PetalTrace vs VoltOps
PetalTrace
docs.petallabs.ioVoltOps
voltagent.devSide by side
| Figure | PetalTrace | VoltOps |
|---|---|---|
| Price from | Free | $50/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · AI Agent Observability Tools | 8.4 (#11) | 7.7 (#27) |
| Deployment | The repository README documents building PetalTrace from source or downloading a release binary and running its daemon locally. | Deployment offers custom domains, automatic SSL provisioning and renewal, real-time logs, and HTTP Basic Auth. |
| Intended users | The documentation describes PetalTrace as an observability platform for developers working with AI agent workflows. | The pricing page describes Core as for small teams and production, Pro as for larger teams with advanced needs, and Enterprise as for large-scale deployments. |
| Maker | Petal Labs' GitHub organization describes the company as building modular, composable tools for agentic AI systems and lists its location as the United States of America. | The pricing page identifies the maker as VoltAgent Inc. |
Plans
In their own words
PetalTrace
PetalTrace is an open-source observability platform for developers examining AI agent workflows. It captures prompts and completions, tool calls, token use, costs, and execution timelines, with a React web interface plus CLI, HTTP API, and MCP server access. Full prompt capture can include system prompts, message history, tool definitions, and model responses. Users can search prompt and completion text, compare runs for structural, content, and cost differences, and replay runs with changed models or temperatures or in mocked mode. The platform accepts standard OpenTelemetry traces, including from applications that do not use PetalFlow. PetalFlow integration adds graph topology, node inputs and outputs, and replay-capable snapshots. Trace data is documented as stored in SQLite, and the software can be built from source or run from a release binary as a local daemon. Authentication is described as future functionality and disabled by default. The public repository identifies an MIT license; no commercial pricing or usage limits are stated.
VoltOps
VoltOps is a console for observing, automating, evaluating, deploying, and managing AI agents, with prompt management and guardrails. It traces LLM calls, tool executions, and agent interactions, with session replay and payload inspection. Alerts can cover latency, errors, and token usage, with notifications through Slack, email, or webhooks. Evaluation tools include reusable datasets, queued parallel test cases, multiple scorers, and comparisons across runs. Prompt management versions edits, supports rollback and promotion to staging or production, and handles JSON import and export. Automation provides actions for Airtable, Discord, and Gmail, plus triggers for Slack messages, Gmail emails, GitHub webhooks, and Airtable updates. RAG supports document uploads, Notion syncing, and website crawling without setting up a vector database. Deployment includes custom domains, SSL provisioning and renewal, real-time logs, and HTTP Basic Auth. The Developer plan costs nothing and includes one seat, project, and prompt, plus 250 traces per month and seven days of retention. Core costs $50 a month; Pro costs $250 a month. Both include a 14-day free trial. Enterprise pricing is custom and includes self-hosted deployment.