Give Your AI a Memory
Stop explaining the same thing to every AI tool. Save once, access everywhere, manually or autonomously.
The Problem
You told Claude Code about your project architecture last week. Today, you're explaining it again to Cursor.
Tomorrow, you'll explain it to ChatGPT. And next week, back to Gemini.
Every AI tool starts from scratch. No memory. No context. Just you, repeating yourself.
"I already explained this. Why doesn't it remember?"
The Solution
Nowledge Mem becomes the shared brain for all your AI tools.
When you save a memory: a decision, an insight, a preference, every AI you connect can access it. Through MCP, RESTful API, browser extensions, or built-in plugins.
How It Works
Save Insights As You Work
During any AI conversation, save what matters:
In Claude Code or Codex:
/sum → Summarize this conversation into memories
/save → Checkpoint the entire threadIn any MCP-connected tool:
Save this decision to Mem
or invoke the MCP Prompt with /sum.
The AI creates structured memories and saves them to Nowledge Mem.
Your Other AIs Find It Automatically
When you work with a different AI tool, it can search your memories for relevant context.
Example:
You saved: "Architecture decision: Using Redis for session management because..."
Later, in Cursor: "Help me add session handling"
Cursor searches your memories → Finds the Redis decision → Applies the same pattern.
No re-explaining. The context flows automatically.
Context Grows Over Time
Every saved insight becomes part of your knowledge base:
- Searchable by content or labels
- Connected in the knowledge graph
- Available to all your AI tools
- Time-stamped for future reference
After a few weeks, your AIs know your preferences, your patterns, your project history.
Real Example
Without Nowledge Mem:
You: "Help me implement rate limiting"
Claude: "What kind? Token bucket? Sliding window? What's your use case?"
You: [Explains for the 5th time this month]
With Nowledge Mem:
You: "Help me implement rate limiting"
Claude: [Searches your memories] "Based on your decision last month to use sliding window rate limiting for the payment service, here's an implementation matching your Redis patterns..."
Connection Methods
Nowledge Mem connects to your tools in multiple ways:
| Method | Best For | Examples |
|---|---|---|
| MCP | AI agents with MCP support | Claude Code, Cursor, Claude Desktop |
| Plugin | Autonomous workflows | Claude Code plugin with skills |
| Browser Extension | Web-based AI chats | ChatGPT, Gemini, Claude Web |
| RESTful API | Custom integrations | Your own tools, scripts, automations |
| Built-in Support | One-click setup | DeepChat, LobeHub |
Supported Integrations
| Tool | Integration | How to Save |
|---|---|---|
| Claude Code | MCP + Plugin | Autonomous, /sum, /save, or ask |
| Codex | MCP + Plugin | Autonomous, /sum, /save, or ask |
| Cursor | MCP | Rules-based autonomous, /sum, or ask |
| Claude Desktop | Extension | One-click or ask Claude |
| ChatGPT | Browser Extension | One-click import |
| Gemini | Browser Extension | One-click import |
| DeepChat | Built-in | Toggle in settings |
| Notion/Obsidian | AI-Now | Within AI Now session |
| Third-party Tools | RESTful API | Within the integrated tools |
See Integrations and AI Now for setup guides. See Getting Started for a quick start.
Next Steps
- Never Lose a Session → Backup entire AI conversations
- Search Through Time → Find what you knew when
- Integrations → Connect all your tools