One memory.
Every AI tool.
Build context in Cursor. Use it in Claude. Finish in ChatGPT. Memly gives all your AI tools a shared, persistent memory layer.
Memory Everywhere
One memory layer. Every tool connected.
Switch IDEs mid-task. Your AI still remembers. No sync, no export, no setup — just persistent context, everywhere.
Memly
Persistent across sessions
Close the chat, restart your IDE — your context is still there next time. No manual saving.
Same memory, every tool
Start in Cursor, continue on ChatGPT, finish in Claude. One unified memory across all your AI tools.
Branch-aware context
Switch branches, switch projects — Memly tracks context per codebase, not per session.
Compatibility
Works with your favorite tools
Any OpenAI-compatible client works today. Browser extensions for AI web chats coming soon.
Code Editors
Agents & CLI
AI Web Chats
The problem
AI coding assistants are powerful — but forgetful
Hallucinated code
AI invents APIs, wrong file paths, and non-existent functions in your project
Wasted tokens & time
Pasting files into context and re-explaining your stack on every conversation
Memly fixes this
Persistent memory that automatically injects relevant code into every prompt
See the difference
Same prompt. Completely different result.
How does our auth middleware validate tokens?
You can use express-jwt middleware to validate tokens. Install it with npm install express-jwt and configure it in your app.js file...
✗ Wrong framework. Wrong file. Generic answer.
How does our auth middleware validate tokens?
Based on src/proxy/middleware/auth.ts, your Hono middleware uses Supabase JWT validation with Ed25519 signatures. Rate limiting is set to 60 req/min per user_id...
✓ Correct framework. Correct files. Project-specific answer.
Benefits
AI that actually understands your project
Grounded in your actual code
Every response is backed by real code from your project — actual implementations, patterns, and conventions. Not generic StackOverflow answers.
Stop re-explaining your codebase
No more pasting files into context. Memly injects exactly the right snippets — you save tokens on every prompt and get faster responses.
Your AI never forgets
Close the chat, switch branches, restart your IDE — context persists. Past conversations, decisions, and patterns are always available.
Invisible to your workflow
Binary HNSW vector search + Redis caching. Context retrieval completes before the LLM starts generating. Zero friction, zero wait.
Setup
One setting. 30 seconds.
Change your AI provider's base URL in your IDE settings. No plugins, no extensions.
Comparison
Honest Side-by-Side Comparison
Mem0 is great infrastructure. Memly is a great product. Here's the difference.
| Aspect | Memly | Mem0 |
|---|---|---|
| Target User | Developers using AI tools | App builders integrating memory |
| Setup Time | 2 minutes (change Base URL) | 30+ minutes (code integration) |
| Multi-IDE Memory | Yes — Same memory across Cursor, ChatGPT, Continue | No — Each integration is separate |
| Team Collaboration | Yes — Shared team memory per project | No — Single user only |
| Tool Results Capture | Automatic — Captures code from IDE tools | Manual — Must explicitly add to memory |
| Cross-Project Search | Yes — #memly search[other-project] | No |
| SaaS Product | Yes — Billing, orgs, dashboard included | No — Infrastructure only |
| Best For | Individual devs & teams wanting instant memory | Companies building AI apps with memory features |
Under the hood
Production-grade architecture
A sync proxy (<200ms) injects context into every prompt. An async worker learns from every conversation in the background.
Intercept
Proxy receives the prompt, validates auth, identifies your project
Inject
Vector search finds relevant memories, scores and injects up to 2048 tokens
Learn
After streaming, the response is chunked, vectorized, and stored for next time
View detailed request flow diagram
Technical
Built for production, not a toy
Enterprise Security
RLS on every table. AES-256 key encryption. Ed25519 offline license validation.
pgvector + Binary Quantization
1024-bit binary vectors. HNSW index with Hamming distance. <10ms search.
Self-Hostable
Run on your infrastructure with Docker. BSL licensed. Free personal license forever.
View on GitHubOpen Source
Full source code available. Contribute, audit, or fork. Community-driven roadmap.
View on GitHubPricing
Simple, transparent pricing
A "request" = one prompt sent through Memly (a single chat message in your IDE).
Free
≈ 16 prompts/day
For individual developers
- 500 requests/month
- 1M tokens stored
- 1 seat
- Community support
Pro
≈ 330 prompts/day
For power users
- 10,000 requests/month
- 20M tokens stored
- 1 seat
- Priority support
- Usage analytics