Agenta
Open-source workspace to build, evaluate, and deploy AI agents through chat
Agenta is a compelling open-source choice for teams that want a shared, chat-driven workspace for building agents with built-in evaluation. The recent pivot to agent building and frequent updates show strong momentum, but production monitoring is still thinner than LangSmith's. For collaboration and self-hosting, it's a solid pick.
Verified 9d ago · liveness 85/100 · cite: rightaichoice.com/tools/agenta
- Teams of 2+ needing a shared workspace for agent and prompt management
- Product managers and domain experts building/refining agents via chat UI
- Developers building LLM agents that require detailed tracing and debugging
- Organizations wanting a self-hostable open-source agent platform
- 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 advanced production monitoring with real-time alerting, or if you're a solo developer seeking a minimal prompt testing tool without collaboration needs.
Going past 10,000 agent runs per month on Pro or Business adds $5 per additional 10,000 runs, which can escalate with heavy automation.
Agenta's freemium model fits small teams starting with the Hobby plan (free, 2 users) and scales to Pro at $29/mo for unlimited users—competitive with LangSmith's $39/mo starter but adds built-in evaluation. Business at $299/mo adds governance (SSO, SOC 2) for regulated teams. Self-hosted open source is free with unlimited everything, a cost advantage over proprietary platforms.
In short
Agenta — Open-source workspace to build, evaluate, and deploy AI agents through chat. Best for Teams of 2+ needing a shared workspace for agent and prompt management, Product managers and domain experts building/refining agents via chat UI, Developers building LLM agents that require detailed tracing and debugging. Free to start; paid plans from $29/mo.
What's new in Agenta
Checked 9 days agoAcross the latest 4 updates: 2 feature updates, 1 launch and 1 changelog entry.
API Keys Are Hidden from Agent Sandboxes
Agents can no longer see API keys in cloud sandboxes, including provider keys and MCP credentials. On by default in Agenta Cloud.
Run Your Agents on Codex
Agents can now run on OpenAI's Codex, with five OpenAI models up to GPT-5.6 Sol, local or Daytona sandbox, and MCP support.
Shared Workspace Files
Agents work from a shared cloud folder with persistent files between sessions. Adds Pi's built-in tools to permissions.
Introducing Agenta 2.0
Agenta 2.0 is now an open-source workspace for building and running agents, with chat-based development, feedback, and team sharing.
What people actually say about Agenta — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
96 mentions across 6 sources (Hacker News, YouTube, Product Hunt, Bluesky, GitHub, Lemmy) · researched Jul 25, 2026.
Average across the 6 sources that answered — each source counts once, not each post.
- +Unified playground for side-by-side model comparison across providers.
- +Live evaluation on edit speeds up prompt iteration significantly.
- +UI designed for non-technical experts to edit prompts collaboratively.
- +Open-source with self-hosting option avoids vendor lock-in.
- +Automated evaluation using LLM-as-a-judge or custom code.
- −Missing built-in approval workflows for enterprise governance.
- −Audit trail features are not yet available out of the box.
- −Scalability for high-throughput async LLM calls is unclear.
- −Trace sampling may drop edge cases under production load.
- −Self-hosted version lacks official support SLA.
- • Self-hosting may require DevOps effort and infrastructure costs
- • Higher-tier features like SSO are only on Enterprise plan
Viability Score
How well maintained and how widely used is Agenta? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Build agents through chat with instructions and skills
- Equip agents with MCP tools and integrations (1000+ apps)
- Automate agents with schedules and event triggers
- Unified playground with real-time evaluator scoring
- Full version history for agents and prompts
- Automated evaluation with LLM-as-a-judge or custom code
- Human evaluation workflow for domain expert feedback
- Annotation queues for trace scoring
- Turn any trace into a test set with one click
- Trace every run with step-by-step costs
- Model agnostic – any LLM provider or harness
- Self-hostable open-source deployment (MIT license)
- Human-in-the-loop approval for consequential actions
- Shared workspace files and persistent context
- Background agents (scheduled and event-triggered)
About Agenta
Agenta is an open-source workspace where teams build, evaluate, and deploy AI agents. It's designed for AI engineers, product managers, and domain experts who need a shared environment to create agents conversationally, equip them with skills and MCP tools, and automate them with schedules and event triggers. The platform includes a unified playground with real-time evaluator scoring, full version history for agents and prompts, and automated evaluation via LLM-as-a-judge or custom code. Human evaluation workflows let domain experts provide feedback through annotation queues, and any trace can be turned into a test set in one click. Every run is traced with step-by-step costs, and agents can be self-hosted on your infrastructure with the MIT-licensed open-source edition. Agenta 2.0, introduced in July 2026, pivoted from prompt management to this agent workspace, adding shared workspace files and background agents. Pricing is freemium: a free Hobby plan for individuals, Pro at $29/month for production teams, Business at $299/month for governance needs, and custom Enterprise options for cloud or self-hosted deployment. Unlike LangSmith's focus on monitoring, Agenta combines collaborative agent building with built-in evaluation, making it a strong fit for teams that want to iterate on agents together and keep control of their infrastructure.
Behind the Verdict
Agenta 2.0 represents a major shift from prompt management to a full agent workspace, a direction that aligns with how AI development is moving. The chat-based agent building is genuinely accessible—you can describe a task and the agent iterates with you, using tools like PostHog and your workspace files. The versioning of agents, prompts, skills, and tools like code is a standout feature for teams that need to see exactly what changed and roll back if something breaks. Strengths: The open-source, MIT-licensed core means you can self-host and keep your data and agents on your own infrastructure, a key differentiator for privacy-conscious organizations. You're not locked into a proprietary model—you can use Claude Code, OpenAI Codex, or Pi, and bring your own models. The built-in evaluation (LLM-as-a-judge, custom code, human annotation) is more integrated than in many competitors, and the ability to turn any trace into a test set streamlines the feedback loop. The shared workspace files and background agents (scheduled/event-triggered) foster team collaboration and automation. Weaknesses: Production monitoring is not as deep as LangSmith's—Agenta focuses more on building and evaluation than on real-time alerting and operational metrics. The free Hobby plan is very limited (2 team members, 5,000 runs/month, 1-week trace retention), and the per-run overage ($5 per 10k runs) can catch you off guard at scale. There's no dedicated mobile or desktop app; the experience is web-based. Some advanced features like granular tool permissions are only on paid tiers, though self-hosting removes many limits. Where it fits: Teams of 2+ that want a shared environment to build, evaluate, and improve agents together, especially if they need self-hosting or appreciate the open-source ethos. It's also great for product managers and domain experts who prefer a chat UI over code. Where it doesn't: Solo developers wanting a lightweight prompt tester, or teams needing advanced production monitoring with alerting—those might look at LangSmith or similar. If you want a fully managed, zero-self-hosting solution, the cloud plans are good, but the self-host option is a major draw for many.
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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.
Set up a code review agent that reviews every pull request, leaves inline comments, and flags security issues.
Outcome: Automated code review with versioned agent config, traceable runs, and human approval for critical changes.
Create an onboarding facilitator agent that monitors metrics in PostHog and updates a PRD in the workspace.
Outcome: Agents run on a schedule, update files, and flag drops, giving the PM timely insights without manual checks.
Trigger a sales prospecting agent when a new signup occurs, researching the prospect and drafting outreach.
Outcome: Event-triggered automation that runs instantly, with tracing for cost and approval gates for outbound messages.
Use Cases
- Set up a code review agent that reviews every pull request and leaves inline comments.
- Create an onboarding facilitator agent that monitors metrics in PostHog and updates PRDs.
- Schedule a competitor research automation that runs every Monday.
- Trigger a sales prospecting agent when a new signup occurs.
- Self-host Agenta to keep LLM data within your infrastructure.
- Build a CI/CD pipeline for prompts with automated evaluation gates.
Models Under the Hood
as of 2026-08-30
Limitations
- The Hobby plan includes 2 team members, 5,000 agent runs per month, and 1-week trace data retention.
- Pro and Business plans include 10,000 agent runs per month with $5 per additional 10,000 runs.
- Paid plans include unlimited projects, agents, workflows, and users.
- The platform is available as a hosted cloud service or self-hosted, with no mobile or desktop apps mentioned.
as of 2026-08-28
Verification history
We have re-verified Agenta 17 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 17 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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
Individual exploring agent building with a free tier, 2 team members, and 5,000 runs per month
What this tier adds
Free entry point with limited team size and retention; unlimited projects and agents
Pro
$29/mo
Ideal for
Production teams needing unlimited members and schedules, with 10,000 runs per month and unlimited evaluations
What this tier adds
Adds unlimited team members, unlimited schedules/triggers, and 1-month trace retention vs Hobby
Business
$299/mo
Ideal for
Teams requiring governance features like SSO, RBAC, and SOC 2 report for compliance
What this tier adds
Adds SSO, RBAC, SOC 2 report, and 3-month retention vs Pro
Enterprise (Cloud)
Custom
Ideal for
Large organizations needing custom usage, audit logs, custom domains, and dedicated support
What this tier adds
Cloud tier with audit logs, custom domains, custom security terms, and custom SLA
Open Source (Self-Hosted)
Free
Ideal for
Teams wanting full control on their own infrastructure with unlimited everything for free
What this tier adds
Self-hosted with bring-your-own models; includes all core features without usage limits
Enterprise (Self-Hosted)
Custom
Ideal for
Organizations needing commercial support and advanced controls on self-hosted deployment
What this tier adds
Adds audit logs, custom domains, deployment support, and security reviews vs open source
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 freemium model fits small teams starting with the Hobby plan (free, 2 users) and scales to Pro at $29/mo for unlimited users—competitive with LangSmith's $39/mo starter but adds built-in evaluation. Business at $299/mo adds governance (SSO, SOC 2) for regulated teams. Self-hosted open source is free with unlimited everything, a cost advantage over proprietary platforms.
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.
For Hobby users, setup is immediate—sign up and start chatting with an agent. Pro/Business includes guided onboarding; expect a few hours to connect integrations and build your first agent. Self-hosting takes 1-2 days with Docker Compose, plus configuration for your model providers.
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 LangSmith: Start a new project in Agenta, recreate your prompts and evaluation criteria, then connect your existing model providers.
- →From prompt management tools: Use the chat interface to rebuild your prompts as agents, and import existing trace data if possible.
- ↗To LangSmith: Export your traces and evaluation results, then recreate agents as prompts in LangSmith's monitoring-focused environment.
- ↗To an alternative platform: Use Agenta's open-source code to extract your agent definitions and skills manually.
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.
Tutorials & Learning
Official links
Tools that pair well with Agenta
Common stack mates teams adopt alongside Agenta, with the specific reason each pairing earns its keep.
Alternatives to Agenta
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OpenAgents
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Frequently Asked Questions
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