Open Issues Need Help
View All on GitHubAI Summary: This issue proposes improvements to the documentation for the Nexus Agents project. It aims to add a clear prerequisites checklist, a "Hello World" verification step to confirm installation, and a table detailing environment variables. These changes will enhance the developer experience by making setup and verification more straightforward.
Nexus Agents is an MCP (Model Context Protocol) server that coordinates multiple AI experts to handle software development tasks. It provides a unified interface for different AI models and enables multi-agent collaboration through a Tech Lead and specialized experts.
AI Summary: This issue addresses two main points: adding the `CodexMcpAdapter` to the public exports to make it accessible, and deprecating two unused exports, `defaultFactory` and `SubprocessCliAdapter`. The deprecation is a proactive measure to clean up the codebase and prepare for future removal, following developer experience review guidelines.
Nexus Agents is an MCP (Model Context Protocol) server that coordinates multiple AI experts to handle software development tasks. It provides a unified interface for different AI models and enables multi-agent collaboration through a Tech Lead and specialized experts.
AI Summary: This issue proposes adding a `workflowSummary` method to the `NotificationService`. This new method will generate a formatted summary of workflow execution, including details like duration, completed phases, and final status, for both console and structured logging. The goal is to improve logging and reporting capabilities.
Nexus Agents is an MCP (Model Context Protocol) server that coordinates multiple AI experts to handle software development tasks. It provides a unified interface for different AI models and enables multi-agent collaboration through a Tech Lead and specialized experts.
AI Summary: This issue proposes implementing a Reinforcement Learning (RL) trained orchestrator to dynamically select agents based on context. The goal is to improve task completion rates by mapping context to agent probabilities, drawing inspiration from a research paper on multi-agent orchestration.
Nexus Agents is an MCP (Model Context Protocol) server that coordinates multiple AI experts to handle software development tasks. It provides a unified interface for different AI models and enables multi-agent collaboration through a Tech Lead and specialized experts.