> For the complete documentation index, see [llms.txt](https://docs.aios.foundation/aios-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aios.foundation/aios-docs/aios-kernel/memory/agentic-memory-operations.md).

# Agentic Memory Operations

| **System Behavior**                              | **Evolution Operation**                                                                                                                                   |
| ------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Automatic Merging of Highly Similar Memories** | Identifies memories with content/semantic duplication exceeding thresholds, generates unified memory nodes, and establishes knowledge graph associations. |
| **Dynamic Context Association Updates**          | Detects context drift, reconstructs semantic networks, and optimizes cross-scenario context anchors.                                                      |
| **Intelligent Tag Unification**                  | Analyze tag semantic overlap, create standardized tag systems, and build multi-level classification indices.                                              |
| **Autonomous Linking**                           | Recognizes temporal patterns and constructs chronological memory chains.                                                                                  |

**Execution Flow**:

1. Input sanitization
2. LLM-based semantic parsing
3. JSON schema validation
4. Error recovery mechanisms

**Example Transformation**:json

```json
# Input
"Discovered new protein folding mechanism using AlphaFold2"

# Output
{
    "keywords": ["protein_folding", "AlphaFold2", "biochemical_discovery"],
    "context": "Scientific discovery in computational biology",
    "tags": ["AI_research", "biochemistry", "machine_learning"]
}
```

**Evolution JSON Schema**:

```json
{
    "should_evolve": true,
    "evolution_type": ["merge", "context_update"],
    "affected_memories": ["mem_123", "mem_456"],
    "evolution_details": {
        "new_context": "Advanced protein folding techniques",
        "new_relationships": ["ML_models", "drug_discovery"]
    }
}
```