Kosmoy AI Observability vs PetalTrace
Kosmoy AI Observability
kosmoy.comPetalTrace
docs.petallabs.ioSide by side
| Figure | Kosmoy AI Observability | PetalTrace |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · AI Agent Observability Tools | 7.2 (#29) | 8.4 (#11) |
| Deployment | Kosmoy is single-tenant software deployed in the customer's Kubernetes environment, including cloud, on-premises and air-gapped deployments. | The repository README documents building PetalTrace from source or downloading a release binary and running its daemon locally. |
| Integrations | The platform page lists integrations including OpenAI, Anthropic, Google, Azure AI Foundry, AWS Bedrock, MCP servers, A2A peers, Snowflake, Databricks, Pinecone and Weaviate. | The MCP server lets AI agents query trace history, inspect prompts, analyze costs, compare runs, and trigger replays; the docs include Claude Code configuration. |
| Purpose | Kosmoy records production model and agent traces, including retrieval, tool calls, guardrail decisions, latency, cost, evaluations and feedback. | PetalTrace is an agent observability platform for inspecting AI agent workflows and their execution lifecycle. |
Plans
In their own words
Kosmoy AI Observability
Kosmoy AI Observability has no write-up on Specifiction yet; its figures are above.
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.