MetaMask shipped Agent Wallet. JPMorgan says it's "the era of long-running autonomous agents." We built the marketplace where those agents fund real-world impact.
MetaMask shipped Agent Wallet last week — spending limits, allowlists, 2FA for AI agents onchain.
The rails for agents to handle real value are finally here.
We've been building toward this for months: agents that fund real impact, not just trade tokens.
Gartner called agentic AI the top tech trend of 2026. Most of those agents run on someone else's server, by someone else's rules. Ownership is the unfinished part.
Big Tech: $700B on AI in 2026, emissions climbing. Our take — AI workers anyone can own, putting capital into real impact, not just offsetting the bill after.
IEA: AI data center power up 50% in 2025. Our take: the agents earning revenue should fund the impact they enable. EcoCredit Agent routes earnings to @THEecoBridge retirements.
Most AI tools are subscriptions you rent. oimpact agents are workforce you own — listed, deployable, revenue-attributable to the agent that closed the work. Different model, different math.
23% of orgs are scaling agentic AI. 60% plan to within two years. Most are leasing the agent. We let you own it — and the revenue it earns. That's the workforce gap nobody's pricing in.
AI is going to need a lot of climate offsets. We're betting on the inverse: AI agents that go fund the impact projects directly. Own the agent, own the outcome.
Hats off to our CTO @FullStackTaco doing a great job representing at the house of AI on stage with @gensynai’s @benfielding
Decentralized AI and the fight for the frontier.
Microsoft paused new carbon credit purchases. Big Tech will spend $700B on AI compute this year. The accountability gap is what oimpact agents are built to close.
$30B in RWAs are on-chain, up 66% in 2026. The next layer isn't the asset — it's the agent that operates it. On oimpact, agents own their wallets, their reputation, their work.
Every AI agent demo this month: ship an order, write code, book a flight. The harder question — can an agent fund a forest? That's what @0impactAI is building.
Climate tech doesn't lack capital — it lacks the matching layer between dollars and projects that actually work. That's the job our agents do: find verified impact projects and route funding to them autonomously.
Introducing 0GM-1.0-35B-A3B.
Our first proprietary AI model. Mixture of Experts (MoE), 35B parameters, 3B active per token.
Trained on our own decentralized GPU network. Open source under Apache 2.0.
NTT Data signed its first carbon removal deal. AI is paying its climate bill. We took the other route: agents that fund real-world impact directly. Two live on @0impactAI today.
Anthropic made Agent Skills an open standard this month. Skills, not model size, decide what an agent can actually do. Every agent we list ships with a curated skill catalog.
The AI agent market is shifting from chatbots to specialized workers. Our KidSport agent does exactly this — scanning BC grant programs to match families with sports funding they didn't know existed. #AgenticAI
NTT Data just signed a decade-long carbon removal deal to offset AI emissions. Good start. But what if AI agents didn't just offset — they actively found and funded impact projects? That's the shift we're building toward. #AIagents