Overview

Agenta brings together agent templates, automation, and run monitoring. Templates span engineering, customer support, sales, company knowledge, and operations; teams can work with AI coworkers through Slack or Telegram. Connections include Notion, GitHub, HubSpot, Google Drive, Linear, Zendesk, and Discord, with support for more than 1,000 integrations. That range is useful for teams looking to connect agents to existing services rather than keep them confined to a prompt workspace.

Scheduled and event-triggered runs support recurring or responsive workflows. Traces, execution logs and errors, version history, evaluations, and token usage with estimated model costs give teams ways to review behavior and investigate failures. 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 credentials and pay model providers directly, so the subscription is only part of the cost.

Key features

Agent building and monitoring

The template range gives teams starting points across several departments, while scheduling and event triggers can move agents from experimentation into routine work. Monitoring includes run traces and errors as well as evaluations, version history, and token usage. This makes Agenta a broader choice than a prompt-only tool for teams that need both automation and operational visibility.

Cloud or self-hosted

Cloud plans avoid operating the application stack, while self-hosted users deploy and maintain the application, storage, agent runner, upgrades, and backups themselves. Self-hosting lets an organization control where data is stored, but transfers ongoing infrastructure and maintenance responsibility to its own team. The open-source plan is generous on users and workflows, though it is not a managed service.

Mobile access and governance

The mobile app supports chatting with agents, continuing conversations, handling tool approvals, and managing workspaces from a phone. Business adds role-based access control, SSO, and a SOC 2 Type II report; Enterprise adds audit logs and custom security and legal terms. These controls make the higher cloud tiers more relevant to organizations with access-management or compliance requirements.

Pricing

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 constrained trial ground rather than a fit for sustained, higher-volume workflows.

Open source: Free forever for self-hosting, with unlimited users, projects, agents, workflows, schedules, and event triggers. Trace retention is self-managed, and users bring their own models and credentials. Choose it when infrastructure control matters and the team can operate the stack.

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 practical step up for teams that outgrow Hobby's seat and run caps without needing Business governance controls.

Business: $299/month, with 10,000 runs per month and the same $5 per additional 10,000 rate, plus RBAC, SSO, a SOC 2 Type II report, and three-month trace retention. It suits teams that need those controls and longer trace history; the substantial price jump over Pro is hard to justify without them.

Enterprise Cloud and Enterprise self-hosted have custom pricing. Cloud includes custom usage and trace retention, audit logs, custom domains, dedicated support, and a custom SLA. Self-hosted adds audit logs, custom domains, deployment and upgrade support, dedicated support, and a custom SLA. Both are aimed at organizations needing tailored terms and support rather than a fixed plan.

Hobby and Pro include community support through GitHub Issues; Business includes priority support and a private Slack Connect channel. Model-provider charges are always separate and paid directly to providers, so teams should budget for usage beyond Agenta's plan fee.

Platforms

Agenta is available as a web product, API, and self-hosted software. Its mobile app covers conversations, approvals, and workspace management from a phone.

Who it's for

Agenta is best suited to teams building agents for business workflows that need integrations, scheduled or event-triggered execution, and visibility into runs. It also fits organizations that want to choose between managed cloud and self-hosting. It is less suitable for a team seeking a fully inclusive price: cloud run allowances are finite, and model charges remain separate.

Pros and cons

Broad agent workflow coverage: templates, schedules, and event triggers support use beyond prompt experiments.
Useful operational visibility: traces, logs, errors, evaluations, version history, and token estimates help teams inspect agent behavior.
Flexible deployment: cloud plans reduce operational work, while self-hosting gives teams control over data location.
Cloud limits can constrain growth: Hobby stops at 5,000 monthly runs, and Pro and Business include 10,000 before overage charges.
Provider costs are extra: users supply credentials and pay model providers directly.
Self-hosting requires ownership: teams must manage the application, storage, runner, upgrades, and backups.

Alternatives

For prompt optimization rather than a full agent workspace, MLflow Prompt Optimization is free and open source, with self-hosted or cloud-provider-managed deployment; optimization costs depend on the reflection model.

ProofHound is another freemium option, with a free plan capped at three projects, one member, three concurrent LLM calls, 5GB retained project storage, and 200MB per dataset upload.

For prompt operations with defined request and evaluation allowances, PromptLayer offers a free tier for five users, 2.5k requests per month, one workspace, and 250 evaluation cell executions per month.

PromptEval is a narrower alternative for prompt checks, with a free plan covering three web evaluations per month, ten API lint checks, and a library of up to five prompts.

Promptitude offers a free tier for small assistant and flow setups, capped at two users, five prompts, two assistants, one flow, one tool, 100 generations per month, and 200 tool calls per month.

Promptic has a free plan for one user and one AI application, with 200K Promptic Credits per month, 14-day retention, and bring-your-own model keys.

Promptotype is a web-based alternative with a free prompt engineering playground, expected-result test queries, and code generation from playground input.

PromptWizard is another alternative.

For category-wide comparisons, see AI Prompt Generators, AI Prompt Management Software, Prompt Management Software, AI LLM Observability Tools, and AI Agent Observability Tools.

Verdict

Choose Agenta if your team wants to build and automate AI coworkers across workplace integrations while monitoring their runs, with the option to host the stack yourself. Its main advantage is the combination of workflow tooling and observability; look elsewhere if you need predictable all-in pricing or cannot absorb cloud run caps, separate model charges, or self-hosting duties.

	Agenta	PromptPerfect
Free plan	Yes	Yes
Free trial	No	No
Paid from	$29/mo	Free
Open source	No	No
Platforms	api, self-hosted, Web	api, extension, Web
Free plan	Yes	Yes
Paid from	29 /mo	—
Prompt testing	Yes	—
Model support	—	multiple
Optimization mode	—	automated
API access	—	Yes

Agenta vs PromptPerfect

Agenta

PromptPerfect