Agenta

Agenta brings agent building, workflow automation, and run monitoring into a workspace for teams that want AI coworkers in services such as Slack or Telegram. It is a strong fit for teams that need connected, inspectable agents or want to self-host; cloud users should weigh monthly run caps and separate model charges against the convenience.

Overview

Agenta combines templates for engineering, customer support, sales, company knowledge, and operations with scheduled and event-triggered runs. That breadth makes it relevant to teams automating recurring or responsive work across departments, rather than only developers experimenting with prompts. Its homepage names Slack, Notion, GitHub, HubSpot, Google Drive, Linear, Zendesk, and Discord, and says it supports more than 1,000 integrations.

For teams monitoring agent behavior, traces, execution logs and errors, version history, evaluations, and token usage with estimated model costs provide useful context for reviewing runs and investigating problems. The platform 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 credentials and pay model providers directly, so subscriptions do not cover model usage.

Key features

Agent creation and automation

Pre-built templates give teams starting points across five functional areas, while scheduled and event-triggered runs allow work to happen on a timetable or in response to events. Teams can work with agents in Slack or Telegram, which suits workflows that benefit from meeting users in those channels. The template range and integration catalog offer flexibility, but teams should choose Agenta for its combined agent and workflow scope rather than assume every connection will fit a particular process.

Run observability and prompt work

Traces, execution logs, errors, version history, evaluations, and token usage with estimated model costs make it easier to follow run behavior and assess changes. Prompt testing, versioning, templates, access controls, and API or SDK access extend the workspace beyond agent configuration. The listed trace retention varies by plan, so teams that need a longer record should compare tiers before committing.

Mobile access

The mobile app supports chatting with agents, continuing conversations, handling tool approvals, and managing workspaces from a phone. That is useful for teams that need to respond to approvals away from a desktop, though the feature set described is focused on agent conversations and workspace management.

Pricing

Agenta uses a freemium model. The free cloud Hobby plan costs nothing (billed $0 forever) and includes 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 Hobby suitable for small trials or low-volume use, but a poor fit for workflows that cannot pause when the allowance is exhausted.

Pro costs $29 a month (billed $29/month) and removes the seat limit, includes 10,000 runs per month, allows unlimited evaluations, and retains traces for one month. Additional runs cost $5 per 10,000. It is the more practical cloud option for teams that have outgrown Hobby’s seat and evaluation caps, though usage beyond the included runs adds cost.

Business costs $299 a month (billed $299/month). It includes 10,000 runs per month, with additional runs at $5 per 10,000, three-month trace retention, role-based access control, SSO, and a SOC 2 Type II report. Priority support and a private Slack Connect channel give teams a stronger support path; its higher price is most defensible when those controls, retention, or support matter.

Enterprise Cloud and Enterprise self-hosted use custom pricing. Cloud Enterprise includes custom usage and trace retention, audit logs, custom domains, dedicated support, and a custom SLA. Self-hosted Enterprise adds deployment and upgrade support alongside audit logs, custom domains, dedicated support, and a custom SLA. Both are aimed at organizations that need terms or support beyond the standard tiers.

The free Open source plan costs nothing (billed Free forever) and provides self-hosting, unlimited users, projects, agents, workflows, schedules, and event triggers, self-managed trace retention, and the ability to bring models and credentials. It avoids cloud run quotas and subscription charges, but shifts responsibility for deploying and operating the application, storage, and agent runner, as well as upgrades and backups, to the team. Self-hosters control where data is stored. Across plans, model-provider charges are separate and paid directly to providers.

Platforms

Agenta is available through the web, API, and self-hosting. Cloud plans suit teams that prefer a managed option; self-hosting suits those prepared to operate the application and its supporting infrastructure in exchange for control over data location and deployment. The mobile app adds agent conversations, approvals, and workspace management from a phone.

Who it's for

Agenta is best suited to teams building AI coworkers for several business functions, connecting them to workplace tools, and needing run-level visibility. Pro fits teams seeking more seats and evaluation capacity than Hobby provides; Business is better for teams that need SSO, role-based access control, a SOC 2 Type II report, or priority support. Self-hosting is a sensible choice for technically equipped teams that value infrastructure and data-location control. Hobby is appropriate for a small, low-volume evaluation, not sustained workloads above its hard run limit.

Pros and cons

• Pros: Templates, event and scheduled automation, and run observability share one workspace, serving teams that want to build and inspect agents in the same place.
• Pros: More than 1,000 integrations and support for multiple model providers give teams options for connecting existing services and choosing models.
• Pros: Free self-hosting includes unlimited users, projects, agents, workflows, schedules, and event triggers, with control over data location.
• Cons: Hobby runs stop at 5,000 per month, and the plan also limits seats, evaluations, and trace retention.
• Cons: Model charges are separate, while self-hosting requires teams to handle deployment, storage, the agent runner, upgrades, and backups.
• Cons: Business costs $299 a month, a substantial step up from Pro for teams whose primary need is only additional run capacity.

Alternatives

For teams focused on LLM run monitoring, Langfuse is an alternative with API, web, and self-hosted platforms; its Hobby plan includes 50k units per month, 30 days of data access, two users, and community support via GitHub. Vellum may suit readers who want a freemium option spanning Android, iOS, macOS, Windows, web, extension, and self-hosted platforms; its Free plan starts with included tasks and pay-as-you-go credits.

For readers comparing prompt-management categories, see Prompt Management Software, AI Prompt Management Software, or AI Prompt Generators. Teams prioritizing run oversight can also compare AI LLM Observability Tools and AI Agent Observability Tools.

PromptHelm is another freemium option, with a free trial and API, web, iOS, Android, and self-hosted platforms. Impromptо, Modular Prompt Library, Prompt Assay, PromptDocker, and PromptFluent are also alternatives.

Verdict

Choose Agenta if your team wants to build and automate AI coworkers while tracking their runs, with the option to use cloud plans or operate the software yourself. Its combination of templates, integrations, automation, and observability is the central reason to choose it. Look elsewhere if your cloud workload cannot tolerate hard run limits, if you need model costs bundled into the subscription, or if your team cannot take on the infrastructure work required for self-hosting.