by vstorm-co · Agent Tool · ★ 55
agentcanvas See exactly how your AI agent works. Turn Pydantic AI runs logged to Logfire into a polished, animated diagram of the whole workflow — every model call, tool, nested sub-agent, token and dollar. Features · Quick start · How it works · Architecture · Contributing Click any node for a full inspector — tokens, exact cost, reasoning, the tools the model could call. The full multi-turn conversation, with tool calls and reasoning. Per-tool input, output and timing. A guided tour (auto or manual) narrates each step for client demos. <a href="https://
| Stars | 55 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.9458716263696/100 |
| Last Updated | 2026-06-17 |
| Created | 2026-06-12 |
| Platforms | python |
| Est. Tokens | ~15k |
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agentcanvas is Visualize Pydantic AI agent workflows from Logfire traces as an interactive HTML diagram — tools, nested sub-agents, tokens and exact cost.. It is categorized as a Agent Tool with 55 GitHub stars.
agentcanvas is primarily written in Python. It covers topics such as agents, ai-agents, genai.
You can find installation instructions and usage details in the agentcanvas GitHub repository at github.com/vstorm-co/agentcanvas. The project has 55 stars and 4 forks, indicating an active community.
agentcanvas is released under the MIT license, making it free to use and modify according to the license terms.