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What is Agenta?
Agenta is a full-featured, open-source LLMOps platform designed to solve the core challenges AI teams face when building and maintaining large language model applications. Most teams rely on scattered prompts, ad-hoc experiments, and limited visibility into model behavior; Agenta eliminates this chaos by becoming a central hub for all prompt iterations, evaluations, traces, and collaboration. Its unified playground allows developers and product teams to compare prompts and models side-by-side, track version changes, and reuse real production failures as test cases. Through automated evaluation workflows—including LLM-as-a-judge, built-in evaluators, human feedback, and custom scoring—Agenta provides a scientific approach to validating prompts and model updates. The platform supports step-level evaluation, making it easier to diagnose where an agent’s reasoning breaks down instead of inspecting only the final output. Advanced observability tools trace every request, display error points, collect user feedback, and allow teams to annotate logs collaboratively. With one click, any trace can be turned into a long-term test, creating a continuous feedback loop that strengthens reliability over time. Agenta’s UI empowers domain experts to experiment with prompts without writing code, while APIs ensure developers can automate workflows and integrate deeply with their stack. Compatibility with LangChain, LlamaIndex, OpenAI, and any model provider ensures full flexibility without vendor lock-in. Altogether, Agenta accelerates the path from prototype to production, enabling teams to ship robust, well-tested LLM features and intelligent agents faster.
What is AgentHub?
AgentHub is a specialized staging platform meticulously crafted to simulate, monitor, and evaluate AI agents within a secure and private environment, ensuring reliable, swift, and precise deployment. With an intuitive setup process, users can onboard agents in just a few minutes, supported by a robust evaluation system that provides extensive multi-step trace logging, LLM graders, and customizable assessment features. Users can conduct authentic simulations with adjustable personas to mimic diverse behaviors and rigorously test various scenarios, while techniques for dataset enhancement artificially expand the test set size for more comprehensive evaluation. The platform also promotes prompt experimentation, enabling large-scale dynamic testing across numerous prompts, and includes side-by-side trace analysis to facilitate comparisons of decisions, tool usage, and results across different executions. Moreover, an integrated AI Copilot is on hand to examine traces, interpret results, and answer questions based on the user’s unique code and data, turning agent operations into clear, actionable insights. Additionally, the platform combines human-in-the-loop and automated feedback systems, along with personalized onboarding and expert guidance to guarantee adherence to best practices throughout the engagement. This holistic approach not only streamlines the optimization of agent performance but also fosters a deeper understanding of agent behavior and decision-making processes. Ultimately, AgentHub equips users with the tools needed to refine their AI agents efficiently and effectively.
Integrations Supported
Cohere
Falcon AI
Hugging Face
LangChain
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Integrations Supported
Cohere
Falcon AI
Hugging Face
LangChain
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Agenta
Date Founded
2023
Company Location
Germany
Company Website
agenta.ai/
Company Facts
Organization Name
AgentHub
Date Founded
2023
Company Location
United States
Company Website
www.agenthublabs.com