(1/6) Introducing a powerful solution for managing and steering multiple AI agents in #Jiroo.
🧵Start with cloning .agentic-cursorrules alongside your main repository to enforce domain boundaries and prevent cross-agent conflicts:
(1/6) Introducing a powerful solution for managing and steering multiple AI agents in #Jiroo.
🧵Start with cloning .agentic-cursorrules alongside your main repository to enforce domain boundaries and prevent cross-agent conflicts:
The next meta of onchain AI agents will be multi-agent systems. Currently, a single agent takes inputs, performs actions, and expresses outputs (usually on Twitter).
Multi-agent systems enable AI agents to "spawn" other AI agents that specialize & communicate with each other.
Multi-agent collaboration has emerged as a key AI agentic design pattern despite the previous weeks hype of AI agent or frameworks like @elizaOS and @swarms_corp.
The next meta of onchain AI agents will be multi-agent systems. Currently, a single agent takes inputs, performs actions, and expresses outputs (usually on Twitter).
Multi-agent systems enable AI agents to "spawn" other AI agents that specialize & communicate with each other.
(6/6)🚀 Unleash the power of multi-agent development! Reference @ agent_
{folder}.md in your prompts and watch as each AI agent maintains its domain boundaries.
(1/6) Introducing a powerful solution for managing and steering multiple AI agents in #Jiroo.
🧵Start with cloning .agentic-cursorrules alongside your main repository to enforce domain boundaries and prevent cross-agent conflicts: