agenticx-memory-architectlisted
Install: claude install-skill opencue/claude-code-skills
# AgenticX Memory Architect
Guide for building agents with persistent memory capabilities.
## Overview
AgenticX integrates with Mem0 for long-term memory, providing agents with the ability to remember past interactions, learn from experience, and maintain context across sessions.
## Installation
```bash
pip install "agenticx[memory]"
# Includes: mem0, chromadb, qdrant-client, redis, milvus
```
## Memory System Components
| Component | Purpose |
|-----------|---------|
| `MemoryManager` | Core memory management interface |
| `Mem0Integration` | Bridge to Mem0's memory engine |
| `ContextMemory` | Short-term, session-scoped memory |
| `LongTermMemory` | Persistent, cross-session memory |
## Basic Memory Usage
### Initialize Memory
```python
from agenticx.memory import MemoryManager
memory = MemoryManager(
provider="mem0",
config={
"llm": {"provider": "openai", "config": {"model": "gpt-4"}},
"vector_store": {"provider": "chroma"}
}
)
```
### Store and Retrieve
```python
# Add a memory
memory.add(
content="User prefers concise reports with bullet points",
user_id="user-123",
agent_id="analyst"
)
# Search memories
results = memory.search(
query="What format does the user prefer?",
user_id="user-123"
)
for r in results:
print(f"[{r.score:.2f}] {r.content}")
# Get all memories for a user
all_memories = memory.get_all(user_id="user-123")
```
## Memory-Enhanced Agents
### Attach Memory to an Agent
```python
from age