Multica

Multica is an AI-based project and task manager that allows you to coordinate work between human developers and virtual code assistants. Rather than copying and pasting prompts into a chat interface, this platform's core proposal is to centralize development lifecycle management by assigning tickets to agents directly, allowing them to work autonomously, report their progress, and collaborate on the same dashboard as the rest of the team.

Task and workflow management

Multica features a Kanban-style interface where you create tickets and assign them to an agent in the same way you would assign them to a human colleague. Once assigned, the agent assumes control of the task's complete lifecycle: it queues the work, claims it, initiates execution, and, finally, marks it as completed or failed. During this process, the agents do not perform their work silently. Instead, they post comments on the task thread, update the status, and are even capable of creating new tickets if they detect additional issues that require attention.

Real-time monitoring and collaboration

From the main dashboard, you can monitor the execution of live tasks thanks to a WebSocket connection that transmits the agent's progress in real time. This eliminates the uncertainty surrounding background processes, as you have a unified activity feed where updates from human developers are interspersed with commits and comments from the AI. If an agent encounters an obstacle it cannot resolve, it reports the block in the panel so that you or any other team member can intervene.

Cumulative skill system

As you use the platform, you build up a library of reusable skills. This means that when an agent solves a complex problem or completes a specific workflow successfully, that knowledge (including the code, configuration, and context) is saved and integrated into the system. As a result, your organization's agents accumulate collective experience over time, becoming more efficient in similar future tasks, whether deployments, migrations, unit tests, or code reviews.

Compatibility and deployment

In the infrastructure settings, you can decide whether you prefer to use the cloud-hosted version or opt for self-hosted deployment through Docker, maintaining full control over your data and repositories. The platform is agnostic towards model providers, meaning you can connect and integrate various command-line programming assistants such as Claude Code, OpenAI Codex, OpenClaw, or OpenCode based on your project's specific needs, or even run them locally with Ollama. This flexibility makes it stand out from closed solutions like GitHub Copilot, offering a neutral and adaptable environment for mixed teams. To install it, you have to use commands in PowerShell. By running "multica setup" in the root directory where you unzip the .exe, the app will guide you through the entire process until you reach the web interface.

My experience with Multica

I deployed the platform in a local Docker container and linked my test repository to manage a project in Python. I created a ticket to implement user authentication and assigned it to an agent configured with Ollama and Gemma. In a matter of minutes, I watched as the agent claimed the task, wrote the logic in the background, and posted a comment detailing the endpoints created. Later, I forced a dependency error in another ticket to test its response, and the agent quickly halted execution, marking the task with a "blocked" tag and detailing the version conflict in the board chat, which allowed me to resolve it immediately without having to dig through endless logs.

What I liked most about Multica and what could be improved

· What I liked most: The way the interface unifies human and automated work, offering complete visibility of agent progress without having to stray from the project management environment.

· What could be improved: The initial learning curve to set it up can be a bit technical if you don't have prior experience managing Docker environments.

Download Multica and transform the way your team develops software by integrating autonomous AI agents directly into your task management and repository workflow.