agent-framework vs oracle3-prediction-market-agent
agent-framework: Microsoft Agent Framework is a comprehensive multi-language framework for building, orchestrating, and deploying AI agents. It supports both .NET and Python, offering features from simple chat agents to complex multi-agent workflows with graph-based orchestration.; oracle3-prediction-market-agent: Oracle3 is an open-source paper-trading engine and MCP server designed for prediction markets. It identifies arbitrage opportunities by analyzing logical relations and fee structures across multiple venues, enabling rule-based and model-driven simulated trading under risk limits.
TL;DR
- You are starting a new Microsoft-ecosystem agent project in Python or .NET and want the official successor to AutoGen.
- You need built-in workflow checkpointing, middleware, OpenTelemetry tracing, declarative YAML agents, and a DevUI under MIT.
- You only need a small, single-file Python agent without a multi-package framework; Pydantic AI is lighter.
- You rely on Chinese LLM providers and realtime voice pipelines out of the box; AgentScope has dedicated support for those.
Automated identification and paper-trading of arbitrage opportunities in prediction markets.
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