Lucy
82328b0a45
REST API for per-agent semantic memory retrieval.
- FastAPI server with /api/{agent}/save and /api/{agent}/query
- ChromaDB for persistent vector storage
- all-MiniLM-L6-v2 via sentence-transformers for embeddings
- Per-agent collections for clean separation
- Config through env vars or config.py
- .venv ready with all dependencies
18 lines
482 B
Python
18 lines
482 B
Python
"""Configuration for the Vector Memory Server."""
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import os
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class Config:
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DATA_DIR = os.environ.get(
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"MEMORY_SERVER_DATA",
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"/home/admin/agent-dir/vector_memory"
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)
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EMBEDDING_MODEL = os.environ.get(
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"MEMORY_SERVER_MODEL",
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"all-MiniLM-L6-v2"
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)
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DEFAULT_TOP_N = int(os.environ.get("MEMORY_SERVER_TOP_N", "5"))
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HOST = os.environ.get("MEMORY_SERVER_HOST", "127.0.0.1")
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PORT = int(os.environ.get("MEMORY_SERVER_PORT", "8000"))
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