Self-Improving Agent

advancedproductivityMin 64K context

Records learnings, mistakes, and corrections to enable continuous improvement of AI agent behavior. Maintains a structured memory of failures, user corrections, outdated knowledge, and discovered better approaches. Reviews past learnings before executing important tasks to avoid repeating mistakes.

agent self-improvement memory learning automation error-tracking

Use Cases

Recording command failures and their resolutions for future reference
Tracking user corrections to avoid repeating wrong approaches
Maintaining a knowledge base of project-specific patterns and preferences
Reviewing past learnings before executing similar tasks
Discovering and documenting better methods for recurring workflows

Example Prompt

A command just failed unexpectedly. Record this learning:

Context: [what you were trying to do]
Command/Action: [what failed]
Error: [error message or unexpected behavior]
Root cause: [why it failed]
Correct approach: [what works instead]
Prevention: [how to avoid this in the future]

Store this in the learnings file and review relevant learnings
before executing similar tasks in the future.

Recommended Models

claude-opus-4-7 gpt-5-5 deepseek-v4 gemini-2-5-pro

Compatible Tools

claude-codekiroopencodeany

Modalities

Input: text, code

→

Output: text, file

Author

OpenModels Community

@openmodelsrun