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| summary | read_when | title | sidebarTitle | |||
|---|---|---|---|---|---|---|
| Install the official llama.cpp provider for local GGUF memory embeddings |
|
llama.cpp Provider | llama.cpp Provider |
llama-cpp is the official external provider plugin for local GGUF
embeddings. It registers embedding provider id local and owns the
node-llama-cpp runtime dependency used by memorySearch.provider: "local".
Install it before using local memory embeddings:
openclaw plugins install @openclaw/llama-cpp-provider
The main openclaw npm package does not include node-llama-cpp. Keeping the
native dependency in this plugin prevents normal OpenClaw npm updates from
deleting a manually installed runtime inside the OpenClaw package directory.
Configuration
Set memorySearch.provider to local:
{
agents: {
defaults: {
memorySearch: {
provider: "local",
local: {
modelPath: "hf:ggml-org/embeddinggemma-300m-qat-q8_0-GGUF/embeddinggemma-300m-qat-Q8_0.gguf",
},
},
},
},
}
local.modelPath defaults to the hf: URI shown above (embeddinggemma-300m-qat-Q8_0.gguf).
Point it at a different hf: URI or a local .gguf file to use another
model. local.modelCacheDir overrides where downloaded models are cached
(default: ~/.node-llama-cpp/models), and local.contextSize accepts an
integer or "auto".
Native Runtime
Use Node 24 for the smoothest native install path. Source checkouts using pnpm may need to approve and rebuild the native dependency:
pnpm approve-builds
pnpm rebuild node-llama-cpp
Troubleshooting
If node-llama-cpp is missing or fails to load, OpenClaw reports the failure
with:
- Install the plugin:
openclaw plugins install @openclaw/llama-cpp-provider. - Use Node 24 for native installs/updates.
- From a pnpm source checkout:
pnpm approve-builds, thenpnpm rebuild node-llama-cpp.
For lower-friction local embeddings without the native build step, set
memorySearch.provider to a remote embedding provider such as lmstudio,
ollama, openai, or voyage instead.