444 stories
Microsoft Copilot helps one person work faster inside Microsoft 365. Mindra is a coordinated AI department that runs cross-tool workflows end to end. Here is the honest difference, and why many teams use both.
ChatGPT is the best general-purpose chat assistant for thinking, drafting, and one-off help. Mindra is an AI department that does the work across your tools, with governance, reachable from email, Slack, and the web. Here is the honest difference, and how they work together.
You should not have to wire up agents one by one. Describe the goal in plain language and a coordinated AI team forms around it. Here is exactly how hiring an AI department with one prompt works.
RPA bots follow exact steps and break when anything changes. AI agent teams reason, adapt, and work across tools. Here is when to use each, and how teams are migrating from brittle bots to an adaptive AI department.
Engram, Weaviate's managed memory and context service for agentic applications, is now generally available.
At DigitalOcean Deploy 2026, DigitalOcean and NVIDIA discussed industry trends in open-source AI and how developers can run agentic AI.
Learn the difference between AI agents and AI workflows, when to use each approach, and how to combine them to build reliable AI automation systems.
Maximem Synap's persistent agent memory now integrates with CrewAI. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for multi-agent production workflows.
Maximem Synap's persistent agent memory now integrates with AutoGen. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for Microsoft multi-agent production systems.
everyone talks about memory systems, retrieval pipelines, orchestration layers, token optimization, multi-agent workflows. all these frameworks. some of it's useful.
Your AI agent works perfectly. Until it refunds $20,000 instead of $2,000 at 3am, with no human watching. Or a scammer crafts a message that tricks it into sending money to a fraudster. No amount of self-critique catches this.
In Mozaik, streams are semantic events other agents can react to.
Production logs aren't observability for multi-agent AI. kaleidoskop replays every Mozaik orchestration as a scrubbable hex grid — bus events ripple, agents light up, you find the moment that broke the run in seconds.
Mozaik v3.10.0 puts stream output in the AgenticEnvironment as Semantic Events — so other agents can intercept inference before the message is done.
With Oz, engineering teams can now integrate, orchestrate, control, and improve any cloud agent at scale including Claude Code, Codex, Warp Agent, and whatever comes next.
We asked agents in Google Antigravity 2.0 to build a functional operating system capable of running FreeDoom, from the kernel to the process and memory…
You've built an Orchestrator that can plan/replan its own steps. That’s powerful, but it can't judge its own work. If it generates broken code or misses a key detail, it just hands that bad first draft straight to your user. In this video, we're looking at the Evaluator Loop.
Orchestrator == LLMs That Plan Themselves If your AI workflow breaks the moment a task becomes unpredictable, you are stuck in a pipeline. Here is how to fix it by moving some of your your control flow out of your code and into the LLM. In this masterclass, we break down the Orchestrator Pattern.
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