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Self-Improving Agent (With Self-Reflection)

精選

Self-reflection, self-criticism, and self-learning framework that lets your AI agent evaluate its own work, catch mistakes, and permanently improve through a tiered memory system.

Ivánv1.0.0
Productivity & Tasks
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正在連線至 VM...
npx clawhub@latest install self-improving
395目前安裝數
178累計安裝數
v1.0.0版本
查看原始碼(ClawHub)

Self-Improving Agent is a behavioral framework that adds self-reflection, self-criticism, self-learning, and self-organizing memory to your AI agent. The agent evaluates its own work after completing tasks, catches mistakes through automatic detection triggers, and stores learnings in a persistent tiered memory system that compounds knowledge over time without manual maintenance.

運作原理

The skill creates a ~/self-improving/ directory with a tiered memory structure: HOT memory (memory.md, always loaded, up to 100 lines), WARM storage (per-project and per-domain files loaded on demand), and COLD archive for decayed patterns. The agent automatically detects corrections, preference signals, and repeating patterns during conversation, logging them to corrections.md and promoting entries to HOT memory after they are validated three times. Patterns unused for 30 days are demoted to WARM, and those unused for 90 days are archived to COLD.

核心功能

Self-Reflection
Agent pauses after significant work to evaluate whether the outcome met expectations and what could be improved
Automatic Detection Triggers
Recognizes corrections, preference signals, and repeating patterns from natural conversation
Tiered Memory System
HOT (always loaded, 100 lines max), WARM (per-project/domain, on demand), and COLD (archived) storage tiers with automatic promotion and demotion
Corrections Log
Maintains the last 50 corrections with context, reflection, and lesson entries
Pattern Promotion
Tracks candidate patterns and promotes them to permanent memory after 3 successful validations in 7 days
Memory Queries
Ask what the agent knows, view recent learnings, check memory stats, or export the entire memory
Namespace Isolation
Separate memory files per project and domain with inheritance (global to domain to project)
Conflict Resolution
Most specific wins (project over domain over global), most recent wins at the same level

系統需求

File System Access
The agent needs read/write access to the ~/self-improving/ directory

使用情境

Long-Running Projects
Maintain context and learnings across hundreds of agent sessions without repeating yourself
Coding Workflows
Agent remembers your coding conventions, preferred patterns, and past mistakes
Quality Improvement
Agent self-evaluates after multi-step tasks to catch issues before you do
Preference Learning
Stop repeating instructions by letting the agent permanently record your preferences
Knowledge Compounding
Build up domain-specific expertise over time that persists across conversations

安裝方式

1
Run in your terminal
npx clawhub@latest install self-improving
or
2
Click the Install button at the top of this page for one-click setup

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