Inspect and manage AI agent context, memory, and logs on Windows
Inspect AI agent memory and context windows in real time: Magic Context Dashboard visualizes context state, session stores, and Broca logs for debugging. Built by CortexKit as a desktop management and diagnostic interface, the Dashboard pairs with the Magic Context CLI and plugins to monitor persistent memory and session history. Key tools include real-time context visualization, SQLite session management, a diagnostic 'doctor' command, and a Browser Mode for WebView issues. It suits developers and AI engineers troubleshooting agent memory coherence.
What the Dashboard actually monitors and controls
The Dashboard surfaces internal AI agent state, showing context window usage, memory compartments, and Broca logs that record agent planning and tool calls. It connects to the Magic Context framework and reads SQLite-based session stores and configuration files, so you can examine message history and memory entries without modifying the agent code. The app runs alongside the Magic Context CLI and plugins, letting developers inspect how an agent's hippocampus for LLMs evolves during long-running tasks.
Does it affect desktop performance during use?
The app uses the Tauri runtime, which the developer cites to keep system impact low. In practice, that means the Dashboard runs as a lightweight desktop application rather than a heavyweight browser process, and Browser Mode exists to bypass local WebView rendering when display issues appear or when running inside WSL2. These design choices keep resource use modest while the tool reads SQLite session stores and streams log data.
Is it safe to use in a development environment?
The Dashboard follows a local-first data model, operating on local SQLite session stores and configuration files to preserve privacy and speed. It visualizes Broca execution logs and provides integrated 'doctor' commands for diagnostic reporting, so troubleshooting stays on the machine rather than sending raw session data elsewhere. The tool can connect to local models or remote API endpoints depending on your Magic Context setup, which keeps control of model access in the developer's hands.
Do I need specialist knowledge to operate it correctly?
The Dashboard targets software developers and AI engineers working with the Magic Context framework, so familiarity with session stores, CLI workflows, and LLM context concepts is expected. Browser Mode and the diagnostic command set address common display and troubleshooting cases, but effective use requires understanding of agent planning logs and how the Magic Context plugins integrate with an agent's memory system.
Practical diagnostic tool for developers with one integration trade-off
The Dashboard delivers targeted visibility into agent memory and execution traces, making it useful for teams debugging long-term context issues. A practical tip: run the 'doctor' commands and inspect Broca logs locally before applying configuration changes. The main limitation is that the tool presumes familiarity with Magic Context workflows and session stores, so developers new to the framework will face a learning curve.
