| Iranti | Skill_Seekers | |
|---|---|---|
| Description | Persistent shared memory for AI coding agents. Stores facts as `entity/key/value` triples with hybrid semantic search, task checkpoints, and confli... | Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35... |
| Category | Knowledge & Memory | Knowledge & Memory |
| Language | Python | Python |
| License | — | MIT |
| Stars | 3 | 12816 |
| Website | https://github.com/nfemmanuel/iranti | https://skillseekersweb.com/ |
Iranti and Skill_Seekers are both MCP (Model Context Protocol) servers in the Knowledge & Memory category. Skill_Seekers has more community traction with 12816 GitHub stars compared to Iranti's 3 stars. Both are written in Python.