Memwyre

Memwyre is an AI memory platform that compiles work done across AI tools, agents, and conversations into a persistent, shared memory layer that connected tools can recall before they act.

What is Memwyre?

Memwyre is a memory layer for AI tools, hosted at app.memwyre.tech. It ingests technical context — code decisions, IDE sessions, documents, and conversations — from the editors and agents you already run, stores each item as a named memory entry with a modified timestamp and byte size, and returns the relevant entries as context when another tool asks. Output is retrieved context rather than a chat reply: in the page's own demo, a Slack question about Stripe retries, billing RPC, PgBouncer pool limits, and token rotation was answered in 42 ms with the source tools cited.

What makes Memwyre stand out?

• Cross-LLM shared memory — one memory layer is shared across Claude, ChatGPT, Gemini, Perplexity, OpenAI, and Gemini-backed tools, so a pattern explained in one assistant is retrievable from another.
• Native IDE memory via MCP — connecting an editor over the Model Context Protocol makes prior bug fixes, configuration choices, and API schemas searchable inside Cursor, VS Code, or Windsurf.
• Agent-written memory — terminal agents such as Claude Code, Codex, and OpenClaw save debug results and project conventions back into memory, so each session builds on the last.