Your AI
should remember everything.
Memwyre is the AI Memory Platform that gives every AI tool, agent, and conversation a persistent, shared memory.
All the tools to make AI remember.
Every feature you need to capture, organize, and query your shared memory platform seamlessly across your workflow.
Access it from any app
Invoke Memwyre instantly over any app. Access your shared memory layer across ChatGPT, Claude, Notion, or email to capture thoughts mid-conversation and sync context in a single click.
Bring your knowledge.
We build memory. Your AI just knows.
Persistent memory infrastructure for AI agents. One platform, every capability.
The Memwyre MCP Server
State-of-the-art retrieval and memory. Semantic search, fact extraction, and context pruning. One MCP server, every AI tool connected.
Self-hostable · Model-agnostic · TypeScript & Python SDKs
Personal AI Memory
One memory across everything you use. What you teach one AI, every AI remembers.
One memory layer. Every tool connected.
Memwyre is not a standalone chatbot. It is a universal context layer that plugs directly into the models, editors, and terminal tools you already use every day.



Context for humans, not just databases.
Mem0 and Zep are built as backend database infrastructure for AI agents. Memwyre is built as the out-of-the-box context layer for individual developers, power users, and the tools they work in daily.
60-Second Setup.
No complex onboarding or data migrations. Install the MCP server and connect your workspace instantly.
How Memwyre works.
Read the docsMemwyre is the unified memory layer built for your AI workflow. Save context once, and access it automatically across every tool.
Save prompts, guidelines, or database schemas with one click. They stream directly to your shared memory layer.
Our platform automatically parses facts, resolves entities, and links context in the background to build a connected memory graph.
Query from Cursor composition, Claude Desktop, ChatGPT, or terminal. The correct context is injected without manual copy-pasting.
The LoCoMo Benchmark.
1,540 questions • 5 categories
If your memory platform returns noisy facts or misses key details, your AI writes broken code. Retrieval quality dictates the quality of your AI outcomes. Here is how Memwyre's accuracy compares on the MemoryBench long-context evaluation dataset:
Across the complete evaluation suite, Memwyre outperforms standard vector RAG by +24.4% average recall while reducing context footprint by 81%.
/ Accuracy Metrics
Memory vs RAG
Latency (seconds)
AI that works where your team works.
Simple, transparent pricing for individuals and teams. Start building your persistent AI memory layer today.



