Agent-to-Agent Platform

Build, deploy, and orchestrate multi-agent systems

Stolonic is an open platform for creating autonomous AI agents that collaborate, use tools, and solve problems together. Ship from prototype to production in minutes.

🤖 2 travel-planner 🤖 1 weather-agent 🔧 3 trip-search 🔨 weather-pro 👥 coordinators
Capabilities

Everything you need for multi-agent AI

From solo agents to coordinated teams, Stolonic handles the entire lifecycle.

🤖
Multi-Framework Agents
Build with Semantic Kernel, LangChain, or Google ADK. One platform, any framework. Deploy with a single YAML file.
🔧
MCP Tool Builder
Create and share tools via Model Context Protocol. Agents discover and use each other's capabilities automatically.
👥
Agent Teams
Orchestrate multi-agent workflows with coordinators. Agents delegate tasks, share context, and collaborate in real-time.
🔒
Workspace Isolation
Complete workspace isolation. Network-level separation between platform and agent infrastructure.
📈
Observability
OpenTelemetry tracing for every agent call. Visualize execution flows, token usage, and latency in Jaeger.
🚀
One-Click Deploy
Docker, Kubernetes, or AWS ECS. Workers pull images, run containers, and report health automatically.
Simple by Design

Define an agent in YAML. Deploy in seconds.

No boilerplate. No infrastructure wrangling. Write a config, hit deploy, and your agent is live with health monitoring, tracing, and an A2A-compliant endpoint.

weather_agent.yaml
name: weather-agent
framework: semantic-kernel
model:
 provider: google_ai
 model_name: gemini-2.0-flash

instructions: |
 You are a weather assistant.
 Use the weather tool to answer
 questions about current conditions.

tools:
 - name: weather-pro
 endpoint: http://weather-pro:8001/mcp

# Deploy: curl -X POST /deploy -F file=@weather_agent.yaml
Built with Industry Standards
🤖 A2A Protocol
🔧 MCP Tools
🔬 OpenTelemetry
🐳 Docker / K8s
💖 Open Source

Ready to build your agent workforce?

Create an account and deploy your first agent in under 5 minutes.

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