Agenta review

Agenta is an AI coworker application offered as a hosted service, with a self-hosted deployment option. It is not presented as a standalone programming library or command-line tool. Teams build agents with shared context and connected tools, then use them in Slack or Telegram, or schedule them to run when a connected-tool event occurs.

In a stack, Agenta sits between a team's users and the models and work tools an agent needs. The homepage lists model options including a ChatGPT subscription, OpenRouter, Ollama, Gemini and xAI, along with connections such as Slack, Notion, GitHub, HubSpot, Google Drive, Linear and Zendesk. The product also describes a browser and file workspace for agents. Teams can configure which actions run automatically and which require approval. For organizations that want to operate the platform themselves, Agenta lists Docker Compose deployment under its open-source plan. The homepage does not describe a public API architecture, so confirm how custom services should connect before designing around one.

Agenta's visible integration surfaces are its hosted workspace, Slack and Telegram chat, connected tools, and agent tools. The homepage says the platform connects to more than 1,000 integrations and shows examples such as GitHub, Linear, Notion and HubSpot. A Reddit post from the founder also describes agents with instructions, skills and tools/MCPs. These surfaces can support team workflows, but they are not a substitute for a documented developer API when a service needs to create or manage agents programmatically.

The homepage links to documentation, a changelog and a roadmap, but does not name SDKs, programming languages, a CLI, REST endpoints or webhooks. We recommend confirming SDK availability and the supported integration method in Agenta's docs before estimating custom integration work. The homepage also presents a browser and file workspace where agents can research and save files. For a deployment, check the docs for setup, authentication, permissions and failure handling; those specifics matter more than the integration count when an agent writes to production systems.

Agenta lists a free Hobby cloud plan with 500 signup credits, 75 free credits a day for up to 10 days monthly, two concurrent tasks, one project and two team members. Starter costs $29 per month and includes 2,900 monthly credits, the same daily-credit offer, 20 concurrent tasks and unlimited projects and team members. Business is $299 per month with 32,000 monthly credits, 50 concurrent tasks, SSO and role-based access control, and a SOC 2 Type II report. Annual pricing is not published.

Starter and Business can add credits: 1,000 for $10, 2,500 for $25, or 10,000 for $100. The pricing page says there are no overage charges, so usage beyond included credits means buying an add-on rather than incurring listed overages. Hobby is capped at two concurrent tasks; the open-source plan instead lists unlimited users, projects, agents and automations, but requires teams to bring their own models and credentials and manage data retention. Enterprise cloud and self-hosted plans have custom pricing. Ask Agenta how credits map to model and tool usage before forecasting a production bill.

Agenta describes its open-source offering as MIT-licensed and lists Docker Compose deployment. That gives teams the option to operate the platform on their own infrastructure, use their own models and credentials, and manage data retention themselves. The open-source plan lists unlimited users and projects, agents and automations. Organizations that want commercial self-hosted support can request the separate Enterprise plan, which includes deployment and upgrade support, security and architecture reviews, and a dedicated support channel.

Self-hosting reduces dependence on Agenta's hosted service, but it does not by itself establish how portable agent configurations, conversation data or connected-tool state are. The vendor does not publish a data-export or migration path in the published product materials. Before building a large agent library, ask whether configurations and run data can be exported in reusable formats, and what happens to hosted data when an account is closed. The MIT license also does not remove operational work: your team owns infrastructure, upgrades and self-managed retention.

The published cloud limits to plan around are credits and concurrent tasks: two on Hobby, 20 on Starter and 50 on Business. The pricing page lists no overage charges for Starter and Business and offers credit add-ons, but it does not publish API rate limits or production reliability targets. Ask the vendor about task queuing, retries, timeout behavior and model or integration failures before routing critical work through scheduled agents.

Business lists SSO, role-based access control and a SOC 2 Type II report. The Enterprise cloud plan adds custom data retention, audit logs, custom domains and a custom SLA; these controls are not listed for Hobby or Starter. Self-hosted teams control their deployment and retention, but also own availability and upgrades. Reddit discussion shows interest in choosing models and harnesses, alongside setup questions: one commenter said they were unsure how to connect a model, and the founder replied with provider configuration guidance for Ollama, OpenAI, DeepSeek and OpenRouter. Treat that as a signal to validate setup and provider support against current docs, not as a complete compatibility list.