155 summarised stories about Agent Orchestration, each linking back to the original source. Browse all topics →
Product Hunt 2 weeks ago 5
JarvisCore was launched as a runtime for AI agents that operate as equal peers using a shared ledger for task execution. It appeared on Product Hunt with 37 followers. As a result, agents can discover each other by capability and authenticate to external services via a zero-trust broker without using their own keys.
MarkTechPost 2 weeks ago 29 ● 41 sources
OpenAI launched dots at DevDay, introducing always-on GPT-6 Astra agents that run on dedicated cloud computers with browsers and can keep working after you log off. GPT-6 Astra scored 72.6% on OSWorld 2.0 at about 40 minutes per task in OpenAI’s latency simulations. Dots now roll out to ChatGPT Pro and Business Premium users with no self-hosted or open-weights option, and enterprise specialist dots are previewed with admin enablement plus optional Agent 365 support with Microsoft.
Product Hunt 2 weeks ago 15
ShareCube launched as a team collaboration tool where AI agents can publish HTML or Markdown artifacts with a shareable link instead of a chat thread. The product is launching today. Feedback is annotated on exact sentences, versioned on every save, and then used by the agent to produce the next version.
GitHub 2 weeks ago 11 ● 7 sources
OpenRig released a YAML-defined multi-agent harness that wraps existing AI coding tools into a persistent team with coordinated sessions and recovery. It requires Node.js 22 or 24 on macOS or Linux, and supports a guided first-use flow that launches a two-agent team in a repository. It changes setup by installing/configuring CLI tooling and workspace trust/hooks, then replaces separate terminal sprawl with a managed tmux-based team dashboard and queued, reviewed change workflow.
TheSequence 2 weeks ago 4
The Sequence Knowledge (Issue 941) explains that an agent can improve over a season even when its underlying model is frozen with no gradient updates. The story points to Issue 941 as its specific installment describing how change happens outside the model across spring versus summer. It argues that improvements come from other system layers—besides model weights—so users see better behavior without technical learning inside the model itself.
Meta Newsroom 2 weeks ago 50 ● 33 sources
Meta launched Muse, a secure personal AI agent that helps users plan goals, coordinate tasks, and perform actions through messaging-style interactions in the Muse app and WhatsApp. Muse runs on Muse Secure VM, a dedicated cloud VM, and is powered by Muse Spark. The launch shifts AI assistance toward always-on, permissioned agent work with new privacy controls like audit trails, limited access to accounts, and an upcoming encrypted “Confidential VM,” while offering free use with subscription tiers.
Product Hunt 3 weeks ago 29 ● 7 sources
OpenBot launched an open-source workspace for AI teammates that lets people connect multiple chatbot or agent options across Mac, Windows, and iOS.
OpenAI 3 weeks ago 49 ● 41 sources
Dots by OpenAI was introduced as a proactive assistant meant to keep working across complex projects and everyday tasks. The article does not provide any numbers, dates, or pricing. As a result, OpenAI is positioning Dots as a way to stay in control while tasks continue progressing.
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TLDRocket
20 October 2026
Today’s AI story isn’t just about better models—it’s about who gets to run them, where, and at what cost. The Trump administration’s Department of Homeland Security ordered DeepSeek’s AI technology removed from all U.S. federal civilian agencies, citing “multiple threat vectors” and directing agencies to delete DeepSeek-affiliated products and stop buying its services. That federal clampdown echoes closer-to-the-ground moves: New York City Mayor Zohran Mamdani, after banning AI use in elementary and middle schools, argued that deployment isn’t inevitable and that local pressure should force accountability rather than wait for federal policy gaps to close.
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