i-have-adhd vs OpenSearch Vector
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 reviewOpenSearch Vector
OpenSearch Vector is an open-source search and analytics suite that enables high-performance vector search for AI applications.
Read the full review| Attribute | i-have-adhd | OpenSearch Vector |
|---|---|---|
| Pricing type | Free | Free |
| Korean support | No | Yes |
| Platforms | Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, Cursor, Zed | Web, Desktop, API, CLI |
| Open source | Yes | Yes |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | - |
| Multimodal | - | Yes |
| AI model | - | - |
| GitHub Stars | 27.4K | 13.0K |
| Vendor | - | OpenSearch Project |
| 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
OpenSearch Vector key features
- High-performance k-NN search
- Support for HNSW and IVF algorithms
- Hybrid search (Lexical + Semantic)
- Real-time data indexing
- Scalability to billions of vectors
- Robust security and access control