---
title: "OpenRouter Provider"
description: "Access 100+ AI models through OpenRouter's unified API, including free models for cost-effective observation extraction"
---

# OpenRouter Provider

Claude-mem supports [OpenRouter](https://openrouter.ai) as an alternative provider for observation extraction. OpenRouter provides a unified API to access 100+ models from different providers including Google, Meta, Mistral, DeepSeek, and many others—often with generous free tiers.

<Tip>
**Free Models Available**: OpenRouter offers several completely free models, making it an excellent choice for reducing observation extraction costs to zero while maintaining quality.
</Tip>

## Why Use OpenRouter?

- **Access to 100+ models**: Choose from models across multiple providers through one API
- **Free tier options**: Several high-quality models are completely free to use
- **Cost flexibility**: Pay-as-you-go pricing on premium models with no commitments
- **Errors throw clearly**: 429s, 5xx, and network failures throw — leaving messages pending so they can be retried
- **Hot-swappable**: Switch providers without restarting the worker
- **Multi-turn conversations**: Full conversation history maintained across API calls

## Free Models on OpenRouter

OpenRouter actively supports democratizing AI access by offering free models. These are production-ready models suitable for observation extraction.

### Featured Free Models

| Model | ID | Parameters | Context | Best For |
|-------|------|------------|---------|----------|
| **Xiaomi MiMo-V2-Flash** | `xiaomi/mimo-v2-flash:free` | 309B (15B active, MoE) | 256K | Reasoning, coding, agents |
| **Gemini 2.0 Flash** | `google/gemini-2.0-flash-exp:free` | — | 1M | General purpose |
| **Gemini 2.5 Flash** | `google/gemini-2.5-flash-preview:free` | — | 1M | Latest capabilities |
| **DeepSeek R1** | `deepseek/deepseek-r1:free` | 671B | 64K | Reasoning, analysis |
| **Llama 3.1 70B** | `meta-llama/llama-3.1-70b-instruct:free` | 70B | 128K | General purpose |
| **Llama 3.1 8B** | `meta-llama/llama-3.1-8b-instruct:free` | 8B | 128K | Fast, lightweight |
| **Mistral Nemo** | `mistralai/mistral-nemo:free` | 12B | 128K | Efficient performance |

<Note>
**Default Model**: Claude-mem uses `xiaomi/mimo-v2-flash:free` by default—a 309B parameter mixture-of-experts model that ranks #1 on SWE-bench Verified and excels at coding and reasoning tasks.
</Note>

### Free Model Considerations

- **Rate limits**: Free models may have stricter rate limits than paid models
- **Availability**: Free capacity depends on provider partnerships and demand
- **Queue times**: During peak usage, requests may be queued briefly
- **Max tokens**: Most free models support 65,536 completion tokens

All free models support:
- Tool use and function calling
- Temperature and sampling controls
- Stop sequences
- Streaming responses

## Getting an API Key

1. Go to [OpenRouter](https://openrouter.ai)
2. Sign in with Google, GitHub, or email
3. Navigate to [API Keys](https://openrouter.ai/keys)
4. Click **Create Key**
5. Copy and securely store your API key

<Tip>
**Free to start**: No credit card required to create an account or use free models. Add credits only if you want to use premium models.
</Tip>

## Configuration

### Settings

| Setting | Values | Default | Description |
|---------|--------|---------|-------------|
| `CLAUDE_MEM_PROVIDER` | `claude`, `gemini`, `openrouter` | `claude` | AI provider for observation extraction |
| `CLAUDE_MEM_OPENROUTER_API_KEY` | string | — | Your OpenRouter API key |
| `CLAUDE_MEM_OPENROUTER_MODEL` | string | `xiaomi/mimo-v2-flash:free` | Model identifier (see list above) |
| `CLAUDE_MEM_OPENROUTER_SITE_URL` | string | — | Optional: URL for analytics attribution |
| `CLAUDE_MEM_OPENROUTER_APP_NAME` | string | `claude-mem` | Optional: App name for analytics |

### Using the Settings UI

1. Open the worker URL printed on startup
2. Click the **gear icon** to open Settings
3. Under **AI Provider**, select **OpenRouter**
4. Enter your OpenRouter API key
5. Optionally select a different model

Settings are applied immediately—no restart required.

### Manual Configuration

Edit `~/.claude-mem/settings.json`:

```json
{
  "CLAUDE_MEM_PROVIDER": "openrouter",
  "CLAUDE_MEM_OPENROUTER_API_KEY": "sk-or-v1-your-key-here",
  "CLAUDE_MEM_OPENROUTER_MODEL": "xiaomi/mimo-v2-flash:free"
}
```

Alternatively, set the API key via environment variable:

```bash
export OPENROUTER_API_KEY="sk-or-v1-your-key-here"
```

The settings file takes precedence over the environment variable.

## Model Selection Guide

### For Free Usage (No Cost)

**Recommended**: `xiaomi/mimo-v2-flash:free`
- Best-in-class performance on coding benchmarks
- 256K context window handles large observations
- 65K max completion tokens
- Mixture-of-experts architecture (15B active parameters)

**Alternatives**:
- `google/gemini-2.0-flash-exp:free` - 1M context, Google's flagship
- `deepseek/deepseek-r1:free` - Excellent reasoning capabilities
- `meta-llama/llama-3.1-70b-instruct:free` - Strong general purpose

### For Paid Usage (Higher Quality/Speed)

| Model | Price (per 1M tokens) | Best For |
|-------|----------------------|----------|
| `anthropic/claude-3.5-sonnet` | $3 in / $15 out | Highest quality observations |
| `google/gemini-2.0-flash` | $0.075 in / $0.30 out | Fast, cost-effective |
| `openai/gpt-4o` | $2.50 in / $10 out | GPT-4 quality |

## Context Window Management

The full conversation history is sent to the model on each request. claude-mem does
**not** apply any client-side truncation or message-count cap — the provider and model
own their own context window. If you need to bound context for a specific model, choose a
model with an appropriate context length or manage limits at the OpenRouter/provider level.

### Cost Tracking

Logs include detailed usage information:

```
OpenRouter API usage: {
  model: "xiaomi/mimo-v2-flash:free",
  inputTokens: 2500,
  outputTokens: 1200,
  totalTokens: 3700,
  estimatedCostUSD: "0.00",
  messagesInContext: 8
}
```

## Provider Switching

You can switch between providers at any time:

- **No restart required**: Changes take effect on the next observation
- **Conversation history preserved**: When switching mid-session, the new provider sees the full conversation context
- **Seamless transition**: All providers use the same observation format

### Switching via UI

1. Open Settings in the viewer
2. Change the **AI Provider** dropdown
3. The next observation will use the new provider

### Switching via Settings File

```json
{
  "CLAUDE_MEM_PROVIDER": "openrouter"
}
```

## Error Behavior

If OpenRouter errors, claude-mem logs the failure and re-throws so the message stays pending for later retry. There is no Claude SDK fallback — earlier docs claimed automatic Claude fallback, but the wiring was never actually engaged in production (#2087). To switch providers, change `CLAUDE_MEM_PROVIDER` in settings.

**Throwing conditions:**
- Rate limiting (HTTP 429)
- Server errors (HTTP 500, 502, 503)
- Network issues (connection refused, timeout)
- 4xx errors other than 429
- Missing API key

## Multi-Turn Conversation Support

OpenRouter agent maintains full conversation history across API calls:

```
Session Created
  ↓
Load Pending Messages (observations from queue)
  ↓
For each message:
  → Add to conversation history
  → Call OpenRouter API with FULL history
  → Parse XML response
  → Store observations in database
  → Sync to Chroma vector DB
  ↓
Session complete
```

This enables:
- Coherent multi-turn exchanges
- Context preservation across observations
- Seamless provider switching mid-session

## Troubleshooting

### "OpenRouter API key not configured"

Either:
- Set `CLAUDE_MEM_OPENROUTER_API_KEY` in `~/.claude-mem/settings.json`, or
- Set the `OPENROUTER_API_KEY` environment variable

### Rate Limiting

Free models may have rate limits during peak usage. If you hit rate limits:
- The agent throws and leaves the message pending — it will be retried later
- Consider switching to a different free model
- Add credits for premium model access

### Model Not Found

Verify the model ID is correct:
- Check [OpenRouter Models](https://openrouter.ai/models) for current availability
- Use the `:free` suffix for free model variants
- Model IDs are case-sensitive

### High Token Usage

If a session accumulates a large conversation history, requests can grow. To keep
per-request cost down:
- Choose a model with pricing suited to your usage
- Consider a model with a larger context window if you hit provider-side limits

### Connection Errors

If you see connection errors:
- Check your internet connection
- Verify OpenRouter service status at [status.openrouter.ai](https://status.openrouter.ai)
- The agent throws and leaves the message pending for later retry

## API Details

OpenRouter uses an OpenAI-compatible REST API:

**Endpoint**: `https://openrouter.ai/api/v1/chat/completions`

**Headers**:
```
Authorization: Bearer {apiKey}
HTTP-Referer: https://github.com/thedotmack/claude-mem
X-Title: claude-mem
Content-Type: application/json
```

**Request Format**:
```json
{
  "model": "xiaomi/mimo-v2-flash:free",
  "messages": [
    {"role": "system", "content": "..."},
    {"role": "user", "content": "..."}
  ],
  "temperature": 0.3,
  "max_tokens": 4096
}
```

## Comparing Providers

| Feature | Claude (SDK) | Gemini | OpenRouter |
|---------|-------------|--------|------------|
| **Cost** | Pay per token | Free tier + paid | Free models + paid |
| **Models** | Claude only | Gemini only | 100+ models |
| **Quality** | Highest | High | Varies by model |
| **Rate limits** | Based on tier | 5-4000 RPM | Varies by model |
| **On error** | Throws | Throws | Throws |
| **Setup** | Automatic | API key required | API key required |

<Tip>
**Recommendation**: Start with OpenRouter's free `xiaomi/mimo-v2-flash:free` model for zero-cost observation extraction. If you need higher quality or encounter rate limits, switch to Claude or add OpenRouter credits for premium models.
</Tip>

## Next Steps

- [Configuration](/configuration) - Full settings reference
- [Gemini Provider](/usage/gemini-provider) - Alternative free provider
- [Getting Started](/usage/getting-started) - Basic usage guide
- [Troubleshooting](/troubleshooting) - Common issues
