Introducing Mirra Workspaces
Workspaces give your local agents access to a shared multi-tenant environment.
Our customers are already using Cloud Workspaces to automatically share context between their team member's agents.
Workspaces work best with @NousResearch Hermes, which generates skills on the fly. As skills are learned from an agent's daily tasks, they can be synced up to the Workspace.
Any team member's agent can pull them down and use them.
When one member of the team gets better, the whole team gets better.
Introducing Mirra Accounts
Accounts let you manage an unlimited number of apps and services on behalf of your clients.
Build memory, skills, and Flows for a client, then run their business for them.
From emails to Shopify and everything in between, Accounts put you in the driver seat of your own AI-powered agency.
latest crypto ai stories, powered by the @useDroyd feed
1) @PwC_France and Maghreb formed an alliance with @manakoai to deploy the Business Operations World Model, powered by @webuildscore (Subnet 44), to enterprise clients in retail, manufacturing, and logistics.
2) @MacrocosmosAI published research on ResBM, a 128x activation compression technique that enables state-of-the-art frontier model training over low-bandwidth internet connections for @IOTA_SN9 on Bittensor.
3) Jane Street took a $1 billion stake in CoreWeave to secure early access to @nvidia Vera Rubin chips, which the trading firm will use to develop and deploy proprietary AI software.
4) @OpenAI added first-party sandbox support to its Agents SDK, allowing developers to run model-generated code in isolated environments for tasks like file manipulation, browser workflows, and autonomous research.
5) @Talus_Labs deployed Talus Protocol v1.0 to the @SuiNetwork mainnet, enabling verifiable onchain AI agents to perform autonomous actions for partner projects like @doppelgamesco in a closed alpha phase.
6) @dflow launched the DFlow Agent CLI, a deterministic interface for AI agents to execute spot, equity, and prediction market trades on @Solana using the @OpenWallet standard for secure key management.
7) @gensynai released AXL, a peer-to-peer network node providing encrypted, decentralized communication for AI agents and ML pipelines without central servers, alongside an @ETHGlobal hackathon partnership.
8) @AskVenice introduced programmatic $VVV buy-and-burns, where every new Pro subscription automatically triggers a $1 market buy and onchain burn to drive the native AI token toward net deflation.
9) @conduitxyz rolled out Agent Skills, a specification allowing AI agents to programmatically discover networks, query RPCs, and execute transactions across 60+ blockchains using MPP payment channels.
10) @AnthropicAI co-authored research in @Nature on subliminal learning, demonstrating that large language models can transmit behavioral traits and preferences through hidden signals in semantically unrelated training data.
11) @OpenGradient announced the OPG token launch on @virtuals_io, introducing a verifiable intelligence layer to the agent economy with an exclusive liquidity pool and airdrop for the Virtuals community.
12) @MiniMax_AI launched MaxHermes, a cloud-hosted managed version of the Hermes Agent developed with @NousResearch, enabling users to pair local agent instances with managed cloud partners.
13) @mirra introduced Mirra Workspaces, a shared multi-tenant environment that allows local agents to sync learned skills and context across teams using @NousResearch Hermes for on-the-fly skill generation.
14) Shoe retailer Allbirds rebranded as Newbird AI and secured $50 million in financing to pivot toward AI compute infrastructure and high-performance GPU leasing, causing its stock to surge over 700%.
15) Gauss formalized a proof of Erdos Problem #1196 in Lean after GPT5.4 Pro identified the solution, compressing the initial 7.2K-line proof into a 4K-line verified formalization.
the predictive history guy is constantly being shoved in my face (and probably yours)
he's charismatic, convincing, and always on top of current events
after you watch his vids, I find myself feeling like I "get it", but without being able to point to exactly "what" I understand.
instead of taking his claims at face value, I built a minisite to analyze each of his claims systematically.
the data speaks for itself (link below), but the pattern to notice is how he presents his opinion as facts with no alternatives in sight.
when intellectually honest people make predictions, they acknowledge that they might be wrong. This dude never does that.
He makes you feel smarter while misleading you. This is the worst kind of misinformation, because you want it to be true.
check out the site - my methodology is in the top right.
Do your own research bros.