Conductor: A .NET 10-based Microkernel Agent Framework Redefining AI Agent Architecture

Conductor is an open-source .NET10-based microkernel Agent framework developed by pavkam. It aims to address common issues in AI agent development such as architecture bloat, extension difficulties, and single-channel interaction. Key features include plugin-driven tools, workflow orchestration, multi-channel support, and leveraging .NET10's technical advantages, providing a flexible and scalable solution for enterprise AI applications.

Current AI agent development faces core challenges: integrating LLM capabilities stably and efficiently into business systems, dealing with architecture bloat, hard-to-extend structures, and limited interaction channels. For the .NET ecosystem, there was a lack of such a framework tailored to enterprise needs—Conductor fills this gap.

Conductor uses a microkernel architecture, splitting into core kernel and peripheral plugins: Kernel Responsibilities: Process lifecycle management, plugin registration/discovery, cross-plugin communication, system stability. Plugin Responsibilities: Encapsulate specific business functions (tools, workflow nodes), independent development/deployment/upgrade, interact with kernel via standard interfaces. Advantages: High flexibility (add features via plugins without changing kernel), fault isolation (plugin issues don’t crash system), parallel development by teams, flexible function combination.

1. Plugin-driven Tools: Custom tools (DB query, file ops, third-party APIs) as plugins, dynamic selection/call based on context.
2. Workflow Orchestration: Support multi-step processes (condition branches, parallel tasks, loops, error retry/rollback) for complex automation.
3. Multi-channel Interaction: Built-in support for Web API, message queues (RabbitMQ/Kafka), IM tools (Slack/Teams), email, and custom channels via plugins.
4. .NET10 Advantages: Performance optimization (JIT, GC, async), cross-platform (Windows/Linux/macOS), rich ecosystem, type safety (C#).

Conductor is suitable for:

• Smart Customer Service: Multi-channel access, workflow for complex queries, integrate order/return tools.
• Enterprise Knowledge Assistant: Connect internal knowledge bases, docs, DBs for unified query.
• Business Process Automation: Automate repetitive tasks (approval, data entry, reports) via workflows.
• DevOps Assistant: Integrate CI/CD, monitoring, logs for team support.

Compared to LangChain (Python), Semantic Kernel, AutoGen:

• .NET Focus: Tailored for .NET teams, avoiding cross-language integration issues.
• Microkernel Architecture: Better modularity and testability than monolithic frameworks.
• Enterprise-oriented: Designed with multi-tenant, high availability, observability in mind from the start.

As a new open-source project, Conductor has potential for .NET ecosystem. Contribution directions:

• Develop common tool plugins (SQL query, REST API).
• Provide workflow visual editor.
• Improve docs/examples.
• Integrate more LLM providers (OpenAI, Anthropic, Azure).
• Build monitoring/ops tools. Future: Conductor will play a key role in enterprise AI deployment, evolving with community support to enhance .NET AI application development.