openclaw-ollama-memory

Set up local semantic memory search in OpenClaw using Ollama + nomic-embed-text. Free, private, offline-capable. Replaces cloud embedding APIs (OpenAI, Gemini) with a locally-running model. Trigger phrases: ollama memory, local embeddings, private memory search, offline memory, free embeddings, nomic-embed-text.

作者: admin | 来源: ClawHub

# OpenClaw Ollama Memory Local semantic memory search for OpenClaw using Ollama — free, private, no API key required. ## Quick Start ### 1. Install & Run Ollama Download from https://ollama.ai, then pull the embedding model: ```bash ollama pull nomic-embed-text ``` Verify Ollama is running: ```bash curl http://127.0.0.1:11434/api/tags ``` ### 2. Configure OpenClaw Edit `~/.openclaw/openclaw.json` and add under `agents.defaults.memorySearch`: ```json { "agents": { "defaults": { "memorySearch": { "provider": "ollama", "model": "nomic-embed-text:latest", "remote": { "baseUrl": "http://127.0.0.1:11434" } } } } } ``` ### 3. Restart OpenClaw ```bash openclaw gateway restart ``` ## Key Points - **Ollama must be explicit** — use `provider: "ollama"`, not `"openai"`. OpenClaw doesn't auto-detect Ollama. - **No API key needed** — runs locally, fully offline. - **nomic-embed-text** — 274MB model, fast, accurate, free. - **baseUrl format** — `http://127.0.0.1:11434` (no `/v1` suffix, no trailing slash). ## Next Steps - See `references/config-reference.md` for advanced tuning (hybrid search, MMR, temporal decay, extra paths). - See `references/troubleshooting.md` for common errors and fixes.