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Cxz9909 Agent Memory

by @cxz9909

Persistent memory system for AI agents to remember facts, learn from experience, track entities, and recall context across sessions.

Versionv1.0.0
Installs1
⚑ When to Use
TriggerAction
- **After conversations**: Store important facts
- **After failures**: Record lessons learned
- **Meeting new people/projects**: Track as entities
πŸ’‘ Examples

from src.memory import AgentMemory

mem = AgentMemory()

Remember facts

mem.remember("Important information", tags=["category"])

Learn from experience

mem.learn( action="What was done", context="situation", outcome="positive", # or "negative" insight="What was learned" )

Recall memories

facts = mem.recall("search query") lessons = mem.get_lessons(context="topic")

Track entities

mem.track_entity("Name", "person", {"role": "engineer"})

View on ClawHub
TERMINAL
clawhub install cxz9909-agent-memory

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