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Spencer Heckathornleft a comment
Hey Product Hunt! I'm Spencer, and I built HyperWorker because I kept hitting the same wall running projects through AI agents. The agent would be great for the first few tasks. Then it would forget what happened last session, edit files it was told not to touch, or mark something "done" based on nothing but its own confidence. The problem wasn't the model...it was the environment. There was...
HyperWorkerProject management harness for AI agents
Your AI agent starts strong...then drifts, loses context, and skips steps. HyperWorker stops that.
Six mechanisms in markdown and YAML keep long-running projects on track: Lock (no drift), Atomicity (no "mostly finished"), Dependency (no skipped steps), Memory (session survival), Precedence (rule conflicts), Verification (evidence-based completion).
Point your agent at HARNESS.md and it scaffolds everything. Built in Cowork. Works with any LLM that reads files. Open source, MIT licensed.
HyperWorkerProject management harness for AI agents
Spencer Heckathornstarted a discussion
What breaks when you run long projects through AI agents?
I've been using AI agents for multi-session projects (not one-shot tasks...actual work with phases, dependencies, and handoffs between sessions). Curious what patterns other people are seeing. Some things that keep breaking for me: The agent forgets what happened last session and redoes work. It invents new scope nobody asked for. It says "done" but never actually verified anything. Rules from...