Ollama
Ollama is a local LLM runtime that makes it easy to run open-source models on your machine. OpenClaw integrates with Ollama's native API (/api/chat), supports streaming and tool calling, and can auto-discover local Ollama models when you opt in with OLLAMA_API_KEY (or an auth profile) and do not define an explicit models.providers.ollama entry.
Remote Ollama users: Do not use the /v1 OpenAI-compatible URL (http://host:11434/v1) with OpenClaw. This breaks tool calling and models may output raw tool JSON as plain text. Use the native Ollama API URL instead: baseUrl: "http://host:11434" (no /v1).
Getting started
Choose your preferred setup method and mode.
Best for: fastest path to a working Ollama setup with automatic model discovery.
- Run onboarding
openclaw onboardSelect Ollama from the provider list.
- Choose your mode
- Cloud + Local — cloud-hosted models and local models together
- Local — local models only
If you choose Cloud + Local and are not signed in to ollama.com, onboarding opens a browser sign-in flow.
- Select a model
Onboarding discovers available models and suggests defaults. It auto-pulls the selected model if it is not available locally.
- Verify the model is available
openclaw models list --provider ollama
Non-interactive mode
openclaw onboard --non-interactive \
--auth-choice ollama \
--accept-risk
Optionally specify a custom base URL or model:
openclaw onboard --non-interactive \
--auth-choice ollama \
--custom-base-url "http://ollama-host:11434" \
--custom-model-id "qwen3.5:27b" \
--accept-risk
Best for: full control over installation, model pulls, and config.
- Install Ollama
Download from ollama.com/download.
- Pull a local model
ollama pull gemma4 # or ollama pull gpt-oss:20b # or ollama pull llama3.3 - Sign in for cloud models (optional)
If you want cloud models too:
ollama signin - Enable Ollama for OpenClaw
Set any value for the API key (Ollama does not require a real key):
# Set environment variable export OLLAMA_API_KEY="ollama-local" # Or configure in your config file openclaw config set models.providers.ollama.apiKey "ollama-local" - Inspect and set your model
openclaw models list openclaw models set ollama/gemma4Or set the default in config:
{ agents: { defaults: { model: { primary: "ollama/gemma4" }, }, }, }
Cloud models
Cloud models let you run cloud-hosted models alongside your local models. Examples include kimi-k2.5:cloud, minimax-m2.7:cloud, and glm-5.1:cloud -- these do not require a local ollama pull.
Select Cloud + Local mode during setup. The wizard checks whether you are signed in and opens a browser sign-in flow when needed. If authentication cannot be verified, the wizard falls back to local model defaults.
You can also sign in directly at ollama.com/signin.
OpenClaw currently suggests these cloud defaults: kimi-k2.5:cloud, minimax-m2.7:cloud, glm-5.1:cloud.
In local-only mode, OpenClaw discovers models from the local Ollama instance. No cloud sign-in is needed.
OpenClaw currently suggests gemma4 as the local default.
Model discovery (implicit provider)
When you set OLLAMA_API_KEY (or an auth profile) and do not define models.providers.ollama, OpenClaw discovers models from the local Ollama instance at http://127.0.0.1:11434.
| Behavior | Detail |
|---|---|
| Catalog query | Queries /api/tags |
| Capability detection | Uses best-effort /api/show lookups to read contextWindow and detect capabilities (including vision) |
| Vision models | Models with a vision capability reported by /api/show are marked as image-capable (input: ["text", "image"]), so OpenClaw auto-injects images into the prompt |
| Reasoning detection | Marks reasoning with a model-name heuristic (r1, reasoning, think) |
| Token limits | Sets maxTokens to the default Ollama max-token cap used by OpenClaw |
| Costs | Sets all costs to 0 |
This avoids manual model entries while keeping the catalog aligned with the local Ollama instance.
# See what models are available
ollama list
openclaw models list
To add a new model, simply pull it with Ollama:
ollama pull mistral
The new model will be automatically discovered and available to use.
If you set models.providers.ollama explicitly, auto-discovery is skipped and you must define models manually. See the explicit config section below.
Configuration
The simplest way to enable Ollama is via environment variable:
export OLLAMA_API_KEY="ollama-local"
If OLLAMA_API_KEY is set, you can omit apiKey in the provider entry and OpenClaw will fill it for availability checks.
Use explicit config when Ollama runs on another host/port, you want to force specific context windows or model lists, or you want fully manual model definitions.
{
models: {
providers: {
ollama: {
baseUrl: "http://ollama-host:11434",
apiKey: "ollama-local",
api: "ollama",
models: [
{
id: "gpt-oss:20b",
name: "GPT-OSS 20B",
reasoning: false,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 8192,
maxTokens: 8192 * 10
}
]
}
}
}
}
If Ollama is running on a different host or port (explicit config disables auto-discovery, so define models manually):
{
models: {
providers: {
ollama: {
apiKey: "ollama-local",
baseUrl: "http://ollama-host:11434", // No /v1 - use native Ollama API URL
api: "ollama", // Set explicitly to guarantee native tool-calling behavior
},
},
},
}
Do not add /v1 to the URL. The /v1 path uses OpenAI-compatible mode, where tool calling is not reliable. Use the base Ollama URL without a path suffix.
Model selection
Once configured, all your Ollama models are available:
{
agents: {
defaults: {
model: {
primary: "ollama/gpt-oss:20b",
fallbacks: ["ollama/llama3.3", "ollama/qwen2.5-coder:32b"],
},
},
},
}
Ollama Web Search
OpenClaw supports Ollama Web Search as a bundled web_search provider.
| Property | Detail |
|---|---|
| Host | Uses your configured Ollama host (models.providers.ollama.baseUrl when set, otherwise http://127.0.0.1:11434) |
| Auth | Key-free |
| Requirement | Ollama must be running and signed in with ollama signin |
Choose Ollama Web Search during openclaw onboard or openclaw configure --section web, or set:
{
tools: {
web: {
search: {
provider: "ollama",
},
},
},
}
For the full setup and behavior details, see Ollama Web Search.
Advanced configuration
Legacy OpenAI-compatible mode
Tool calling is not reliable in OpenAI-compatible mode. Use this mode only if you need OpenAI format for a proxy and do not depend on native tool calling behavior.
If you need to use the OpenAI-compatible endpoint instead (for example, behind a proxy that only supports OpenAI format), set api: "openai-completions" explicitly:
{
models: {
providers: {
ollama: {
baseUrl: "http://ollama-host:11434/v1",
api: "openai-completions",
injectNumCtxForOpenAICompat: true, // default: true
apiKey: "ollama-local",
models: [...]
}
}
}
}
This mode may not support streaming and tool calling simultaneously. You may need to disable streaming with params: { streaming: false } in model config.
When api: "openai-completions" is used with Ollama, OpenClaw injects options.num_ctx by default so Ollama does not silently fall back to a 4096 context window. If your proxy/upstream rejects unknown options fields, disable this behavior:
{
models: {
providers: {
ollama: {
baseUrl: "http://ollama-host:11434/v1",
api: "openai-completions",
injectNumCtxForOpenAICompat: false,
apiKey: "ollama-local",
models: [...]
}
}
}
}
Context windows
For auto-discovered models, OpenClaw uses the context window reported by Ollama when available, otherwise it falls back to the default Ollama context window used by OpenClaw.
You can override contextWindow and maxTokens in explicit provider config:
{
models: {
providers: {
ollama: {
models: [
{
id: "llama3.3",
contextWindow: 131072,
maxTokens: 65536,
}
]
}
}
}
}
Reasoning models
OpenClaw treats models with names such as deepseek-r1, reasoning, or think as reasoning-capable by default.
ollama pull deepseek-r1:32b
No additional configuration is needed -- OpenClaw marks them automatically.
Model costs
Ollama is free and runs locally, so all model costs are set to $0. This applies to both auto-discovered and manually defined models.
Memory embeddings
The bundled Ollama plugin registers a memory embedding provider for memory search. It uses the configured Ollama base URL and API key.
| Property | Value |
|---|---|
| Default model | nomic-embed-text |
| Auto-pull | Yes — the embedding model is pulled automatically if not present locally |
To select Ollama as the memory search embedding provider:
{
agents: {
defaults: {
memorySearch: { provider: "ollama" },
},
},
}
Streaming configuration
OpenClaw's Ollama integration uses the native Ollama API (/api/chat) by default, which fully supports streaming and tool calling simultaneously. No special configuration is needed.
If you need to use the OpenAI-compatible endpoint, see the "Legacy OpenAI-compatible mode" section above. Streaming and tool calling may not work simultaneously in that mode.
Troubleshooting
Ollama not detected
Make sure Ollama is running and that you set OLLAMA_API_KEY (or an auth profile), and that you did not define an explicit models.providers.ollama entry:
ollama serve
Verify that the API is accessible:
curl http://localhost:11434/api/tags
No models available
If your model is not listed, either pull the model locally or define it explicitly in models.providers.ollama.
ollama list # See what's installed
ollama pull gemma4
ollama pull gpt-oss:20b
ollama pull llama3.3 # Or another model
Connection refused
Check that Ollama is running on the correct port:
# Check if Ollama is running
ps aux | grep ollama
# Or restart Ollama
ollama serve
More help: Troubleshooting and FAQ.