by vstorm-co · Agent Tool · ★ 55
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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.
The top alternatives to agentcanvas on Agent Skills Hub include tma1, langfuse-mcp, agent-trace. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.