feat(memory): add Ollama embedding provider (#26349)

Merged via /review-pr -> /prepare-pr -> /merge-pr.

Prepared head SHA: ac41386543
Co-authored-by: nico-hoff <43175972+nico-hoff@users.noreply.github.com>
Co-authored-by: gumadeiras <5599352+gumadeiras@users.noreply.github.com>
Reviewed-by: @gumadeiras

docs/concepts/memory.md

@@ -109,6 +109,8 @@ Defaults:
   6. Otherwise memory search stays disabled until configured.
 - Local mode uses node-llama-cpp and may require `pnpm approve-builds`.
 - Uses sqlite-vec (when available) to accelerate vector search inside SQLite.
+- `memorySearch.provider = "ollama"` is also supported for local/self-hosted
+  Ollama embeddings (`/api/embeddings`), but it is not auto-selected.
 
 Remote embeddings **require** an API key for the embedding provider. OpenClaw
 resolves keys from auth profiles, `models.providers.*.apiKey`, or environment
@@ -116,7 +118,9 @@ variables. Codex OAuth only covers chat/completions and does **not** satisfy
 embeddings for memory search. For Gemini, use `GEMINI_API_KEY` or
 `models.providers.google.apiKey`. For Voyage, use `VOYAGE_API_KEY` or
 `models.providers.voyage.apiKey`. For Mistral, use `MISTRAL_API_KEY` or
-`models.providers.mistral.apiKey`.
+`models.providers.mistral.apiKey`. Ollama typically does not require a real API
+key (a placeholder like `OLLAMA_API_KEY=ollama-local` is enough when needed by
+local policy).
 When using a custom OpenAI-compatible endpoint,
 set `memorySearch.remote.apiKey` (and optional `memorySearch.remote.headers`).
 
@@ -331,7 +335,7 @@ If you don't want to set an API key, use `memorySearch.provider = "local"` or se
 
 Fallbacks:
 
-- `memorySearch.fallback` can be `openai`, `gemini`, `voyage`, `mistral`, `local`, or `none`.
+- `memorySearch.fallback` can be `openai`, `gemini`, `voyage`, `mistral`, `ollama`, `local`, or `none`.
 - The fallback provider is only used when the primary embedding provider fails.
 
 Batch indexing (OpenAI + Gemini + Voyage):

docs/help/faq.md

@@ -1299,12 +1299,13 @@ It prefers OpenAI if an OpenAI key resolves, otherwise Gemini if a Gemini key
 resolves, then Voyage, then Mistral. If no remote key is available, memory
 search stays disabled until you configure it. If you have a local model path
 configured and present, OpenClaw
-prefers `local`.
+prefers `local`. Ollama is supported when you explicitly set
+`memorySearch.provider = "ollama"`.
 
 If you'd rather stay local, set `memorySearch.provider = "local"` (and optionally
 `memorySearch.fallback = "none"`). If you want Gemini embeddings, set
 `memorySearch.provider = "gemini"` and provide `GEMINI_API_KEY` (or
-`memorySearch.remote.apiKey`). We support **OpenAI, Gemini, Voyage, Mistral, or local** embedding
+`memorySearch.remote.apiKey`). We support **OpenAI, Gemini, Voyage, Mistral, Ollama, or local** embedding
 models - see [Memory](/concepts/memory) for the setup details.
 
 ### Does memory persist forever What are the limits

docs/reference/api-usage-costs.md

@@ -68,6 +68,7 @@ Semantic memory search uses **embedding APIs** when configured for remote provid
 - `memorySearch.provider = "gemini"` → Gemini embeddings
 - `memorySearch.provider = "voyage"` → Voyage embeddings
 - `memorySearch.provider = "mistral"` → Mistral embeddings
+- `memorySearch.provider = "ollama"` → Ollama embeddings (local/self-hosted; typically no hosted API billing)
 - Optional fallback to a remote provider if local embeddings fail
 
 You can keep it local with `memorySearch.provider = "local"` (no API usage).