Agenta
Open-source LLMOps for prompt management, evaluation, and observability.
A solid open-source choice for teams needing centralized prompt experimentation and evaluation. Frequent updates and a generous free tier make it competitive, though production monitoring depth still trails dedicated platforms like LangSmith.
Verified 17d ago · liveness 95/100 · cite: rightaichoice.com/tools/agenta
- Teams of 5+ needing a shared LLMOps workspace for prompt management and evaluation
- Product managers and domain experts who want to edit prompts via UI without code
- Developers building LLM agents that require detailed tracing and debugging
- Teams implementing automated evaluation workflows (e.g., LLM-as-a-judge, code evaluators)
- Solo developers who just need a lightweight prompt testing tool
- Teams requiring advanced production monitoring with real-time alerting
- Users who prefer a fully managed solution with zero self-hosting overhead
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Skip Agenta if you need production-level monitoring with real-time alerting or a fully managed solution without self-hosting overhead.
Pro: $20/seat/month beyond 3 included seats
Agenta’s Hobby tier ($0/mo) is among the most generous free offerings for teams (2 users, 5k traces, 20 evals). Pro ($49/mo for 3 users) is cheaper than LangSmith’s similar tier (~$99/mo). Business ($399/mo) includes unlimited seats and 1M traces, competitive with Weights & Biases. Enterprise custom pricing offers BYOC and self-hosting for large teams.
In short
Agenta — Open-source LLMOps for prompt management, evaluation, and observability. Best for Teams of 5+ needing a shared LLMOps workspace for prompt management and evaluation, Product managers and domain experts who want to edit prompts via UI without code, Developers building LLM agents that require detailed tracing and debugging. Free to start; paid plans from $49/mo.
What's new in Agenta
Checked 17 days agoAcross the latest 7 updates: 7 feature updates.
v0.103.0 — Evaluate While You Iterate in the Playground
Rebuilt playground with attachable evaluators and test set loading for real-time scoring.
v0.102.0 — Dark Mode
Added light, dark, and system theme support across the entire app.
v0.97.0 — Annotation Queues
Build annotation queues from traces or test sets, attach scoring schemas, route to reviewers, export labeled sets.
v0.96.0 — Unified Invoke API
All invocation endpoints replaced by a single POST /services/{service}/v0/invoke endpoint with structured references.
v0.94.0 — Webhooks and GitHub Automations for Prompt Deployments
Trigger automations on prompt deployments via HTTPS webhooks or GitHub dispatch events.
v0.87.0 — Tool Integrations in the Playground
Connect 150+ external tools (Gmail, Slack, Notion, etc.) via OAuth and execute actions from prompts.
v0.84.0 — AI-Powered Prompt Refinement in the Playground
Refine prompts with AI via natural language descriptions; includes diff view and quick optimization.
Viability Score
How likely is Agenta to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Unified playground for side-by-side model comparison
- Complete prompt version history
- Automated evaluation with LLM-as-a-judge or custom code
- Human evaluation workflow for domain expert feedback
- Trace every request with full detail
- Annotation queues for trace scoring (v0.97)
- Turn any trace into a test set with one click
- Playground evaluates outputs live on edit (v0.103)
- Dark mode across full app (v0.102)
- Unified invoke API for all services (v0.96)
- Webhooks and GitHub Actions for prompt deployment (v0.94)
- Model agnostic – use any LLM provider
- UI for non-technical experts to edit prompts
- Self-hostable open-source deployment
About Agenta
Agenta is an open-source LLMOps platform that centralizes prompt management, evaluation, and observability for AI teams. It targets AI engineers, product managers, and subject-matter experts who need a collaborative workflow to experiment, iterate, and monitor prompts. The platform features a unified playground for side-by-side model comparison, complete version history for prompts, and automated evaluation with LLM-as-a-judge or custom code. Recent updates include a rebuilt playground that evaluates outputs on edit (v0.103), dark mode (v0.102), annotation queues for trace scoring (v0.97), a unified invoke API (v0.96), and webhooks with GitHub Actions for prompt deployments (v0.94). Agenta supports human evaluation, is model agnostic, and allows users to turn traces into test sets with one click. Unlike scattered workflows using Slack and Google Sheets, Agenta provides a structured, collaborative environment for prompt engineering and evaluation, with a generous free tier and scalable paid plans. It is available as a self-hosted or cloud-hosted solution with active community support on GitHub and Slack.
Behind the Verdict
Agenta hits a sweet spot for teams that have outgrown ad-hoc prompt tinkering but aren't ready for enterprise pricing. The playground's live evaluation on edit (v0.103) is a standout: you can attach an LLM judge or custom evaluator and see scores update as you type. The annotation queues (v0.97) also close the loop nicely for human feedback workflows. Where it bites: traces and evaluations have hard caps on free and pro tiers (5k/10k traces per month), which can feel restrictive for active teams. If you need heavy production monitoring with real-time alerting and deep observability dashboards, LangSmith or Weights & Biases Prompts may still be better fits. But for collaborative prompt iteration with a strong free tier and active open-source community, Agenta is hard to beat. We'd reach for it when we need a shared workspace where PMs and domain experts can edit prompts via UI without touching code.
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Real-world workflow fit
Concrete scenarios for the personas Agenta actually fits — and what changes day-one when you adopt it.
PM wants to iterate on prompt for customer support chatbot without writing code
Outcome: PM uses Agenta playground to compare 3 prompt variants side-by-side, runs automated LLM-as-a-judge evaluation, and deploys the best version via webhook—all without developer involvement.
Engineer needs to debug a failed agent trace from production
Outcome: Engineer views full trace in Agenta, identifies the failing step, converts the trace into a test set, fixes the prompt, and validates with automated evaluation before deploying.
VP wants to enforce evaluation gates before prompt deployments across teams
Outcome: VP sets up webhooks and GitHub Actions for prompt deployment pipeline; each prompt must pass automated eval and human review before CI/CD approval.
Use Cases
- Version prompts and collaborate with product managers using the playground
- Run automatic and human evaluations on LLM outputs before production
- Monitor production traces with OpenTelemetry to debug agent behavior
- Capture user feedback and convert production failures into test sets
- Build a CI/CD pipeline for prompts with automated evaluation gates
- Self-host Agenta to keep LLM data within your infrastructure
Models Under the Hood
as of 2026-07-06
Limitations
- The Hobby plan is limited to 2 users and 5k traces per month with 30-day retention.
- Pro plan caps at 10 seats.
- Trace overage costs can add up ($5 per 10k).
- Self-hosted enterprise requires contacting sales.
- The platform is web-only with API/CLI; no native mobile or desktop app.
as of 2026-06-26
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Agenta tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Hobby
$0/mo
Ideal for
Small team of 2 exploring prompt management and evaluation with low trace volume
What this tier adds
Free entry point with 2 seats, 5k traces/month, 20 evaluations/month, and 30-day retention.
Pro
$49/mo
Ideal for
Growing team up to 10 needing more traces and unlimited evaluations with in-app support
What this tier adds
Adds unlimited evaluations, 10k traces/month with $5/10k overage, in-app support, and 90-day retention.
Business
$399/mo
Ideal for
Large team needing unlimited seats, high trace volume, SOC2, and RBAC
What this tier adds
Unlimited seats, 1M traces/month with $5/10k overage, role-based access, SOC2 reports, private Slack channel, and 365-day retention.
Enterprise
Custom
Ideal for
Large enterprise requiring self-hosting, custom retention, audit logs, and dedicated support
What this tier adds
Volume pricing, audit logs, custom retention, Bring Your Own Cloud, dedicated support, and self-hosted deployment options.
Where the pricing makes sense
The company stage and team size where Agenta's pricing actually pencils out — and where peers do it cheaper.
Agenta’s Hobby tier ($0/mo) is among the most generous free offerings for teams (2 users, 5k traces, 20 evals). Pro ($49/mo for 3 users) is cheaper than LangSmith’s similar tier (~$99/mo). Business ($399/mo) includes unlimited seats and 1M traces, competitive with Weights & Biases. Enterprise custom pricing offers BYOC and self-hosting for large teams.
Setup time & first value
How long it actually takes to get something useful out of Agenta — broken out by persona, not the marketing-page minute.
Solo developer: 5 minutes via quickstart (pip install, API key). Team onboarding: 30 minutes to set up workspace, invite members, and create first evaluation. Enterprise self-hosted: 1-2 days for deployment and configuration.
Switching to or from Agenta
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Google Sheets: export prompts and import via API
- →From LangSmith: use Agenta SDK to migrate evaluation data
- →From manual Git workflow: use Agenta version history and prompts API
- ↗To LangFuse: export traces via API
- ↗To custom dashboard: use Agenta API to extract trace and evaluation data
Integrations
Resources & Guides
- Documentationagenta.ai
What is Agenta? - Docs
Agenta is an open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place.
- Resourceagenta.ai
Prompt Management, Evaluation, and Observability for LLM apps
Agenta is an open-source platform for building robust LLM Application. It provides tools for prompt engineering, evaluation, debugging, and monitoring of complex LLM Apps.
Official links
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