Agent Basics

OpenSIN agents are autonomous AI entities that can process inputs, make decisions, and produce outputs using LLMs and tools.

Quick Entry

Getting StartedOverview, prerequisites, and first steps.Team OrchestrationCoordinate multiple agents together.MCP IntegrationConnect agents to external tools.A2A ProtocolLearn the agent-to-agent layer.

Creating an Agent

bun start  # then type your query in the REPL

Agent Configuration

• name — Unique identifier for the agent
• model — LLM model to use (openai/gpt-5.4, openai/gpt-5.4-mini, google/antigravity-claude-sonnet-4-6, etc.)
• system_prompt — Instructions that define the agent's behavior
• temperature — Controls randomness (0.0-2.0)
• max_tokens — Maximum tokens per response
• tools — List of tools the agent can use

Testing an Agent

# The agent loop runs automatically

Next Steps

• Team Orchestration
• A2A Protocol
• MCP Integration

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Relevante Mandate

Mandat	Priority	Doku
Bun-Only	-1.5	bun install / bun run statt npm
LLM via opencode CLI	-2.5	opencode run --format json — KEINE direkten API-Calls
A2A-Agenten-Pflicht	-200.0	SELBST MACHEN via create-a2a-sin-agent
Kommentar-Pflicht	-6.0	EXTREM umfangreiche Kommentare

→ Alle Mandate