conversations are processed, chunked, embedded, and indexed for semantic retrieval. The plugin supports auto-recall (injecting relevant memories before each agent turn) and auto-capture (extracting facts after responses), similar to how Supermemory and Mem0 operate. Under the hood, MemWyre uses a vector-graph architecture with ChromaDB for embeddings and semantic search. It supports multiple ingestion paths: file uploads, browser extension capture, web scraping, YouTube transcripts, and agent outputs. An inbox-based approval flow lets you review memories before committing them to long-term storage, preventing memory pollution from low-quality content. MemWyre is relatively new to the OpenClaw ecosystem with modest adoption (~175 weekly downloads) compared to established memory plugins like Supermemory (3,300+) or Engram (4,300+). It's best suited for users who want a cloud-hosted memory layer with cross-LLM portability — your memories work across ChatGPT, Gemini, Claude, and local models. However, the limited community documentation and smaller user base mean less troubleshooting support compared to more established alternatives.

Tags: memory, cloud

Use Cases

  • Cross-LLM memory — use the same knowledge base whether chatting via ChatGPT, Claude, or OpenClaw
  • Personal knowledge management with AI-powered semantic search across all your documents
  • Research assistant that accumulates findings across multiple sessions and tools
  • Building a persistent 'second brain' that augments any AI interaction

Tips

  • Start by testing with manual memory saves before enabling auto-capture to understand what gets stored
  • Use the browser extension alongside the OpenClaw plugin for maximum memory coverage across all your AI tools
  • Check the GitHub README for the most up-to-date setup instructions — the website is minimal
  • If privacy is a concern, consider Engram (local-first) or self-hosted Mem0 instead
  • Use the inbox approval flow initially to review what's being captured before switching to auto-approve

Known Issues & Gotchas

  • Very new plugin with limited production battle-testing — expect rough edges
  • Documentation is primarily on the GitHub repo, not on the MemWyre website which is mostly a landing page
  • The plugin uses the name 'openclaw-memwyre' in config but the npm package is '@memwyre/openclaw-plugin' — don't confuse them
  • No migration path from other memory plugins — you start fresh
  • All memory data is stored in MemWyre's cloud — evaluate privacy implications before use
  • Inbox-based approval flow is useful but adds friction if you want fully automated memory

Alternatives

  • Supermemory
  • Engram Memory
  • Mem0 Memory
  • Cortex Memory

Community Feedback

The OpenClaw plugin lets AI agents save and recall context from your vault automatically.

— memwyre.tech

MemWyre is a universal memory layer for AI — designed to capture, organize, and retrieve your knowledge across tools, conversations, and large language models.

— GitHub

B tier — Mem0. Great automation, kills your privacy and costs up to 7 cents per message. The actual winning setup is a stack: Obsidian + QMD + SQLite.

— Reddit r/clawdbot

Frequently Asked Questions

How does MemWyre compare to Supermemory and Mem0?

MemWyre is newer and smaller (~175 weekly downloads vs 3,300+ for Supermemory and 2,000+ for Mem0). It differentiates by being a 'universal memory layer' that works across multiple AI tools, not just OpenClaw. However, it has less documentation and community support than both alternatives.

Is MemWyre free to use?

MemWyre has a pricing page on memwyre.tech. Check the website for current plan details. The OpenClaw plugin itself is MIT-licensed and free to install.

Where is my memory data stored?

All memory data is stored in MemWyre's cloud infrastructure. There is no self-hosted option. If data privacy is a priority, consider Engram (local-first) or self-hosted Mem0 instead.

Does MemWyre work with other AI tools besides OpenClaw?

Yes. MemWyre is designed as a universal memory layer. It also provides an MCP server for Claude Desktop and Cursor, a browser extension for capturing web content, and API-based LLM connectors for any AI client.

What technology does MemWyre use for search?

MemWyre uses ChromaDB for vector embeddings and semantic search, with LangChain for processing. It supports top-K relevance ranking with source-linked context retrieval.

Configuration Examples

Basic setup

{
  "plugins": {
    "entries": {
      "openclaw-memwyre": {
        "enabled": true,
        "config": {
          "apiKey": "${MEMWYRE_API_KEY}"
        }
      }
    }
  }
}

With memory slot assignment

{
  "plugins": {
    "entries": {
      "openclaw-memwyre": {
        "enabled": true,
        "config": {
          "apiKey": "${MEMWYRE_API_KEY}"
        }
      }
    },
    "slots": {
      "memory": "openclaw-memwyre"
    }
  }
}

Installation

openclaw plugins install @memwyre/openclaw-plugin