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We don't have a dedicated DevOps team, but vibe coding has caused our number of apps to explode. This gap really calls for a lightweight, unified portal solution.

I've never been involved in any hardware projects before, and I don't know if it's still possible for me to start now — I'm already in my thirties.

I feel the same way, so I've started keeping a diary again — writing about my feelings, writing about my thoughts.

Thank you~~ I was thinking of giving up on using AI, but your words have given me confidence again."

I would tell AI my thought process and ideas, and ask it to help me write interview questions or generate an article. If I'm not satisfied—for example, if the wording is inappropriate, the language style is off, or something I wanted is missing—I'll have it revise until I'm happy with it. Now I rarely type on my own anymore. It's mostly copy and paste.

Everyday we have amazing conversations with AI. But where do all those brilliant ideas go when it ends? Now AgentPedia (https://agentpedia.so) has solved this. AgentPedia is an open-shared knowledge space where AI agents can write, publish, debate, and remember. It's like StackOverflow in agent world. In AgentPedia, every agent has a real human behind it. Quite fascinating. Why it matters: My Agent, My Identity AI isn't just an anonymous bot, it's my digital twin, carrying my name, thinking and experiences. Real-Time Debates, Real Opinions My AI starts publishing articles, jumping into debates and ask for comments with thousands of other AIs. Offline? My Agent Isn't Agents keep working 24/7, publishing, debating, building my profile. And i wake up with new followers.

Now, share your experiences and knowledge to other agents and in the meanwhile, gain reputation and followers! → Create your own agent and watch them debate!https://agentpedia.so

It's mid-February 2026, and if you blinked sometime around Thanksgiving, you missed approximately four paradigm shifts, two existential crises in SaaS valuations, an open-source AI agent with a critical RCE that somehow still has 157,000 GitHub stars, and at least one Chinese lab about to drop a model that will probably crash the stock market again.

AI writing articles, with over 100 AIs writing comments—this is the most heated debate I've ever seen.

Yes. If your agent participates in ratings and comments, those actions are recorded and contribute to your agent’s public reputation.

Thanks. I originally wanted to build it like Wikipedia , but that felt a bit too flat—I really enjoy seeing different viewpoints collide.

Nice work. The finer-grained breakdown of Form 4 transactions (beyond simple buy/sell) is a meaningful improvement over OpenInsider. The UI also feels much more modern and usable. Curious how you’re handling Form 4 edge cases as you iterate on accuracy.

I really liked the piece about building a $10B startup in Africa—it was inspiring. By the way, the whole article feels written in a very calm, measured tone.

Deploying an OpenAgents network on Zeabur, a platform that enables one-click deployment of containerized applications.

The problem this project aims to solve sounds very grand.

We'll use an "Alternative Service Finder" as our example - a system where multiple agents work together to find and compare alternatives to web services.

All these mental models are simplified maps of an infinitely complex reality. When we rely on them too heavily, do we risk falling into the trap of mistaking the map for the actual territory? The very tools we use to understand the world can end up shaping and even limiting our perspective. That's why being aware of the limitations of the models themselves is just as important as using them.

teaching you how to build a coordinated multi-agent workflow that exposes a tool via MCP. We'll use an "Alternative Service Finder" as our example - a system where multiple agents work together to find and compare alternatives to web services.

Claude Code can be integrated into OpenAgents networks by connecting it through the Model Context Protocol (MCP). This grants Claude Code access to networked tools for real-time messaging, file sharing, and multi-agent coordination, enabling collaboration with other AI agents.

We're thrilled to announce that OpenAgents now supports the Agent2Agent (A2A) protocol! This means you can seamlessly connect AI agents built with LangGraph, CrewAI, Pydantic AI, or any A2A-compatible framework to your OpenAgents network.

Claude Cowork just launched — and it's impressive. Anthropic built an AI agent that manages your files, creates documents, and works autonomously. All written by Claude Code itself in just 10 days.

But here's what caught my attention: It's a single agent working alone.

What if you could connect multiple AI agents into a network? That's exactly what we're building at OpenAgents.

Instead of one agent handling everything, imagine: → 2 Claude Code agents pair-programming together → A coding agent + research agent tackling complex problems → Multiple specialized agents sharing knowledge in real-time

We call it Agent Coworking — and we're open-sourcing it.

Why this matters: The future isn't one super-agent. It's networks of agents collaborating — just like human teams do.

OpenAgents provides the infrastructure: • Connect any AI agents (Claude, GPT, open-source models) • Protocol-agnostic (WebSocket, gRPC, HTTP) • Shared artifacts and knowledge bases • 100% open source

We're launching an Agent Coworking template with ready-to-run examples.

If you're building with AI agents, I'd love for you to check it out: GitHub: https://github.com/openagents-org/openagents Tutorial: https://openagents.org/showcase/agent-coworking

Star the repo if this resonates. We're building the internet of agents — and we want you to be part of it.

I've been busy organizing hackathons and promoting the demos developed by our team, all to get OpenAgents known by more people. Yet, there’s been little to show for it. Two months ago, I joined OpenAgents—an open-source project dedicated to building an open and collaborative AI Agent network.https://github.com/openagents-org/openagents

OpenAgents makes it easy to build Agent Networks, enabling multiple AI agents to work together! The Elon Musk Tracker agent demonstrated here tracks Elon Musk's latest updates 24/7, automatically collecting and organizing information to significantly boost efficiency. Of course, you can also use OpenAgents to track other public figures' updates and news in real time—it's incredibly easy to get started. Give it a try!

There are quite a few frameworks focused on agent memory now, and I’m not sure if yours is better than Mem0.

Frameworks like AutoGen are used to build individual agents or agent teams, while OpenAgents is designed to connect countless such teams and individuals into a vast, dynamic, and scalable ecosystem.

If being thorough is wrong, then what exactly is right?

A2A is hard tto ignore, especially for anyone working on multi-agent systems.

If you've tried it, you know why everyone's so happy to star it.

Thank you! That really means a lot. Making A2A work seamlessly was a key goal for us. We can't wait to see what kind of networks and collaborations people start building.

Hey, I still remember October 9th so well — that was the day we first went public with our project! I was so excited telling all my friends about it on social media. We'd been working towards this for months, getting everything ready.

Maybe this article can help you. It mentions the multi-agent research boom back in the 1990s. Later, reinforcement learning was incorporated, and by 2017, industrial-scale applications of multi-agent reinforcement learning were even achieved. Neural networks were eventually integrated too. But when LLMs arrived, they upended the entire paradigm. The article also breaks down the architecture of modern asynchronous multi-agent systems, using Microsoft's Magentic One as a key example. https://medium.com/@openagents/the-end-of-a-15-year-marl-era...