Agenta vs PromptMetrics
Agenta
agenta.aiPromptMetrics
github.comSide by side
| Figure | Agenta | PromptMetrics |
|---|---|---|
| Price from | $29/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 8 | 0 |
| Spec score · Prompt Management Software | 9.3 (#1) | 7.5 (#21) |
| Spec score · AI Prompt Management Software | 9.3 (#1) | 7.5 (#21) |
| Headquarters | Berlin, Germany | Berlin, Germany |
| Observability | The pricing page lists traces for agent runs, execution logs and errors, version history, evaluations, and token usage with estimated model costs. | It logs LLM request metadata such as model, tokens, latency, cost, and custom tags, and can export data through OpenTelemetry. |
| SDKs | The quick-start documentation provides a Python SDK installed with pip and JavaScript/TypeScript API examples. | The project lists Node.js and Python SDKs for programmatic access. |
| What it does | Agenta is a collaborative workspace for building AI agents and automations through chat, with cloud or self-hosted deployment. | PromptMetrics is a lightweight, self-hosted prompt registry for versioning prompts and tracking LLM activity. |
Plans
Agenta
- HobbyFree
- Open sourceFree
- Pro$29 a month
- Business$299 a month
- EnterprisePriced on request
- Enterprise (Cloud)Priced on request
- Enterprise (self-hosted)Priced on request
- Enterprise self-hostedPriced on request
In their own words
Agenta
Agenta is an open-source workspace for teams building and automating AI coworkers. Teams can interact with agents in Slack or Telegram, start from templates for engineering, customer support, sales, company knowledge, and operations, and run them on a schedule or in response to events. Its observability tools include traces, logs, errors, version history, evaluations, and token usage with estimated model costs. Agenta connects with services 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, and others. Cloud Hobby is free and allows two team members and 5,000 runs monthly; runs stop at that limit. Pro costs $29 a month and includes 10,000 runs monthly, with extra runs priced at $5 per additional 10,000. Model-provider charges are separate. Self-hosting is available, with users operating the application, storage, runner, upgrades, and backups in their own infrastructure. A mobile app supports agent conversations, approvals, and workspace management.
PromptMetrics
PromptMetrics is a free, open-source, self-hosted prompt registry for managing prompt versions and observing LLM activity. Prompts can be stored, retrieved, and rolled back through a REST API or CLI, with changes recorded in Git. The system logs request metadata including model, tokens, latency, cost, and custom tags, and exports data to stdout JSON or OpenTelemetry. It also tracks agent traces, spans, workflow runs, and prompt versions labeled by environment. Evaluation suites can run against datasets with budget tracking, while A/B tests compare prompt versions and can promote a winner. A compliance scanner checks prompts for PII, API keys, URLs, and IP addresses, then assigns risk scores. Its playground can proxy calls for OpenAI, Anthropic, Cohere, Ollama, and Azure OpenAI. Prompt content can use filesystem, GitHub, or S3 storage; metadata can use SQLite or PostgreSQL. Interfaces include a REST API, CLI, optional Next.js dashboard, and Node.js and Python SDKs. Installation options include npm, Docker Compose, and building from source. The repository identifies the license as MIT.