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confused-ai
Build AI agents, teams, and workflows in TypeScript
Build production-grade AI agents in TypeScript. 40+ LLM providers, 100+ built-in tools, multi-agent orchestration, RAG, guardrails, circuit breakers, HITL, budget enforcement, OTLP tracing. Open source. CrewAI / LangChain alternative.
Hey ProductHunt! 👋 I'm Raja, the maintainer of confused-ai — and I'm genuinely thrilled to share this with you all today.
The honest reason I built this: I kept running into the same wall. Every time I wanted to ship a real AI agent in
TypeScript, I had to either wrestle with Python-first frameworks or stitch together a dozen packages with no clear story for how they'd scale. I wanted something that started simple — one agent, one tool, one run — and grew with the system, not against it.
That's the core idea behind confused-ai. You start with a single agent and a model. When you need live data, you add tools. When you need continuity across turns, you add sessions. When your answers need to be grounded in real documents, you add retrieval. When one agent isn't enough, you build a team with specialists and a supervisor. Every layer is optional and additive — you never have to rip things up to move forward.
What I'm most proud of is the production side. Shipping an agent is one thing; running it safely at scale is another. confused-ai has circuit breakers, budget enforcement, PII guardrails, human-in-the-loop approval checkpoints, and full OTLP tracing built right in. You don't have to bolt these on from five different libraries.
It supports 40+ LLM providers out of the box — OpenAI, Anthropic, Gemini, Groq, Ollama, and many more — so you're never locked in. And because it's plain TypeScript with a single npm package, there's no config DSL to learn
This is fully open source under MIT. I'd love for you to try it, break it, and tell me what's missing. Every question and piece of feedback here genuinely helps shape what gets built next. Thank you so much for the support — it means everything to this project. 🙏
About confused-ai on Product Hunt
“Build AI agents, teams, and workflows in TypeScript”
confused-ai was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #160 on the daily leaderboard. Build production-grade AI agents in TypeScript. 40+ LLM providers, 100+ built-in tools, multi-agent orchestration, RAG, guardrails, circuit breakers, HITL, budget enforcement, OTLP tracing. Open source. CrewAI / LangChain alternative.
On the analytics side, confused-ai competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how confused-ai performed against the three products that launched closest to it on the same day.
Who hunted confused-ai?
confused-ai was hunted by Raja shekar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of confused-ai including community comment highlights and product details, visit the product overview.
Raja shekar
Hey ProductHunt! 👋 I'm Raja, the maintainer of confused-ai — and I'm genuinely thrilled to share this with you all today.
The honest reason I built this: I kept running into the same wall. Every time I wanted to ship a real AI agent in
TypeScript, I had to either wrestle with Python-first frameworks or stitch together a dozen packages with no clear story for how they'd scale. I wanted something that started simple — one agent, one tool, one run — and grew with the system, not against it.
That's the core idea behind confused-ai. You start with a single agent and a model. When you need live data, you add tools. When you need continuity across turns, you add sessions. When your answers need to be grounded in real documents, you add retrieval. When one agent isn't enough, you build a team with specialists and a supervisor. Every layer is optional and additive — you never have to rip things up to move forward.
What I'm most proud of is the production side. Shipping an agent is one thing; running it safely at scale is another. confused-ai has circuit breakers, budget enforcement, PII guardrails, human-in-the-loop approval checkpoints, and full OTLP tracing built right in. You don't have to bolt these on from five different libraries.
It supports 40+ LLM providers out of the box — OpenAI, Anthropic, Gemini, Groq, Ollama, and many more — so you're never locked in. And because it's plain TypeScript with a single npm package, there's no config DSL to learn
This is fully open source under MIT. I'd love for you to try it, break it, and tell me what's missing. Every question and piece of feedback here genuinely helps shape what gets built next. Thank you so much for the support — it means everything to this project. 🙏