create_agentic_memory

Overview

The Agentic Memory system provides advanced memory management capabilities that enable LLM agents to dynamically organize and utilize memories through autonomous decision-making. Unlike traditional static memory storage, this system implements intelligent memory operations inspired by cognitive architectures.

Key Capabilities ✨

Dynamic Memory Organization

• 🔄 Zettelkasten-inspired knowledge networking

• 🔗 Auto-generated memory relationships

• 🧩 Context-aware memory clustering

Intelligent Memory Operations

• 🔍 Semantic indexing with multi-modal tagging

• 📈 Adaptive retention/forgetting mechanisms

• 🤖 Autonomous memory refinement cycles

Agent-Memory Interaction

• 🌐 State-aware memory activation

• 🎯 Task-specific memory prioritization

• 🔄 Bidirectional memory-agent influence

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API Integration

Create Agentic Memory

Function: create_agentic_memory() Purpose: Store memories with autonomous organization capabilities

Parameters:

Parameter	Type	Description
agent_name	str	Agent namespace identifier
content	str	Memory text with contextual signals
metadata	dict	Structured attributes (see below)
base_url	str	API endpoint

Example:

response = create_agentic_memory(
    agent_name="research_bot"
    content="Breakthrough in protein folding: Achieved 92% accuracy...",
    metadata={
        "system": "scientific_discovery"
    }
)

Response Structure:

{
    "success": true,
    "memory_id": "mem_abc123",
    "content": null,
    "metadata": null,
    "error": null
}

AIOS Kernel will automatically use agentic memory to help you organize your memory.

Reference:

@article{xu2025mem,
  title={A-mem: Agentic memory for llm agents},
  author={Xu, Wujiang and Liang, Zujie and Mei, Kai and Gao, Hang and Tan, Juntao and Zhang, Yongfeng},
  journal={arXiv preprint arXiv:2502.12110},
  year={2025}
}

For implementation details and experimental results, see our official repository and research paper.