Hebo is the fastest way to build & scale high-quality conversational agents
Our experience has shown that building high-quality conversational agents requires extremely close collaboration between developers and business teams. When proof-of-concepts fail, it’s rarely a technology problem — it’s usually an iteration issue.
Today, even simple changes — like adjusting temperature, tweaking default agent personality via the system prompt, or adding additional knowledge into the context window — still require code changes and redeployments. This turns small iterations into days- or weeks-long feedback cycles.
At the same time, existing observability and evaluation tools operate at a very low technical level. They make it hard for non-technical users to follow real conversation flows, debug issues, or validate whether an agent behaves as intended.
We started Hebo to bridge this gap — and to enable fast, shared iteration between product, business, and engineering teams. Hebo is:
- A unified AI gateway providing instant access to state-of-the-art LLMs with low-latency, high-throughput completions and embeddings.
- A composable stack with primitives for RAG, Tools, and Memory that give fine-grained control over conversation content and quality.
- An evaluation & observability toolchain designed to make real conversation flows visible, debuggable, and testable — for both technical and non-technical teams.
All this wrapped into a simple user interface targeted at operational teams to define agent behavior, observe conversations and optimize knowledge.
Every part of Hebo is designed to be opt-in, with a natural ramp-up as your agent evolves in sophistication — from simple prompts to fully-fledged, production-grade helpers.
Hebo is built in the open with an FSL license that keeps Hebo free to use for everyone while discouraging harmful free-riding. We’re still at the very beginning. Follow us on X (@heboai) to stay up to date, or reach out to us on Discord to join the conversation.