Memwyre captures everything you do with AI—research, code, decisions—and turns it into persistent, accessible knowledge tailored to your workflow.
“AI is everywhere in our workflow — but none of it sticks.â€
You use AI across dozens of tools, but those valuable sessions vanish the moment tabs close.
Crucial context, code snippets, and structured parameters live trapped inside isolated chat logs.
After a weekend away, the reasoning behind prior complex AI outputs is gone. You start from zero.
You repeat the same research and re-prompt the same patterns again and again, wasting time.
Memwyre isn't just a note app. It's a cognitive bridging tool built for the specific ways different professionals leverage AI.
Losing the context of deep debugging sessions, complex architectural choices made with AI, and scattered, hard-won code snippets.
Connect your IDE directly via MCP.
Past bug fixes, API specs, and AI chats become instantly searchable context for your next coding session, right inside Cursor or VS Code.
Drowning in open tabs, PDFs, and disjointed articles. Key insights and thematic connections are easily lost or siloed across tools.
Instantly capture and synthesize.
The Browser Extension grabs highlights while Unified Ingestion parses PDFs. Use conversational chat to synthesize findings across a massive, private body of research.
Competitor research, user feedback analysis, and feature brainstorming are scattered across various docs and ephemeral AI chat histories.
A unified signal inbox.
Gather market signals and parse user feedback documents centrally. Query your second brain to rapidly draft PRDs and business cases grounded in existing, tracked research.
Forgetting the precise details of long tutorials, complex research papers, and online courses shortly after consuming them.
Active recall on demand.
Ingest course materials and research papers. Use conversational chat to actively test your knowledge or ask highly specific follow-up questions months later. YouTube transcript ingestion coming soon.
Autonomous agents run complex multi-step tasks but have no persistent memory between runs. Each invocation starts cold — previous decisions, debug logs, and deployment context are lost.
Persistent memory for autonomous agents.
The @memwyre/openclaw-plugin gives OpenClaw agents first-class tools to save notes and retrieve context from your vault. Agents remember past runs, build on previous debugging sessions, and accumulate operational knowledge over time.