Peach: The Interaction-Oriented Multiagent Platform
Agents engage in business interactions with other agents
Agents take actions based on business semantics
Semantics-based guardrails prevent agents from taking harmful actions
Agents
Agents can invoke LLMs in their reasoning
LLM Agent, Plain Python, and other kinds of agent can exist in the same multiagent system
Agent defers decisions to humans based on semantics
Agents may communicate via diverse infrastructures, synchronous and asynchronous, e.g., blockchain, shared database, local state transfer
Focus on Business Meaning
Under the Hood:
Enables AI Agents to process contextual state changes directly via programmatic semantic hooks. Packed with real-time operational tracking.