NishMath

Recent developments in AI agent frameworks are paving the way for more efficient and scalable applications. The Jido framework, built in Elixir, is designed to run thousands of agents using minimal resources. Each agent requires only 25KB of memory at rest, enabling large-scale deployment without heavy infrastructure. This capability could significantly reduce the cost and complexity of running multiple parallel agents, a common challenge in current agent frameworks. Jido also allows agents to dynamically manage their own workflows and sub-agents utilizing Elixir's concurrency features and OTP architecture.

The core of Jido centers around four key concepts: Actions, Workflows, Agents, and Sensors. Actions represent small, reusable tasks, while workflows chain these actions together to achieve broader goals. Agents are stateful entities that can plan and execute these workflows. The focus is on creating a system where the agents can, to a degree, manage themselves without constant human intervention. Jido provides a practical approach to building autonomous, distributed systems through functional programming principles, and dynamic error handling.

ImgSrc: miro.medium.com

References:

• lobste.rs - Jido – Run 10k agents at 25KB each - 6d
• hexdocs.pm - Jido – Run 10k agents at 25KB each - 6d
• pub.towardsai.net - Exploring Voice AI Agents: A New Era in Human-Machine Interaction - 6d
• www.marktechpost.com - Meet Agentarium: A Powerful Python Framework for Managing and Orchestrating AI Agents - 3d

Classification:

• HashTags: AIAgents Automation LLMs
• Target: Automation
• Attacker:
• Product: AI
• Feature: AI Agents
• Type: AI
• Severity: Medium