Hebo
Hebo is a platform that unifies AI gateway, composable agent primitives, and evaluation tooling to help development and business teams collaboratively build, iterate, and scale high-quality conversational agents. It provides a low-latency LLM gateway, RAG/Tools/Memory primitives, and an observability toolchain designed for both technical and non-technical users. The platform is free to use under an FSL license and includes a live MCP server for testing agent tool integrations.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Founders
Product
Problem
Building high-quality conversational agents requires extremely close collaboration between developers and business teams, yet even simple changes like adjusting temperature, tweaking system prompts, or adding knowledge to the context window require code changes and redeployments. This turns small iterations into days- or weeks-long feedback cycles. Existing observability and evaluation tools operate at a very low technical level, making it hard for non-technical users to follow real conversation flows, debug issues, or validate whether an agent behaves as intended.
Solution
Hebo bridges this gap by providing a unified AI gateway with instant access to state-of-the-art LLMs, offering low-latency, high-throughput completions and embeddings. The platform includes a composable stack with primitives for RAG, Tools, and Memory, giving teams fine-grained control over conversation content and quality. An evaluation and observability toolchain makes real conversation flows visible, debuggable, and testable for both technical and non-technical teams. All of this is wrapped in 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 from simple prompts to fully-fledged, production-grade helpers.
Target Audience
Primary users are development and business teams collaborating on conversational AI projects, including product managers, operational teams, and engineers who need to iterate quickly on agent behavior, observe real conversation flows, and validate agent performance.
Features
- Unified AI gateway providing instant access to state-of-the-art LLMs with low-latency, high-throughput completions and embeddings
- Composable stack with primitives for RAG, Tools, and Memory for fine-grained control over conversation content and quality
- Evaluation and observability toolchain designed to make real conversation flows visible, debuggable, and testable for both technical and non-technical teams
- Simple user interface targeted at operational teams to define agent behavior, observe conversations, and optimize knowledge
- Live MCP server (mcp.hebo.ai) with real tools to test agent tool integrations end-to-end without self-hosting or infrastructure setup
- Built with an FSL license that keeps the platform free to use while discouraging harmful free-riding