Multiagent-ChatR&D

Multiagent-Chat

Collaborative AI in action

Multiagent-Chat is an open source research and development project from Appoly exploring how multiple AI agents can collaborate within a shared conversational environment. Instead of relying on a single AI model, Multiagent-Chat enables groups of specialised agents to work together, discuss ideas and collectively solve complex problems.

The project focuses on orchestrating structured dialogue between agents, allowing them to challenge assumptions, refine outputs and converge on higher quality results through collaboration. This mirrors how human teams operate, while leveraging the speed and scale of artificial intelligence.

Key innovations

• Multi-agent collaboration Multiple AI agents participate in the same workspace, each contributing from a different perspective. This approach encourages deeper reasoning and more balanced outcomes than single-agent interactions.
• Configurable agent roles Developers can define how many agents are involved, their responsibilities and how they interact. This makes it easy to experiment with different collaboration patterns and problem-solving strategies.
• Real-time discussion and synthesis Agents communicate live, sharing insights and critiquing one another’s outputs. The system captures these conversations and produces structured summaries or final outputs that can be reused in development workflows.
• Developer-first tooling Multiagent-Chat is designed to run locally via the command line, giving developers full control over execution, configuration and data while integrating naturally into existing workflows.

Why it matters

Multi-agent AI systems have been shown to outperform single-agent approaches on complex reasoning and planning tasks. By enabling AI agents to collaborate, debate and refine ideas together, Multiagent-Chat demonstrates how collective intelligence can lead to more reliable decision making and creative problem solving.

Explore the project

Multiagent-Chat is available as an open source project on GitHub. Developers can explore the codebase, experiment with multi-agent configurations and contribute to the ongoing research.

View the Multiagent-Chat repository on GitHub