i-have-adhd vs Mem0
A side-by-side comparison of features, pricing, and characteristics.
i-have-adhd
An open-source skill that makes coding-agent responses concise, actionable, and ADHD-friendly.
Read the full reviewMem0
Mem0 is a universal, self-improving memory layer for LLM applications, enabling AI agents to remember user interactions and preferences over time.
Read the full review| Attribute | i-have-adhd | Mem0 |
|---|---|---|
| Pricing type | Free | Free + paid (from $19/mo) |
| Korean support | No | Partial |
| Platforms | Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, Cursor, Zed | Web, Python SDK, Node.js SDK |
| Open source | Yes | Yes |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | Yes |
| Multimodal | - | Yes |
| AI model | - | - |
| GitHub Stars | 27.4K | 58.2K |
| Vendor | - | Mem0 |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
i-have-adhd key features
- Presenting answers and next actions first
- Structuring multi-step tasks into numbered lists
- Redisplaying progress at every turn
- Providing specific time estimates
- Explaining errors focusing on location, cause, and solution
- Suppressing unnecessary introductions and conclusions
Mem0 key features
- Self-improving memory layer
- Memory compression engine
- Graph memory