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Review · AI Observability

Agenta review

A capable agent-building toolkit with a free route in, but it is not a substitute for AI observability software.

6.5/10Search Legion score

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The bottom line

Choose Agenta to build and run AI coworkers—not to replace an AI observability stack.

Agenta is for building AI coworkers and automations that can work in Slack or Telegram, connect to more than 1,000 integrations, and run on schedules or triggers. The pricing page lists a free Hobby plan and Starter at $29 per month; Starter includes 2,900 monthly credits and 20 concurrent tasks. Annual pricing is not published. Teams can also self-host the MIT-licensed open-source version.

We would not shortlist Agenta as an AI observability replacement: its listed features focus on creating and running agents, not observing model behavior. The free and self-hosted options make it worth considering for agent workflows, but Reddit discussion offers little independent evidence about product experience. Check the credit limits against your expected usage before choosing a paid plan.

Good fit if

  • Teams building Slack or Telegram agents
  • Self-hosters wanting an MIT-licensed option
  • Teams automating scheduled or triggered tasks

Skip it if

  • Teams shopping for AI observability
  • Buyers who require published annual pricing
  • Solo users needing more than two concurrent tasks
Agenta homepage
Agenta homepage, captured Nov 6, 2026

ScoresHow it rates

  • Features7
  • Ease of use6
  • Value for money8
  • Support6
  • User sentiment5

What works

  • Free Hobby plan includes 500 signup credits
  • Open-source version supports self-hosting under MIT
  • Open-source plan lists unlimited users and projects
  • Connects to more than 1,000 integrations
  • Approvals let teams gate actions

What doesn't

  • Hobby is limited to two concurrent tasks
  • Starter costs $29 monthly; annual pricing is not published
  • Credit allowances require usage planning
  • Reddit threads provide little independent product feedback
  • Its listed features target agent workflows, not observability

01What Agenta actually does

Agenta is a platform for building AI coworkers that handle team tasks in Slack or Telegram. You create agents with shared context and connected tools, then run them in chat, on a schedule, or when an event occurs in a connected service. The product description lists more than 1,000 integrations, plus controls for deciding which actions run automatically and which require approval.

Agenta offers a hosted service and an open-source option. The open-source version is MIT-licensed and can be deployed on your own infrastructure; its listed features include Docker Compose deployment, unlimited users and projects, and the option to bring your own models and credentials. That makes it a different proposition from a simple chatbot subscription: you can choose between paying for managed cloud capacity or taking on the hosting and operating work yourself.

The stated use is broader than coding. In Reddit posts, Agenta’s creator describes using agents for marketing work and scheduled Slack reports. That is an example, not a guarantee that every workflow will work without setup.

02Where Agenta is strong

Agenta’s strongest case is giving teams one place to create task-focused agents, connect tools, and choose how much autonomy to allow. Slack and Telegram support make agents accessible in team chat, while schedules and connected-tool triggers cover work that should happen without someone prompting it. Approval controls also give teams a way to hold back selected actions instead of letting every tool call run automatically.

The deployment choice is useful for teams with different security and operations needs. The open-source plan is listed at $0 and includes unlimited users, projects, agents, and automations, along with self-managed data retention. Teams that prefer the hosted product can start with Hobby at $0, or Starter at $29 per month, according to the pricing page.

  • Hobby includes 500 signup credits, two concurrent tasks, one project, and two team members.
  • Starter includes 2,900 monthly credits, 20 concurrent tasks, unlimited projects and team members, and live chat support.
  • Business is $299 per month and lists 32,000 monthly credits, 50 concurrent tasks, SSO, role-based access control, and a SOC 2 Type II report.

For cloud Starter and Business, extra credits are sold in bundles, with no overage charges listed.

03Where it falls short

The cloud plans impose limits that matter if agents run often or overlap. Hobby allows two concurrent tasks; Starter allows 20 and Business 50. The pricing page also lists daily free credits—75 a day, up to 10 days monthly—on those plans, but does not explain here whether unused credits roll over. Starter’s 2,900 monthly credits may need topping up: add-on bundles cost $10 for 1,000, $25 for 2,500, or $100 for 10,000. Annual prices are not published.

The free open-source option avoids a subscription but shifts responsibility to your team. Agenta lists self-managed data retention and bring-your-own models and credentials; hosting and operating that deployment are not included as managed cloud services. Organizations that want commercial self-hosted support must ask about Enterprise pricing, which is not published. Enterprise Cloud pricing is also custom.

Agenta’s stated strengths are agent building and automation, not AI observability. The published feature list does not describe monitoring or evaluation features, so we would choose it to build and run AI coworkers—not as a replacement for an AI observability stack. And while the product description claims more than 1,000 integrations, it does not specify which ones are available on each plan.

04Agenta pricing: what you'll actually pay

Agenta has a free Hobby plan, then paid plans start at $29 per month. Hobby includes 500 signup credits, 75 free credits a day for up to 10 days monthly, two concurrent tasks, one project and two team members. That task cap may be restrictive if several agents need to run at once.

Starter costs $29 monthly and includes 2,900 monthly credits and 20 concurrent tasks. Business jumps to $299 monthly—about 10 times Starter’s price—for 32,000 monthly credits and 50 concurrent tasks, plus SSO, role-based access control and a SOC 2 Type II report. Both paid plans also include the daily free-credit allowance.

If credits run short, Starter and Business can buy 1,000 for $10, 2,500 for $25 or 10,000 for $100; the pricing details say there are no overage charges. Annual pricing is not published. Enterprise Cloud and self-hosted pricing is also not published, so buyers needing those options will have to ask Agenta for a quote.

05Switching to (or from) Agenta

Agenta’s open-source option is MIT-licensed and supports Docker Compose deployment, unlimited users and projects, and bring-your-own models and credentials. That gives teams a self-managed route, but it also means they operate the deployment and data retention themselves. The published plan details don’t describe a migration service or step-by-step migration process.

Before moving in, check how your existing agent instructions, integrations, credentials and scheduled tasks would be recreated. Before moving out, confirm how to retrieve your data and configuration: export formats and portability procedures are not specified in the available information. Don’t assume that self-hosting alone answers those questions.

We weren’t given Reddit posts or comments about Agenta, so we can’t reliably say what users report as their reasons for leaving. For a decision, the clearest published trade-offs are the self-managed work of open source versus paid cloud plans, and the paid plans’ monthly credit and concurrency limits. Check migration and export details with Agenta before committing.

From the threadsWhat users say

The sample is small and mostly consists of founder posts, so it offers limited independent evidence about day-to-day use. The comments show interest in flexibility and local models, alongside confusion about setup and which model providers are supported.

Flexible agent setup
You can switch between harnesses (right now Claude code, OpenAI Codex, or Pi, but we plan adding many more), and models (to use your self-hosted models)
r/LocalLLaMA · view thread
Local control
agenta runs your models locally, tool call are in sh file so it works without an internet connection and your data stays on your machine
r/agenticAI · view thread
Beyond coding
Both are very specialized for coding. Agenta is more general , you can use it for coding but also general work
r/ClaudeCode · view thread
Setup confusion
I am not sure how to connect this to my LLM, Seems like only local llama and Anthropic is supported
r/agenticAI · view thread

Questions people ask

What is Agenta, and what can it automate?

Agenta is open-source software for building AI coworkers that use team context and connected tools. According to the product information, agents can work through Slack or Telegram and run tasks on schedules or when something happens in a connected tool. It also supports approvals, so teams can decide which actions need sign-off.

Can we self-host Agenta?

Yes. Agenta’s open-source edition is MIT-licensed and can be hosted on your own infrastructure. The listed self-managed option includes Docker Compose deployment, unlimited users and projects, unlimited agents and automations, and the ability to bring your own models and credentials. Data retention is self-managed; commercial self-hosted support is a separate Enterprise option.

How much does Agenta cost?

The pricing page lists a free Hobby plan, Starter at $29 per month, and Business at $299 per month. Enterprise Cloud and Enterprise self-hosted pricing is custom and not published. Annual prices are not published. Starter and Business users can add credits: 1,000 for $10, 2,500 for $25, or 10,000 for $100.

What are the plan limits?

Hobby includes 500 signup credits, 75 free credits a day for up to 10 days monthly, 2 concurrent tasks, 1 project, and 2 team members. Starter lists 2,900 monthly credits and 20 concurrent tasks; Business lists 32,000 monthly credits and 50 concurrent tasks. Both paid plans also list the daily free credits.

What do users say about model support and setup?

Reddit comments show interest in local models, but also some setup uncertainty: one commenter was unsure how to connect an LLM. A reply in that thread said the project supported Ollama, OpenAI, DeepSeek, and OpenRouter with API keys. Treat this as user discussion, not a definitive compatibility list for every Agenta deployment.

Sources

  1. Agenta homepage
  2. Agenta pricing page
  3. Reddit: Agenta: an open-source Claude Cowork alternative where you can use self-hosted models (and any harness)
  4. Reddit: I'm building agenta an AI agent that runs fully on your own machine
  5. Reddit: Agenta: an open-source Claude Cowork alternative where you can choose your harness and model
  6. Reddit: Agenta: an open-source Claude Cowork alternative where you can choose your harness and model