d395e40baf
Adds support for running embeddings locally using node-llama-cpp, eliminating
the need for OpenAI API keys when using the memory-lancedb plugin.
Changes:
- Add embedding.provider config: 'openai' | 'local' (default: 'openai')
- Make embedding.apiKey optional when using local provider
- Add embedding.local.modelPath for custom GGUF model paths
- Add embedding.local.modelCacheDir for model caching
- Default local model: embeddinggemma-300M-Q8_0.gguf (768-dim vectors)
- Add node-llama-cpp as optional peer dependency
- Port local embedding logic from core memorySearch implementation
- Maintain backwards compatibility (existing configs work unchanged)
Usage:
embedding:
provider: local
# Optional custom model:
local:
modelPath: hf:ggml-org/embeddinggemma-300M-GGUF/embeddinggemma-300M-Q8_0.gguf
25 lines
552 B
JSON
25 lines
552 B
JSON
{
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"name": "@openclaw/memory-lancedb",
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"version": "2026.1.29",
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"type": "module",
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"description": "OpenClaw LanceDB-backed long-term memory plugin with auto-recall/capture. Supports OpenAI and local embeddings.",
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"dependencies": {
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"@lancedb/lancedb": "^0.23.0",
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"@sinclair/typebox": "0.34.47",
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"openai": "^6.16.0"
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},
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"peerDependencies": {
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"node-llama-cpp": ">=3.0.0"
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},
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"peerDependenciesMeta": {
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"node-llama-cpp": {
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"optional": true
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}
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},
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"openclaw": {
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"extensions": [
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"./index.ts"
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]
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}
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}
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