Agenta

Agenta is an open-source workspace for teams building and operating AI coworkers. Teams can interact with agents in Slack or Telegram, or start with templates for engineering, customer support, sales, company knowledge, and operations. Runs can be scheduled or launched by events. Agenta tracks agent activity with traces, execution logs and errors, version history, evaluations, and token use with estimated model costs. It names connections such as Slack, Notion, GitHub, HubSpot, Google Drive, Linear, Zendesk, and Discord, and supports more than 1,000 integrations. Listed model providers include OpenAI, Anthropic, Gemini, Mistral, Groq, and others. The cloud Hobby plan is free for two team members and 5,000 runs per month; runs stop at the limit. Pro costs $29/month and includes 10,000 runs, with extra runs charged separately. Model-provider fees are separate: users provide credentials and pay providers directly. Agenta also offers self-hosting, where users operate the application and related infrastructure. Its mobile app supports agent conversations, tool approvals, and workspace management.

Agenta combines agent creation, integrations, and run monitoring with cloud and self-hosted options. Consider the monthly run limits and separate model-provider charges when choosing a plan.

Agenta suits teams that want to create and operate AI agents across work tools, with cloud or self-hosted deployment options. It may also suit phone users who need to continue agent conversations or approve tools away from a desktop.

Agenta is a workspace for building and running AI coworkers, aimed at teams that want agents connected to workplace tools and developers who need control over deployment. Its strongest case is the combination of agent workflows and run monitoring; cloud users should weigh the monthly run caps and separate model costs before committing.

Overview

Agenta brings agent creation, automation, and run oversight into one product. Its templates cover engineering, customer support, sales, company knowledge, and operations, while teams can work with agents in Slack or Telegram. Support for more than 1,000 integrations, including Notion, GitHub, HubSpot, Google Drive, Linear, Zendesk, and Discord, makes it relevant to teams connecting agents to existing services rather than building isolated assistants.

Scheduled and event-triggered runs can support recurring tasks or workflows that respond to events. Traces, execution logs and errors, version history, evaluations, and token usage with estimated model costs help teams inspect runs and changes. Agenta supports OpenAI, Anthropic, Gemini, Mistral, Groq, MiniMax, Together AI, OpenRouter, Azure OpenAI, AWS Bedrock, Google Vertex AI, and OpenAI-compatible endpoints. Users bring their own provider credentials and pay model costs directly, so subscription pricing does not represent the full cost of use.

Key features

Agent workflows and integrations

The template range offers starting points across several business functions, and scheduled or event-triggered runs extend agents beyond one-off chats. The named integrations and broader catalog make Agenta a plausible fit for teams whose workflows cross multiple tools. Its mobile app adds the ability to chat with agents, continue conversations, handle tool approvals, and manage workspaces from a phone. These capabilities favor active team workflows; teams seeking only prompt storage or a narrow observability layer may not need the broader workspace.

Run visibility and provider choice

Traces, logs, errors, evaluations, version history, and token usage with estimated model costs give teams several ways to understand agent behavior. That scope is useful when a workflow needs review or debugging, though retention varies by plan and the estimated cost view does not remove the need to pay model providers separately. The broad provider list avoids tying a workspace to one model ecosystem, but teams must manage their own credentials and provider bills.

Pricing

Agenta has a free cloud tier, a free self-hosted option, and paid cloud plans starting at $29/month. The main trade-offs are monthly run volume, trace retention, and business controls.

• Hobby: $0 forever for two team members, 5,000 agent runs per month, 20 evaluations per month, and one-week trace retention. Runs stop at the monthly cap, making this a limited evaluation tier rather than a dependable choice for higher-volume production workflows. Community support is through GitHub Issues.
• Open source: Free forever and self-hosted, with unlimited users, projects, agents, workflows, schedules, and event triggers, plus self-managed trace retention and bring-your-own models and credentials. It removes cloud run caps, but users deploy and operate the application, storage, agent runner, upgrades, and backups themselves.
• Pro: $29/month with unlimited team members, 10,000 runs per month, unlimited evaluations, and one-month trace retention. Additional runs cost $5 per 10,000. This is the most accessible paid option for teams that need more than Hobby's quota, though community support remains the listed support channel.
• Business: $299/month with 10,000 runs per month, additional runs at $5 per 10,000, three-month trace retention, role-based access control, SSO, a SOC 2 Type II report, priority support, and a private Slack Connect channel. It suits organizations needing access controls and stronger support; the price premium over Pro is substantial if those requirements do not matter.
• Enterprise Cloud: Custom pricing for custom usage and trace retention, audit logs, custom domains, dedicated support, and a custom SLA.
• Enterprise self-hosted: Custom pricing for self-hosting, audit logs, custom domains, deployment and upgrade support, dedicated support, and a custom SLA.

Cloud plans do not include model-provider charges: users connect their own credentials and pay providers directly. That distinction matters when comparing a low subscription price with the total cost of running agents.

Platforms

Agenta is available as a web product, an API, and a self-hosted deployment. Self-hosting gives teams control over where data is stored, but also leaves them responsible for the application, storage, agent runner, upgrades, and backups. Cloud plans avoid that operational burden. The mobile app supports agent conversations, tool approvals, and workspace management on a phone.

Who it's for

Agenta is best suited to teams that want to build agents across business functions, connect them to existing tools, and review runs in the same workspace. Pro is a practical fit when a team needs more cloud capacity and longer trace retention than Hobby provides. Business makes more sense when SSO, role-based access control, or priority support is a requirement. Developers who want a no-subscription route and can manage infrastructure may prefer the self-hosted plan. Hobby is most appropriate for a small team exploring the product within a strict monthly run limit.

It is a weaker fit for teams that want model costs bundled into a subscription, need cloud runs beyond the included quota without extra charges, or do not want to operate self-hosted infrastructure.

Pros and cons

• Pro: Templates span engineering, support, sales, company knowledge, and operations, giving teams several starting points for agent workflows.
• Pro: Scheduled and event-triggered runs, integrations, and Slack or Telegram access support workflows beyond a standalone chat.
• Pro: Run traces, errors, evaluations, version history, and token-cost estimates provide useful oversight for teams maintaining agents.
• Pro: The free self-hosted tier includes unlimited users and workflows, while giving teams control over data location.
• Con: Hobby stops at 5,000 monthly runs, and Pro and Business charge $5 per additional 10,000 runs.
• Con: Model-provider costs are separate, so the subscription is not the complete operating cost.
• Con: Self-hosting requires teams to manage deployment, storage, the runner, upgrades, and backups.
• Con: Hobby and Pro rely on community support through GitHub Issues; priority support begins with Business.

Alternatives

Choose Confident AI if its free plan's two seats, one project, five weekly test runs, and 1 GB-month of trace spans better match a small evaluation-focused setup. Consider Helicone if an open-source product with a free tier and free trial is a closer fit. Langfuse offers a free Hobby plan with 50k units per month, 30 days of data access, and two users, or a $29/month Core plan; it is worth comparing when those usage and retention terms fit better. LangSmith has a free Developer plan with one seat and up to 5k base traces per month before pay-as-you-go, and a $39 Plus plan, which may suit readers comparing trace-based plans. Maxim AI has a free Developer plan with up to three seats, one workspace, 10k logs per month, and three-day retention, plus a free trial on its paid offering. Opik is another free option, with its core observability and evaluation features available as open-source code to run locally. Portkey offers a free Developer plan with 10k recorded logs per month, three days of log retention, and 30 days of metrics retention. PromptLayer may be a better fit when its free plan's five users, 2.5k requests per month, one workspace, and 250 evaluation cell executions are sufficient.

For broader comparisons, browse AI LLM Observability Tools, AI Prompt Generators, AI Agent Observability Tools, AI Prompt Management Software, and Prompt Management Software.

Verdict

Agenta is a strong choice for teams that want agent creation, integrations, automation, and run oversight together, particularly when self-hosting or business access controls matter. Its main advantages are workflow breadth and a free self-hosted route; its main drawbacks are cloud quotas, separate provider charges, and the operational work of self-hosting. Choose it when those trade-offs fit your team's workflow and infrastructure capacity, and look elsewhere if you need bundled model costs or higher cloud volume without overage charges.