agentfield and solace-agent-mesh
These are **complements** — Agent-Field provides a microservices-oriented runtime for individual agents with identity and observability, while Solace Agent Mesh offers event-driven orchestration and integration with external data sources, so you could use Agent-Field agents as the compute units managed and connected by Solace's messaging and orchestration layer.
About agentfield
Agent-Field/agentfield
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
Provides a control plane that routes agent calls through REST APIs with built-in structured output validation (Pydantic/Zod schemas), human-in-the-loop pause/approval workflows, and cross-agent discovery. Supports Python, Go, and TypeScript SDKs; agents auto-register with cryptographic identity and produce tamper-proof audit trails. Features async execution with webhooks, canary deployments with traffic splitting, and integrated memory (KV + vector search) without external dependencies.
About solace-agent-mesh
SolaceLabs/solace-agent-mesh
An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
Built on Google's Agent Development Kit (ADK) and Solace AI Connector (SAC), it uses the Solace event broker as transport for Agent-to-Agent (A2A) protocol communication, enabling dynamic peer discovery and task delegation. Key capabilities include automatic task decomposition via an Orchestrator agent, built-in tools for SQL queries, JQ transformations, and dynamic content embedding, plus flexible gateway integrations (REST API, Web UI, Slack) for connecting user interfaces and external systems.
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