I've been building an open-source Python framework for production-ready AI agents (lightweight, with built-in circuit breakers, multi-LLM support including Ollama, ReAct/ReWOO/ToT reasoning, and safety features like guardrails/idempotency).

Repo: https://github.com/thienzz/Kite (just released v0.1.0 on PyPI: pip install kite-agent)

My questions: - How do you know when to keep going vs. pivot/stop on an open-source project with low initial interest? - What were your experiences with early traction on AI/tools projects? Did any of yours start slow but pick up later? - For those building agents in production: What pain points do you still have that frameworks aren't solving well (reliability, local runs, cost control)?

Would love honest advice – feeling a bit demotivated but still believe in the idea.

Thanks!