AgentaOpen-source LLMOps platform for building, evaluating, and deploying LLM apps
Overview
Key features
- Prompt playground with side-by-side comparison
- Custom and automated evaluations
- Production tracing and observability
- Versioning for prompts and configurations
- Deployment of LLM apps as APIs
- Integrations with major LLM providers
Pricing
- Model
- Freemium
- Category
- AI Agents
- Rating
- 4.8 / 5 (4)
Use cases
Streamlining LLMOps for Teams
Agenta helps teams move from scattered workflows to structured processes by providing tools for centralized management, collaboration, and evaluation of LLM applications.
Iterating Prompt Design with the Whole Team
The unified playground feature allows teams to compare prompts and models side-by-side, while the ability to create a systematic process for running experiments and tracking results streamlines the development process.
Debugging and Validating LLM Applications
Agenta's features for automated evaluation, integrated feedback from domain experts, and comparison of full traces enable teams to replace guesswork with evidence and make data-driven decisions.
Pros & Cons
Pros
- Open source and self-hostable
- Combines prompt playground, evaluation, and observability
- Supports collaboration between developers and non-technical users
- Works with multiple LLM providers and frameworks
Cons
- Requires setup and maintenance if self-hosted
- Smaller community than some commercial alternatives
- Learning curve for teams new to LLMOps
Reviews
Average from 4 ratings.
Sign in to leave a review.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on integrations with major LLM providers, and open source and self-hostable caught me off guard. still, I'd recommend giving it a real trial.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on versioning for prompts and configurations, and supports collaboration between developers and non-technical users caught me off guard. Smaller community than some commercial alternatives is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Use it every day
Honestly didn't expect to like it this much. Integrations with major LLM providers is exactly what I needed, and works with multiple LLM providers and frameworks. but I reach for it almost every day now and it just clicks.
Solid for our team
We rolled this out across the team last quarter and works with multiple LLM providers and frameworks. Deployment of LLM apps as APIs fits neatly into how we already work, and custom and automated evaluations removed a step we used to do by hand. but it has held up under daily use.
Q&A
What is included in the free open-source edition?
The open-source edition includes the core agent workspace: chat, projects, agent configuration, instructions, skills, tools, integrations, MCP servers, files, schedules, event triggers, tracing, evaluations, version history, role-based access control, and SSO. You can create unlimited users, projects, agents, and workflows on your own infrastructure.
Asked by Farah Rahimi · Jan 13, 2026
What is the difference between Agenta Cloud and self-hosted Agenta?
Agenta Cloud is operated by us. We run the application, storage, agent runner, upgrades, and backups. With self-hosted Agenta, you deploy and operate those components in your own infrastructure, connect your own model and integration accounts, and control where your data is stored.
Asked by Ravi Kapoor · Jan 1, 2026
What does trace data retention cover?
Trace data retention controls how long Agenta Cloud keeps technical execution records, including model calls, tool calls, timing, outputs, errors, evaluations, and annotations. Hobby retains trace data for one week, Pro for one month, and Business for three months. Enterprise retention is configurable. Trace data retention does not describe the retention of chats, project files, or persistent agent context. With self-hosted Agenta, you manage trace storage and retention in your own infrastructure.
Asked by Grzegorz Lewandowski · Dec 27, 2025
How can I estimate how many agent runs I need?
Count each message sent to an agent, each annotation, and each invocation started by a schedule or event. For example, one daily scheduled agent uses about 30 or 31 runs per month, one agent triggered every hour uses about 720 to 744 runs per month, and a chat with 20 user messages uses 20 runs.
Asked by Petra Vogel · Dec 25, 2025
Where can I monitor usage?
Open Settings, then Billing to see your current agent-run usage and plan allowance.
Asked by Giulia Conti · Dec 17, 2025
Ask a question
AI Agents alternatives
Zapier's Agents
AI Agents
AI-powered agents that automate workflows across 7,000+ connected apps
NexusGPT
AI Agents
No-code platform for building and deploying custom AI agents to automate business workflows.
AgentForge
AI Agents
Low-code framework for building autonomous AI agents and cognitive architectures
Maps Scraper AI
AI Agents
An AI-driven tool that automates the extraction of business data from Google Maps, enhancing lead generation and market research.
Momentic AI
AI Agents
Write, fix, and run software tests using plain English prompts.
Micro Agent
AI Agents
AI coding agent that iterates on code until your tests pass
Mogoj AI
AI Agents
AI-powered workflow optimization and business process automation
Charisma.ai
AI Agents
Immersive conversational AI for interactive storytelling, training, and brand campaigns.
Trending now
AdCrier
Marketing & Advertising
Sponsored answers, paid per click.
Reducto AI
AI Agent Development Platforms
Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.
Biology AI
Education AI
Accurate Homework Help with Full Explanations
Pin AI
Workflow automation
Agentic AI recruiter that automates sourcing, screening, and outreach to accelerate hiring.