docs: rebrand Keywords AI integration to Respan (#5098)
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Co-authored-by: Kartik <kartik.labhshetwar@mem0.ai>
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---
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title: Keywords AI
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description: "Combine Mem0 persistent memory with Keywords AI observability for tracked, cost-optimized AI applications."
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title: Respan
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description: "Combine Mem0 persistent memory with Respan observability for tracked, cost-optimized AI applications."
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---
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Build AI applications with persistent memory and comprehensive LLM observability by integrating Mem0 with Keywords AI.
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Build AI applications with persistent memory and comprehensive LLM observability by integrating Mem0 with Respan.
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## Overview
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Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users. Keywords AI provides complete LLM observability.
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Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users. Respan (formerly Keywords AI) provides complete LLM observability.
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Combining Mem0 with Keywords AI allows you to:
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Combining Mem0 with Respan allows you to:
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1. Add persistent memory to your AI applications
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2. Track interactions across sessions
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3. Monitor memory usage and retrieval with Keywords AI observability
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3. Monitor memory usage and retrieval with Respan observability
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4. Optimize token usage and reduce costs
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<Note>
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You can get your Mem0 API key from the <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=integration-keywords" rel="nofollow">Mem0 dashboard</a>.
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You can get your Mem0 API key from the <a href="https://app.mem0.ai/?utm_source=oss&utm_medium=integration-respan" rel="nofollow">Mem0 dashboard</a>.
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</Note>
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## Setup and Configuration
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@@ -24,7 +24,7 @@ You can get your Mem0 API key from the <a href="https://app.mem0.ai/?utm_source=
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Install the necessary libraries:
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```bash
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pip install mem0ai keywordsai-sdk
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pip install mem0ai openai
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```
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Set up your environment variables:
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@@ -34,13 +34,13 @@ import os
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# Set your API keys
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os.environ["MEM0_API_KEY"] = "your-mem0-api-key"
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os.environ["KEYWORDSAI_API_KEY"] = "your-keywords-api-key"
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os.environ["KEYWORDSAI_BASE_URL"] = "https://api.keywordsai.co/api/"
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os.environ["RESPAN_API_KEY"] = "your-respan-api-key"
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os.environ["RESPAN_BASE_URL"] = "https://api.respan.ai/api/"
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```
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## Basic Integration Example
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Here's a simple example of using Mem0 with Keywords AI:
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Here's a simple example of using Mem0 with Respan:
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```python
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from mem0 import Memory
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@@ -48,17 +48,17 @@ import os
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# Configuration
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api_key = os.getenv("MEM0_API_KEY")
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keywordsai_api_key = os.getenv("KEYWORDSAI_API_KEY")
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base_url = os.getenv("KEYWORDSAI_BASE_URL") # "https://api.keywordsai.co/api/"
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respan_api_key = os.getenv("RESPAN_API_KEY")
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base_url = os.getenv("RESPAN_BASE_URL") # "https://api.respan.ai/api/"
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# Set up Mem0 with Keywords AI as the LLM provider
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# Set up Mem0 with Respan as the LLM provider
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config = {
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"llm": {
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"provider": "openai",
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"config": {
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"model": "gpt-5-mini",
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"temperature": 0.0,
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"api_key": keywordsai_api_key,
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"api_key": respan_api_key,
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"openai_base_url": base_url,
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},
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}
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@@ -79,7 +79,7 @@ print(result)
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## Advanced Integration with OpenAI SDK
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For more advanced use cases, you can integrate Keywords AI with Mem0 through the OpenAI SDK:
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For more advanced use cases, you can integrate Respan with Mem0 through the OpenAI SDK:
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```python
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from openai import OpenAI
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@@ -88,8 +88,8 @@ import json
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# Initialize client
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client = OpenAI(
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api_key=os.environ.get("KEYWORDSAI_API_KEY"),
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base_url=os.environ.get("KEYWORDSAI_BASE_URL"),
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api_key=os.environ.get("RESPAN_API_KEY"),
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base_url=os.environ.get("RESPAN_BASE_URL"),
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)
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# Sample conversation messages
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@@ -118,18 +118,18 @@ response = client.chat.completions.create(
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print(json.dumps(response.model_dump(), indent=4))
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```
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For detailed information on this integration, refer to the official [Keywords AI Mem0 integration documentation](https://docs.keywordsai.co/integration/development-frameworks/mem0).
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For detailed information on this integration, refer to the official [Respan Mem0 integration documentation](https://www.respan.ai/docs/integrations/mem0).
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## Key Features
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1. **Memory Integration**: Store and retrieve relevant information from past interactions
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2. **LLM Observability**: Track memory usage and retrieval patterns with Keywords AI
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2. **LLM Observability**: Track memory usage and retrieval patterns with Respan
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3. **Session Persistence**: Maintain context across multiple user sessions
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4. **Cost Optimization**: Reduce token usage through efficient memory retrieval
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## Conclusion
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Integrating Mem0 with Keywords AI provides a powerful combination for building AI applications with persistent memory and comprehensive observability. This integration enables more personalized user experiences while providing insights into your application's memory usage.
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Integrating Mem0 with Respan provides a powerful combination for building AI applications with persistent memory and comprehensive observability. This integration enables more personalized user experiences while providing insights into your application's memory usage.
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<CardGroup cols={2}>
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<Card title="OpenAI Agents SDK" icon="cube" href="/integrations/openai-agents-sdk">
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@@ -139,4 +139,3 @@ Integrating Mem0 with Keywords AI provides a powerful combination for building A
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Monitor agent performance with AgentOps
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</Card>
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</CardGroup>
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