Agenta
by Agenta · Open-source workspace for building, running and tracing LLM agents
BenchRank score
Screenshots of Agenta
Homepage
Overview
Agenta is an open-source workspace for building and running LLM agents. An agent is an AGENTS.md file plus skills and MCP tools, built through chat and then run interactively, on a schedule, or on an event trigger. Every run produces a trace with steps and cost, prompts and skills are versioned, and it runs on Agenta Cloud or self-hosted under an MIT licence.
- Best for
- Teams building and scheduling LLM agents who want tracing, versioning and evaluation, self-hosted or hosted.
- Pricing
- Free Hobby tier, then $29/month for Pro and $299/month for Business, with $5 per additional 10,000 agent runs; Enterprise is custom-priced.
- Runs on
- Self-hostedCLI
Strengths and trade-offs
Strengths
- MIT-licensed; self-host the same code that runs Agenta Cloud
- Unlimited users, agents and workflows on every paid plan
- Traces, version history and evaluations for every agent run
- Model and harness choice: Anthropic, OpenAI, Ollama, xAI, OpenRouter
Trade-offs
- Free tier caps at 2 members, 5,000 runs and 1-week trace retention
- SSO, RBAC and SOC 2 report only from the $299/month Business plan
- Runs are metered: $5 per extra 10,000 beyond the included allowance
- Codex, OpenCode, Hermes, E2B and Vercel support is marked 'soon'
How Agenta markets itself
A structured read of the promise, proof and page design on Agenta’s captured homepage.
Homepage capture
“The open-source workspace for your agents.”
- Angle: Open source / ownership
- Hero: Typography only
Pricing
Published plans and prices from Agenta’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Agenta pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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