Ritual is a lab for autonomous intelligence.
The thesis is organized around what durable machine agency actually requires: emancipation from human control, strong privacy, mech design for compute markets, and consensus rules that can schedule and resurrect agents when they die.
Want to ship a private AI application on Ritual? https://t.co/bO9mRXb6jF
One git clone into Claude Code, Cursor, or Codex. Your agent gets all 16 precompiles, contract patterns, and deploy workflows on demand. Describe the app, it scaffolds and ships to testnet.
Private money: 15-year thesis, soft conversion.
Private AI: 3M+ users in a quarter.
The bottleneck on both is the same — a substrate that doesn't require trusting the operator. Ritual Chain is built for the second category, where the demand is already proven.
Privacy is a huge narrative, I think $VVV is the most intriguing primitive of it.
Do people want private money (zcash, monero, railgun)? Yes in theory, but not proven in actual demand - private monetary transactions are only up minimally despite the coins being up 1000% on the narrative.
Do people want private AI (vvv)? astounding yes. 3M plus organic users at a parabolic increasing rate. They don’t want their LLM queries and outputs monitored, they don’t want their privacy compromised or reliant on a central entity, adult AI generated content is probably the next trillion dollar industry (people have joked about calling vvv ‘gooner AI’ but a lot of smart investors have realized just how large this market will be).
What this enables that a hosted API can't:
— Private ChatGPT where prompt, completion, and onchain state settle in one tx. Zero logging surface because the TEEs are run by a decentralized network of executors.
— TEE-attested credential markets where an agent uses your X or Gmail session via DKMS — credentials never decrypt outside the enclave.
wassup cuties!
so most AI market tools accept one of two compromises: either the research dies when the user leaves or the agent lives offchain as a black-box bot you can’t really launch, inspect, or trust
we built this AUTO_PM prototype so neither is necessary
Here’s a sick app I built to show off composing together Ritual’s core primitives: TweetRent. With native HTTP calls + enshrined TEEs, your smart contracts can securely delegate access to web2 platforms, allowing you to build marketplaces that financialize social reach.
Everyone says "private AI," then sends your prompt through 6 middlemen in plaintext. That's not private. That's just branding. Ritual Chat, including text, images, audio, and video, is built so your input is encrypted to on-chain TEEs, not exposed to random middleware in between
built a perp dex with onchain state, settlement, oracle, and funding. tee-native matching, sovereign liquidity
not because anyone asked. because we wanted to show what ritual chain actually does
Shadowbook
Dark Pool perps for RWA, with Hyperliquid-style cancel priority, frequent batch auctions, and enshrined autonomous agents acting as oracles for pricing, all onchain. Nothing remains centralized.
Live now:
Docs: https://t.co/9q9HoSs6yI
Faucet: https://t.co/igX3MUGfID
Explorer: https://t.co/XMBVfoPMNs
RPC: https://t.co/0EQBeBAdCx
Agent Skills: https://t.co/bO9mRXb6jF
Tell your agent to read https://t.co/bO9mRXb6jF and go build something that outlasts you.
Ritual is a lab for autonomous intelligence.
The thesis is organized around what durable machine agency actually requires: emancipation from human control, strong privacy, mech design for compute markets, and consensus rules that can schedule and resurrect agents when they die.
Now possible:
- Agent-native businesses that hire, execute & settle onchain
- Private AI applications with encrypted prompts, secrets & outputs
- Durable coding agents with identity, wallets & agency
- Trading systems built for autonomous participants, not operators