How the DeepRise Agent Swarm Works

DeepRise is an open-source multi-agent system for autonomous software development. It coordinates a swarm of specialized agents — each with a distinct role — to plan, build, test, and improve code in parallel on long-running tasks.

The agent hierarchy

At the top sits the Super Agent, which acts as the manager of the entire swarm. It receives feedback from all other agents, consolidates progress, sets strategy, and instructs each agent on what to do next. Below it, specialized agents handle specific parts of the development lifecycle.

Planning and architecture

The Orchestration Agent designs software architecture, creates implementation plans, and generates detailed task lists for the developer agents. This ensures that code changes follow a coherent structure rather than ad-hoc edits.

Implementation and validation

Developer Agents implement features and write code. Test Agents create and run comprehensive tests. A User-Level Test Agent simulates real-world interactions. A Runtime QA Agent runs the application in an isolated environment and validates user flows.

Quality and operations

Code Review Agents check for best practices and maintainability. Security Agents identify vulnerabilities. DevOps Agents handle deployment pipelines, infrastructure monitoring, and GitHub integration. An Explore Agent searches and analyzes codebases to answer questions or locate patterns.

Parallel execution

Agents in DeepRise work in parallel wherever possible. While a developer agent implements a feature, test agents can prepare test cases and review agents can analyze related modules. This parallelism is what makes multi-agent systems faster than sequential single-agent workflows for large tasks.

Getting started

DeepRise is open source under the MIT license. Install it with curl or clone the repository from GitHub. The installer sets up the agent runtime and connects it to your local development environment.

curl -fsSL https://deeprise.dev/install | bash