lidangzzz / goal-driven

What is goal-driven?

Goal-driven is a prompt template for building persistent multi-agent systems on GitHub, like claude multi agent github or langgraph multi agent github setups, that grind through complex coding or math problems for 100+ hours until verifiable success. You define a clear goal—say, implementing a TypeScript compiler in C++ or SQLite in Rust—and strict criteria, then a master agent oversees subagents that iterate relentlessly via LLMs like Claude or Copilot. It's a multi agent system framework solving the flakiness of one-shot AI coding by enforcing goal-driven meaning: loop until criteria pass, no early quits.

Why is it gaining traction?

Unlike flaky single-prompt chains or multi agent github copilot hacks, this nails multi agent system architecture with a simple master-subagent loop—restart inactive workers every 5 minutes, evaluate outputs against criteria, repeat. Devs dig the real-world hook: it birthed open-source projects like a C++ TypeScript compiler in 100 hours, proving goal-driven vs goal-oriented works for beastly tasks beyond quick wins. Keywords like goal-driven synonym (relentless pursuit) or multi agent system example make it searchable for goal-driven reward by video diffusion models for reinforcement learning fans.

Who should use this?

AI engineers tackling compiler design, theorem proving, or database rewrites in exotic langs. Indie hackers experimenting with multi agent ppo github or multi agent sac github for autonomous systems. Teams needing goal-driven autonomous exploration through deep reinforcement learning but verified outputs, not hallucinations.

Verdict

Try it for marathon AI coding sprints if you've got API budget—75 stars and spotty docs scream early alpha (1.0% credibility score), but those example repos deliver. Skip for production; polish it into your multi agent platform github workflow first.

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