A 7-Step Roadmap for Building OmniScientist, an Omni-Modal Multi-Agent Research Automation System
MaryamMiradi · x · 2026-09-07
The author lays out a production-oriented, 7-step roadmap for OmniScientist, an omni-modal multi-agent system for autonomous scientific discovery. Today's AI Scientist agents mostly reason over text, labels, code, or precomputed summaries; OmniScientist should work directly with images, signals, audio, video, 3D, trajectories, tables, formulas, and graphs.
Key steps:
- Data Intake Agent: ingest multimodal raw data, validate file type/metadata/source, and always keep originals (e.g., the full earthquake signal, not extracted features);
- Perception Agent: inspect the data before choosing what to study, letting observations shape the question, experiments, and final claims;
- Later steps cover hypothesis generation and experiment orchestration toward autonomous discovery (long-form post, excerpted).
Core thesis: raw omni-modal observations should flow through the entire scientific pipeline rather than arriving only as preprocessed summaries.
More from coding & agent
- GPT-6 Astra on Low Beats GPT-5.6 Sol on High, Devs Advise Lower Effort — reach_vb · 2026-09-07
- Codex Just Works, Scout Has the Ceiling, Cursor Might Beat Them All — pswider · 2026-09-07
- Agent flip-flops between computer use and MCP tools, Linus Ekenstam observes — LinusEkenstam · 2026-09-07
- After 115K videos in prod, engineer shares Gemini video-understanding gotchas and hacks — TheMoonMidas · 2026-09-07
- Astra's async tool calling is cool, but it asks questions as buried prose — nrehiew_ · 2026-09-07
- OpenAI to cut Cursor model access Nov. 12 after SpaceX's $60B Anysphere deal — shashib · 2026-09-07