Agent Visualiser is an open-source web application that provides interactive visualizations of AI agent workflows. It captures each decision node, chain call, agent action, and memory retrieval to render a clear, step-by-step graph. Developers can drill into individual steps, inspect inputs and outputs, and track state changes. It integrates easily with LangChain-based agents and popular LLM frameworks.
Agent Visualiser is an open-source web application that provides interactive visualizations of AI agent workflows. It captures each decision node, chain call, agent action, and memory retrieval to render a clear, step-by-step graph. Developers can drill into individual steps, inspect inputs and outputs, and track state changes. It integrates easily with LangChain-based agents and popular LLM frameworks.
Agent Visualiser is a developer-focused visualization tool that maps the internal operations of AI agents into intuitive graphical flows. It hooks into an agent’s runtime, capturing every prompt, LLM call, decision node, action execution, and memory lookup. Users can view these steps in an interactive graph, expand nodes to inspect parameters and responses, and trace back the logic path that led to each outcome. The tool supports LangChain agents out of the box, but can be adapted for other frameworks via simple adapters. By providing real-time insights and detailed step breakdowns, Agent Visualiser accelerates debugging, performance tuning, and knowledge sharing across development teams.
Who will use Agent Visualiser?
AI developers
ML engineers
Data scientists
AI researchers
Technical educators
How to use the Agent Visualiser?
Step1: Clone the GitHub repository and install dependencies
Step2: Configure your AI agent runtime to send execution logs to Agent Visualiser
Step3: Run the visualiser server and open the web interface in a browser
Step4: Integrate the visualiser SDK or adapter into your LangChain agent
Step5: Execute your agent and monitor the live workflow diagrams
Platform
web
mac
windows
linux
Agent Visualiser's Core Features & Benefits
The Core Features
Graphical visualization of agent workflows
Interactive inspection of prompts, calls, and responses
Real-time monitoring of agent execution
Support for LangChain-based agents
Memory retrieval and trace viewing
The Benefits
Accelerates debugging of complex agent logic
Improves transparency of automated workflows
Enhances collaboration via shareable visual reports
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