A field guide to the blockchain-AI Venn diagram
A curated list of projects trying to decentralize, monetize, or otherwise ledger-ify machine learning.

What it does This is an awesome-list that catalogs roughly two dozen projects and a dozen academic papers at the intersection of blockchain and AI/ML. It sorts them into buckets: algorithms, data marketplaces, compute marketplaces, finance, medicine, supply chains (empty), autonomous agents, and research papers.
The interesting bit The list is a useful temperature check on which buzzwords are still breathing. You can watch the field evolve from 2017-era “decentralize all the things” (SingularityNET, OpenMined) to 2024-era “AI agents with on-chain identities” (Hashgraph Online, AgentFund). The academic section is arguably the most concrete part—actual papers on proof-of-learning consensus mechanisms and energy-recycling blockchains.
Key highlights
- Covers live projects (Bittensor, Fetch.ai, Ocean Protocol) alongside dormant ones (Raven Protocol, Thought Network)
- Includes Microsoft’s 0xDeCA10B framework for training models inside smart contracts
- Academic research section spans 2019–2021, heavy on “proof-of-useful-work” variants
- CC0 license—no attribution friction if you fork it for your own research
- Supply chain section is currently blank, which is its own kind of signal
Caveats
- Curation appears static; no clear update cadence or last-reviewed date
- Project descriptions are mostly copied from marketing copy, not independently verified
- Some listed projects use words like “revolutionize” unironically (the README quotes them faithfully)
Verdict Grab this if you’re writing a literature review or trying to distinguish the dozen legitimate projects from the hundreds of whitepaper graveyards. Skip it if you want working code—this is a signpost, not a toolkit.