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Dart Memory

skill-dhruvanbhalara-skills-dart-memory · by dhruvanbhalara

Manage memory efficiently in Dart and Flutter apps to prevent leaks and reduce GC pressure. Use when disposing resources, handling large assets, optimizing image caching, or profiling allocation patterns.

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Install

$ agentstack add skill-dhruvanbhalara-skills-dart-memory

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Memory Management

Mobile devices have limited RAM. Efficient memory management is critical to prevent crashes and ensure a smooth user experience.

Resource Lifecycle

  • Explicit Disposal: Always close StreamController, Timer, FocusNode, and ChangeNotifier in the dispose() method.
  • Late Initialization: Use late to delay object creation until it's actually needed, reducing initial memory footprint.

Garbage Collection (GC) Pressure

  • Generational GC: Dart's GC is optimized for short-lived objects. However, creating thousands of objects in a single frame can still cause jank.
  • Object Re-use: Avoid creating new objects in build() or high-frequency loops. Reuse data structures where possible.
  • Large Collections: Clearing a large list (list.clear()) is better than re-assigning it to a new list if the list itself is long-lived.

Mobile Specifics

  • Isolates: Use Isolate.run() for heavy computations (JSON parsing > 1MB, image processing). This keeps the main thread free and prevents UI freezes.
  • Image Memory: Use cacheWidth and cacheHeight in Image.network or Image.asset to avoid loading high-resolution images into memory at full size.
  • Memory Leaks: Use the DevTools Memory View to identify "leaking" objects that stay in the heap after their context (like a screen) is closed.

Large Data Handling

  • Pagination: Never load entire datasets into memory. Use server-side or local database pagination (Isar, SQLite).
  • Streaming: For large files or real-time data, use Stream to process data in chunks rather than buffering the entire content in memory.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.