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goal-driven

by lidangzzz1.6kUpdated 2026-03-18

A multi-agent system that keeps running for ~100 hours and solve a very complicated coding or math problem that can be verified

Claude CodeCodexOpenClaw

Goal-Driven is a multi-agent orchestration framework that enables AI coding assistants to work continuously for 100+ hours on complex, verifiable problems. It uses a master agent to supervise subagents, repeatedly checking whether success criteria are met and restarting work when necessary. The system is designed for intricate tasks like compiler development, mathematical theorem proving, and database architecture that require sustained effort and can be objectively validated. Developers integrate it by providing a goal and success criteria as a prompt template to multi-agent tools.

Key Features

Master-subagent architecture where the master agent evaluates criteria and controls execution flow
Continuous operation for 100–300+ hours on complex coding and mathematical problems
Automatic subagent restart when agents become inactive or claim completion without meeting criteria
Periodic activity checks every 5 minutes to ensure progress toward the goal
Verification-driven approach requiring strict, well-defined success criteria
Support for highly abstract tasks: compiler design, theorem proving, database systems, and EDA simulation
Prompt template system for defining goals and success criteria in any multi-agent environment
Examples include TypeScript-to-C++ compiler (100 hours) and SQLite in Rust (30 hours)

Use Cases

  • 01Building a compiler from scratch by specifying the source and target languages as the goal
  • 02Proving mathematical theorems where success is verified by formal proof checkers
  • 03Implementing complex database systems with test suites that validate correctness
  • 04Designing EDA simulation tools with comprehensive verification through test cases
  • 05Solving computational problems that require extensive iteration and validation
  • 06Creating system-level architectures where success criteria can be objectively measured

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goal-driven — FAQ

What is the Goal-Driven AI sub-agent framework?+

Goal-Driven is a multi-agent orchestration system that keeps AI coding assistants working continuously on complex problems for 100+ hours. It uses a master agent to supervise subagents and verify that work meets strict success criteria before halting.

How do I use Goal-Driven with my AI agent?+

Copy the provided prompt template, fill in your specific goal and success criteria in the designated brackets, and paste the completed prompt into a multi-agent tool like Claude Code, Codex, or OpenClaw. The master agent will then create and manage subagents automatically.

Which AI clients work with Goal-Driven?+

Goal-Driven works with any multi-agent–supported AI tool, including Claude Code, Codex, and OpenClaw. The framework operates through prompt instructions rather than requiring specific software integration.

Does Goal-Driven require API keys or specific prerequisites?+

You need access to a multi-agent AI tool with sufficient API credits or subscription balance, as Goal-Driven processes can run for 100+ hours and consume significant LLM tokens. No additional API keys beyond your AI agent platform are required.

Is Goal-Driven free to use?+

The Goal-Driven framework itself is open source and free. However, running it will incur costs from your AI agent provider based on token usage and API calls during the extended execution time.

What kinds of problems is Goal-Driven best suited for?+

Goal-Driven excels at complex, time-consuming tasks with clear verification criteria, such as compiler development, mathematical theorem proving, database implementation, and system-level design challenges. The problem must be objectively verifiable for the master agent to determine success.

How do I install goal-driven?+

Open the source repository on GitHub and follow its README. goal-driven is a agent — MCP Agents Market links you directly to the official repo.

Is goal-driven free?+

goal-driven is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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