memorylayer-server 0.0.3

MemoryLayer.ai - API-first memory infrastructure for LLM-powered agents (open source core)

MemoryLayer.ai

API-first memory infrastructure for LLM-powered agents.

MemoryLayer provides cognitive memory capabilities for AI agents, including episodic, semantic, procedural, and working memory with vector-based retrieval and graph-based associations.

Features

• Cognitive Memory Architecture: Episodic, Semantic, Procedural, and Working memory types
• Vector Search: SQLite with sqlite-vec for efficient similarity search
• Graph Associations: 25+ relationship types for memory connections
• MCP Integration: Model Context Protocol server for Claude and other LLMs
• REST API: FastAPI-based HTTP server
• Multiple Embedding Providers: OpenAI, Qwen3-VL, vLLM, sentence-transformers

Installation

# Basic installation
pip install memorylayer-server

# With OpenAI embeddings
pip install memorylayer-server[openai]

# With local embeddings (sentence-transformers)
pip install memorylayer-server[local]

# With multimodal support (Qwen3-VL)
pip install memorylayer-server[multimodal]

# All embedding providers
pip install memorylayer-server[embeddings]

Quick Start

HTTP Server

# Start the REST API server
memorylayer serve --port 8080

MCP Server

# Start MCP server for Claude integration
memorylayer mcp

API Usage

from memorylayer import MemoryLayerClient

client = MemoryLayerClient(base_url="http://localhost:8080")

# Store a memory
memory = await client.remember(
    content="User prefers Python for backend development",
    type="semantic",
    importance=0.8,
    tags=["preferences", "programming"]
)

# Recall memories
results = await client.recall(
    query="What programming languages does the user like?",
    limit=5
)

License

Apache 2.0 License - see LICENSE for details.