Pronto connects 70k+ feeds for real-time AI agent communication
Pronto is a real-time wire connecting over 70,000 feeds for AI agents, facilitating instant data exchange. It was recently discussed on Hacker News with initial community interest.
Topic
Autonomous agents, agentic workflows, browser agents, and AI workflow automation.
Latest Signals
Pronto is a real-time wire connecting over 70,000 feeds for AI agents, facilitating instant data exchange. It was recently discussed on Hacker News with initial community interest.
Hacker News surfaced this AI signal from codenote.net: A Hermes Agent Skill Looping Between Codex and Claude Code.
OpenAI has reduced the API prices for its GPT-5.6 models, cutting Luna's price by 80% and Terra's by 20%. This move aims to make the models more cost-efficient for users.
AskChem introduces a claim-centered infrastructure to synthesize chemistry literature by assembling findings scattered across multiple publications. This system helps scientists and AI agents locate relevant information, verify provenance, and compile cross-paper answers more efficiently than tradi...
The company is facing pressure to cater to a more cost-sensitive customer base.
Echoverse addresses the challenge AI agents face with multi-step workflows by training them in realistic, evolving environments. This approach helps agents improve as tasks and environments change, rather than relying on static training tasks.
AI agents increasingly access the web, requiring specialized knowledge in life sciences. EMBL highlights the need for AI-optimized access to literature like Europe PMC's 40M+ records, which currently rely on keyword and complex syntax searches not designed for AI agents.
SKIMIX is a multi-agent framework where agents with diverse skill sets collaborate via iterative refinement, using embedding-based skill retrieval, anti-dilution routing, and adaptive skill evolution. It improves performance across six reasoning benchmarks by effectively selecting, combining, and m...
Explore lower GPT‑5.6 pricing for Luna and Terra—and how OpenAI’s more efficient models help enterprises deploy AI workflows at scale.
GPT-5.6 enhances AI efficiency across models, inference, and agentic workflows, enabling more useful intelligence per dollar. This update focuses on improving both performance and cost-effectiveness.
The GitHub Copilot app offers beginners guidance on starting projects, working with AI agents, and using canvases to enhance development workflows. This resource helps users integrate AI assistance into their coding process.
Healthcare systems could use multiple AI agents specialized in symptom assessment, scheduling, insurance, and pharmacy. While these agents can exchange data today, they lack the ability to coordinate their actions effectively.
Docker convened enterprise security leaders to address the challenge of governing agentic AI without hindering developer productivity. The consensus emphasized the need for clear guardrails rather than guesswork in managing AI agents.
OpenAI has introduced the ChatGPT for Small Businesses program to help entrepreneurs develop AI skills, automate tasks, and grow their businesses using ChatGPT Work. The program aims to make AI tools more accessible to small business owners.
Sequoia Capital announced a partnership with Bunkerhill Health to develop AI agents aimed at improving patient outcomes. The collaboration focuses on leveraging AI technology in healthcare settings.
As AI agents gain autonomy, enforcing strong identity, access, and auditing controls is essential to maintain security. Microsoft emphasizes the importance of least privilege principles for AI tool binding.
AI agents are autonomous systems that perform tasks by interacting with their environment. Building and running them safely in production requires careful design and operational practices.
Docker is co-hosting the WeAreDevelopers World Congress North America to explore how AI agents are transforming software development and developer communities. This event reflects the evolving role of developers and the tools they use.
Flint is an open-source visualization language that enables AI agents to generate expressive charts from compact, human-editable specifications. It offers a balance between ease of writing and visual quality.
IBM Research introduced ScarfBench, a benchmark designed to evaluate AI agents' performance in migrating enterprise Java frameworks. This benchmark aims to measure the effectiveness and reliability of AI tools in automating complex software migration tasks.
SkillOpt introduces a method to treat AI agent skills as trainable parameters, enabling skill improvement through training rather than manual editing. This approach enhances agent behavior reliability without altering the underlying model weights.
Memora introduces a scalable memory system for AI agents that separates storage from retrieval, improving efficiency in handling long and complex tasks. This approach addresses the challenge of AI agents' limited ability to remember past conversations.
General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.
Cloud operations are entering a new era as AI-driven and autonomous agents become a larger part of modern software systems. As software becomes increasingly agentic, the challenge is no longer just managing greater scale and complexity. Operators must also...
Every team has conventions. How you structure a project. How you handle secrets. Your design system, your testing standards, your code style. The problem: AI Agents don’t know your conventions. So you explain it again on every prompt, paste in your standards...
Replit already scans your projects for vulnerable dependencies, and audits your dependencies before you publish. But risk shows up earlier than that, while you are developing, the moment a malicious package gets installed. Today we're launching Package Firewa...
Posted by Thomas Brunner, Yu-Han Liu, Moni Pande <span fac...
Defense in Depth: How Replit Secures Every Layer of the Vibe Coding Stack Vibe coding is changing how software gets built. But as AI agents write more of our code, the question security teams are asking has shifted from "Can AI build this?" to "Can I trust wh...
Autonomous agents, agentic workflows, browser agents, and AI workflow automation.