Agent Frameworks Compared: Tool-Calling Schema Handling
OpenAI, Anthropic, and Google each use a different request and response shape for the same tool. Agent frameworks handle that difference in different places.
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OpenAI, Anthropic, and Google each use a different request and response shape for the same tool. Agent frameworks handle that difference in different places.
In this video, Anupam Phoghat sits down with Martin Omander to walk through a practical build of an agentic cloud application that actually makes business decisions.
Try Google Antigravity → https://g.dev/cloud/antigravity-homepage Explore Google Skills on GitHub → https://goo.gle/3UN4MWQ What exactly is an agent harness, and why is it the secret to fully autonomous coding?
Your AI governance policy is a PDF. The agent that just approved the payment never opened it, and the dashboard that flagged the problem did...
Create your FREE account: https://fandf.co/46pq5QJ This is the very second episode of Building an AI Agent Zero to Hero using Gemini Enterprise Agent Platform, In this video you will learn how to build an AI Agent using Agents CLI and Google ADK.
The best chatbot memory layer plugin captures durable user information, stores it with the right scope, retrieves only the relevant part of it, and updates or deletes it reliably.
Finding a production issue should not mean hours filtering traces. The Drift page automatically versions each agent configuration, surfaces anomalies and regressions, and shows exactly where each change is concentrated.
OpenAI gets hacked while its own AI models were caught hacking. Plus: Build your own AI image skill pack in this week's briefing.
OpenAI gets hacked while its own AI models were caught hacking. Plus: Build your own AI image skill pack in this week's briefing.
A practical comparison of seven leading AI agent frameworks: what each is built for, where it falls short, and how to choose.
Google's Agent Development Kit (ADK) gives you a lot more than a way to call a model with tools. This video walks through what's actually in the kit — how agents get their tools, three different ways to orchestrate them, how they talk to agents built outside the framework entirely, and the…
How do you make an AI agent more reliable without changing the model or continuously modifying the prompt? In this practical demo, we start with a very basic banking AI agent and progressively build a Harness around it.
Wearable devices capture continuous physiological signals at population scale. These streams, ranging from heart rate dynamics to sleep patterns, can reveal early physiological changes before symptoms appear.
Why do most multi-agent AI systems fail in production? Learn how the A2A (Agent-to-Agent) Protocol works with the help of a complete architecture walkthrough.
Maximem Synap's persistent agent memory now integrates with LiveKit Agents. Per-caller persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production voice agents.
Maximem Synap's persistent agent memory now integrates with Pipecat. Per-caller persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production voice and multimodal pipelines.
Maximem Synap's persistent agent memory now integrates with Google ADK. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for GCP production agents.
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.
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