Toitoi - Digital Agroecology Commons
A distributed inquiry infrastructure where farmers connect through questions, observation, and ecological curiosity.
Toitoi is not an agricultural optimization platform.
It is a living public library of unresolved ecological questions.
What is Toitoi?
Toitoi is an experimental decentralized commons for agroecology.
Instead of extracting farmers’ raw data into centralized AI systems,
Toitoi helps local observations and unanswered questions circulate across regions.
A farmer notices something unusual in the field.
Edge AI transforms that observation into a shareable ecological question.
Another farmer encounters it, reinterprets it through a different climate or soil condition,
and generates a new line of inquiry.
The AI inside Toitoi does not primarily behave like a supervisor or optimization engine.
It behaves more like:
- A librarian connecting contexts and inquiries
- A mycelial network linking distributed experiences underground
Toitoi is designed to amplify human observation rather than replace it.
- Demo web app: https://toitoi.cultivationdata.net/demo_app.html
Core ideas
- Edge AI first — AI runs locally on farmers' devices.
- Zero raw data sharing — sensor data and notes remain local.
- Questions over answers — unresolved observations and uncertainty are treated as valuable public knowledge.
- Reference over optimization — AI connects contexts instead of imposing conclusions.
- Decentralized by design — built on Nostr instead of centralized platforms.
- Open-source commons — anyone can inspect, fork, and build on the ecosystem.
How it works
- Edge AI analyzes local sensor data and observation notes on-device.
- The device generates ecological questions from detected patterns.
- Only the generated questions are signed and shared via Nostr (Kind: 1042).
- Questions connect across regions and gradually form a distributed ecology of inquiry.
Inquiry Ecology
In Toitoi, questions are not disposable search queries.
- Some questions remain dormant for years.
- Some branch into new ecological investigations.
- Some migrate across climates and cultures.
- Some accumulate observations like annotations in a public library.
Toitoi explores whether agricultural knowledge can behave more like a living ecosystem than a centralized database.
Why it is interesting
Most agricultural platforms attempt to centralize and optimize data. Toitoi explores the opposite direction.
- Can unanswered questions become a commons?
- Can AI support agriculture without becoming an authority?
- Can farmers share inquiry without surrendering ownership of their raw observations?
- Can ecological knowledge behave like mycelium?
- Can agriculture become a living public library of observation?
Example questions
Rows left with legume weeds tend to have delayed aphid outbreaks. How do legumes and rhizosphere microbes influence pest resistance in nearby vegetables?
Crops grown after leaving residues on the soil surface developed shallow but wide root systems. How does undecomposed organic matter reshape underground fungal networks?
A fallow field suddenly shifted from grasses to aster-family plants. What invisible microbial transition might this vegetation change reflect?
Open Source
Toitoi is developed as open-source software (OSS).
Source code, protocol specifications, and APIs are publicly available on GitHub.
- GitHub Repository: https://github.com/nkkmd/Toitoi/
Public relay servers and API
The following endpoints are currently available as alpha network infrastructure.
Relay server
- wss://relay.toitoi.cultivationdata.net
API (reference)
- https://api.toitoi.cultivationdata.net
Administrator SNS accounts
- X: @nkkmd
- Bluesky: @cultivationdata.net
- Nostr: npub1keed853sty3zmautnrnhf64ta4ghcnky44jc7v7ym7qgnjm7am4qdk7kr6
Toitoi - Digital Agroecology Commons / "Letting Go of Technology in Agriculture" / cultivationdata.net