The Onchain Engine for Agentic AI
Build onchain apps and automations that connect wallets, smart contracts, and 2,000+ tools you already use
For Businesses
Automate Operations On-Prem
Save time & resources setting blockchain tasks on autopilot
[01/05] FEATURES
Prompt It. Ship It. Trust It.
Go from idea to production workflow using pre-audited smart contracts and 300+ native nodes
Google Sheets: Get Values
Action
If-Then-Else
Logic
Token Price Trigger (CEXes)
Trigger
Visual Block Builder
Build, modify and track workflows with visual builder.
Your AI Copilot, Caddie
Prompt and edit workflows with sandboxed AI.
Expert Audited Code
B3OS produces code using pre-audited contracts, templates, and primitives built by the S-tier engineers.
Create Custom Solutions
Build deterministic workflows end to end with AI - Plan, Execute and Test.
[02/05] HOW IT WORKS
Your Flows Reliable, by Design.
Sealed Sandboxed Containers
No state leaks between runs. Strict version pinning and audit controls guarantee the same code runs the same way, always.
Self-Healing Execution
If a step fails, the engine doesn’t stop — it retries, reroutes, and finds an alternative path automatically. Your flow reaches its destination or tells you exactly why it couldn’t.
Real-Time Command Log
Every action is logged step-by-step, in real time. Watch flows execute live, replay any run, or surface logs directly in the chatbot interface. No black boxes.
Crypto-Native Context
B3OS holds deep operational context across blockchains, wallets, and DeFi protocols. Flows aren’t just blockchain-aware — they can reason and act onchain natively.
Secure Payments Logic
Payment flows are pre-audited and compliant. Built-in wallet management, role-based permissions, and safeguards ensure funds only move when — and exactly how — you specify.
Deterministic Output
The same inputs produce the same outputs. Every time. This isn’t a feature — it’s the architectural guarantee everything else is built on. Scale with confidence.
[03/05] INTEGRATIONS
Thousands of Integrations. Deep Context.
We codify operational context across blockchains, apps, and SaaS platforms, enabling deterministic, precision-based execution.
See More Integrations
DUNE SIM
GOOGLE SHEETS
TELEGRAM
QUICKBOOKS
GMAIL
NOTION
COINGECKO
COIN GLASS
“You probably don't want an agent. You want a workflow that thinks.”
— Wade Foster on AI (CEO of Zapier)
[04/05] WHY US
Built Different. Scalable. Deterministic.
Vibe Coding Breaks at Scale. B3OS doesn't.
B3OS vs AI agents and automation platforms
Deterministic Execution
Same input → same output
Yes
NoNo
Partial
Partial
No
NoCrypto / Web3 Context
Native blockchain awareness
YesNoNoNoNoNoNoScalable Automations
Holds up under production load
YesNoNoYesYesYesPartialAI-Powered Workflows
Prompt-driven flow creation
YesYesYesNoPartialNoNoNo-Code Builder
Visual block-based editor
YesYesNoYesYesYesPartial[01/04] LATEST POSTS
Dispatches from the control room.
Product notes, launch logs, technical breakdowns, and operating memos from the team building B3OS.
Apr 28, 2026 · 4 min read
The Future of Automation
If AI is the electricity of this era, the biggest opportunity isn’t the appliance built on top. It’s the grid. The orchestration layer that lets intelligence move through the world and do work. That layer is under-built, and that’s what we’re building with B3OS. Modern AI is a horizontal enabling layer. It can be used to improve everything. It will be in everything. This is most like electricity. These kind of horizontal layers like electricity and compute and now artificial intelligence, they
Apr 17, 2026 · 7 min read
Why B3OS
This article serves not only as a comparison to other automation/workflow platforms, but offers a peek into the thinking behind why we even built B3OS, in the first place. After hearing from hundreds of builders from all walks of life and from seemingly every industry, we’re confident we’ve identified an unserved gap when it comes to automation: the onchain layer. You Already Have Automation. It Just Doesn't Know What Blockchain Is. Zapier launched in 2012. By the time crypto was a mainstream
Apr 7, 2026 · 4 min read
Reliable Rails for Unreliable Agents
In just one year, engineers have gone from writing code to entrusting AI to write the vast majority of it. The pace is exciting yet nerve-wracking because as developers put more faith in AI, the systems underneath need to actually work. Payments and crypto cannot be built on a house of cards. Two things feel like common sense to me as AI usage continues to increase. 1. Software must become more modular - Lego pieces that AI can pick up & use. 2. The probabilism of AI must be balanced with de
Apr 7, 2026 · 4 min read
We Didn't Mean to Build an AI Automation Engine: The Origins of B3OS
Many of the best products we use today started as fun experiments, often peripheral to the team's main focus. Slack started as a browser game - the game failed, but the internal messenger grew to become a $27B company. Facebook began as a quirky (controversial) experiment at college that evolved to revolutionize our entire social world. Across so many successful startups, experimentation and play leads founders to uncover PMF. When Glitch failed to gain a sustainable audience, the team realized