The Unified Interface for Coding Agents

The easiest way to run software engineering agents

• Discover & Use the Latest Coding Agents. Orchestrate and manage Claude Code, OpenAI Codex, Amp, and more from a single place—no manual setup. Quickly adopt new frontier agents without changing configurations or workflows. Zero switching cost between agents. Tasks and context remain stable.
• Side-by-Side Agent Benchmarking. Send the same task to multiple agents, compare outputs, and choose the best performer for each task type.
• Unified Access, Zero Overhead. Unified billing—no juggling provider accounts, per-agent configs, contracts, retries, rate-limits, or IDE sprawl. Swap agents without friction while keeping the best prices and highest availability.
• Better Prices, Better Uptime. Higher availability and best price identification. If a provider fails, rate-limits, or hits capacity, Modu instantly routes to others—no custom retry logic needed.
• Security & Control: Ephemeral sandboxes with no persistent access. Code stays in your repos. Credentials are encrypted and only used based on your actions. Each agent works in its own isolated workspace to install dependencies, write code, run tests, and build safely.
• Parallel Git Workflows. Run agents in separate branches to fix bugs, add features, update docs, review PRs, and auto-resolve merge conflicts. Commit changes, trigger CI/CD, and return to ready-to-review pull requests.
• Use Where Work Happens. Create and manage tasks from Slack, Linear, Jira, GitHub, and more. Built for seamless team collaboration: assign, comment, review, and hand off in one workspace.
• Monitoring & Observability. Track every prompt, token usage, tool call, file change, test run, and CI status in real time.
• Custom Data Policies. Ensure tasks, prompts and data only go to trusted agents with fine-grained policy controls.

How Modu works

1. Connect your repo. Modu clones into isolated sandboxes.
2. Create tasks. Modu assembles context and dispatches to your chosen agents in parallel.
3. Compare & Review. Run multiple agents on a given task to benchmark performance, compare outputs, and pick the top result.
4. Merge. PRs appear with traceable logs and test output; approve or prompt agents to iterate anywhere you work.

Focus on building faster, not orchestrating agents

Discover and use the latest agents through a single interface without the overhead. Say hi to us at hello@askmodu.com