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[docs] OSS Features , Overview , Brushup (#3676)

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Parth Sharma
2025-10-27 12:31:40 -07:00
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commit ee8955d08b
37 changed files with 1856 additions and 1696 deletions
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docs/integrations/agentops.mdx
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@@ -163,10 +163,12 @@ Organize your monitoring with structured sessions:
4. **Tagging**: Use tags to organize different types of memory operations
5. **Environment Separation**: Use different projects or tags for dev/staging/prod
## Help
<CardGroup cols={2}>
<Card title="CrewAI Integration" icon="users" href="/integrations/crewai">
Monitor multi-agent CrewAI systems
</Card>
<Card title="LangChain Integration" icon="link" href="/integrations/langchain">
Track LangChain agent performance
</Card>
</CardGroup>
- [AgentOps Documentation](https://docs.agentops.ai/)
- [AgentOps Dashboard](https://app.agentops.ai/)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/agno.mdx
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@@ -195,9 +195,12 @@ Customize the integration to your needs:
- **Memory Search**: Configure search relevance and result count
- **Memory Formatting**: Support for various OpenAI message formats
## Help
<CardGroup cols={2}>
<Card title="OpenAI Agents SDK" icon="cube" href="/integrations/openai-agents-sdk">
Build agents with OpenAI SDK and Mem0
</Card>
<Card title="Mastra Integration" icon="star" href="/integrations/mastra">
Create intelligent agents with Mastra framework
</Card>
</CardGroup>
- [Agno Documentation](https://docs.agno.com/introduction)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/autogen.mdx
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@@ -130,6 +130,12 @@ By integrating AutoGen with Mem0, you've created a conversational AI system with
This integration enables the creation of more intelligent and personalized AI agents for various applications, such as customer support, virtual assistants, and interactive chatbots.
## Help
<CardGroup cols={2}>
<Card title="CrewAI Integration" icon="users" href="/integrations/crewai">
Build multi-agent systems with CrewAI and Mem0
</Card>
<Card title="LangGraph Integration" icon="diagram-project" href="/integrations/langgraph">
Create stateful workflows with LangGraph
</Card>
</CardGroup>
<Snippet file="get-help.mdx" />
docs/integrations/aws-bedrock.mdx
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@@ -120,11 +120,12 @@ all_memories = m.get_all(user_id="alice")
4. **User-specific Memory Spaces**: Memories are isolated per user ID
5. **Persistent Memory Context**: Maintain and recall history across sessions
## Help
- [AWS Bedrock Documentation](https://docs.aws.amazon.com/bedrock/)
- [Amazon OpenSearch Service Docs](https://docs.aws.amazon.com/opensearch-service/)
- [Mem0 Platform](https://app.mem0.ai)
<Snippet file="get-help.mdx" />
<CardGroup cols={2}>
<Card title="AWS Bedrock Cookbook" icon="aws" href="/cookbooks/integrations/aws-bedrock">
Complete guide to using Bedrock with Mem0
</Card>
<Card title="Neptune Analytics Cookbook" icon="database" href="/cookbooks/integrations/neptune-analytics">
Build graph memory with AWS Neptune
</Card>
</CardGroup>
docs/integrations/crewai.mdx
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@@ -160,9 +160,12 @@ if __name__ == "__main__":
By combining CrewAI with Mem0, you can create sophisticated AI systems that maintain context and provide personalized experiences while leveraging the power of autonomous agents.
## Help
<CardGroup cols={2}>
<Card title="AutoGen Integration" icon="users" href="/integrations/autogen">
Build multi-agent systems with AutoGen and Mem0
</Card>
<Card title="LangGraph Integration" icon="diagram-project" href="/integrations/langgraph">
Create stateful agent workflows with memory
</Card>
</CardGroup>
- [CrewAI Documentation](https://docs.crewai.com/)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/dify.mdx
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@@ -31,4 +31,11 @@ Mem0 brings a robust memory layer to Dify AI, empowering your AI agents with per
Enhance your Dify-powered AI with Mem0 and transform your conversational experiences. Start integrating intelligent memory management today and give your agents the context they need to excel!
[Explore Mem0 on Dify Marketplace](https://marketplace.dify.ai/plugins/yevanchen/mem0)
<CardGroup cols={2}>
<Card title="Flowise Integration" icon="share-nodes" href="/integrations/flowise">
Build visual AI workflows with Flowise
</Card>
<Card title="LangChain Integration" icon="link" href="/integrations/langchain">
Create LangChain-powered applications
</Card>
</CardGroup>
docs/integrations/elevenlabs.mdx
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@@ -436,9 +436,12 @@ By integrating ElevenLabs Conversational AI with Mem0, you can create voice agen
- Reduced need for users to repeat information
- Long-term relationship building between users and AI agents
## Help
<CardGroup cols={2}>
<Card title="LiveKit Integration" icon="video" href="/integrations/livekit">
Build real-time voice and video agents
</Card>
<Card title="Pipecat Integration" icon="waveform" href="/integrations/pipecat">
Create voice-first AI applications
</Card>
</CardGroup>
- [ElevenLabs Conversational AI Documentation](https://elevenlabs.io/docs/api-reference/conversational-ai)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/flowise.mdx
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@@ -115,11 +115,12 @@ Additional settings available in [Mem0 Project Settings](https://app.mem0.ai/das
2. **Memory Organization**: Utilize projects and organizations for better memory management
3. **Regular Maintenance**: Monitor and clean up unused memories periodically
## Help
<CardGroup cols={2}>
<Card title="LangChain Integration" icon="link" href="/integrations/langchain">
Build LangChain-powered flows with memory
</Card>
<Card title="Dify Integration" icon="blocks" href="/integrations/dify">
Create AI workflows with Dify platform
</Card>
</CardGroup>
- [Flowise Documentation](https://flowiseai.com/docs)
- [Flowise GitHub Repository](https://github.com/FlowiseAI/Flowise)
- [Flowise Website](https://flowiseai.com/)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/google-ai-adk.mdx
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@@ -285,9 +285,12 @@ os.environ["GOOGLE_CLOUD_PROJECT"] = "your-project-id"
os.environ["GOOGLE_CLOUD_LOCATION"] = "us-central1"
```
## Help
<CardGroup cols={2}>
<Card title="Healthcare Agent Cookbook" icon="heart-pulse" href="/cookbooks/integrations/healthcare-google-adk">
Build HIPAA-compliant healthcare agents with Google ADK
</Card>
<Card title="OpenAI Agents SDK" icon="cube" href="/integrations/openai-agents-sdk">
Compare with OpenAI's agent framework
</Card>
</CardGroup>
- [Google ADK Documentation](https://google.github.io/adk-docs/)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/keywords.mdx
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@@ -131,9 +131,12 @@ For detailed information on this integration, refer to the official [Keywords AI
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.
## Help
<CardGroup cols={2}>
<Card title="OpenAI Agents SDK" icon="cube" href="/integrations/openai-agents-sdk">
Build monitored agents with OpenAI SDK
</Card>
<Card title="AgentOps Integration" icon="chart-line" href="/integrations/agentops">
Monitor agent performance with AgentOps
</Card>
</CardGroup>
- [Keywords AI Documentation](https://docs.keywordsai.co)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/langchain-tools.mdx
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@@ -320,6 +320,12 @@ All tools are implemented as Langchain `StructuredTool` instances, making them c
Each tool provides structured input validation through Pydantic models and returns consistent responses that can be processed by your agent.
## Help
<CardGroup cols={2}>
<Card title="LangChain Integration" icon="link" href="/integrations/langchain">
Build conversational agents with LangChain and Mem0
</Card>
<Card title="LangGraph Integration" icon="diagram-project" href="/integrations/langgraph">
Create stateful workflows with LangGraph
</Card>
</CardGroup>
<Snippet file="get-help.mdx" />
docs/integrations/langchain.mdx
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@@ -161,10 +161,13 @@ if __name__ == "__main__":
By integrating LangChain with Mem0, you can build a personalized Travel Agent AI that can maintain context across interactions and provide tailored travel recommendations and assistance.
## Help
<CardGroup cols={2}>
<Card title="LangGraph Integration" icon="diagram-project" href="/integrations/langgraph">
Build stateful agents with LangGraph and Mem0
</Card>
<Card title="LangChain Tools" icon="wrench" href="/integrations/langchain-tools">
Use Mem0 as LangChain tools for agent workflows
</Card>
</CardGroup>
- [LangChain Documentation](https://python.langchain.com/)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/langgraph.mdx
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@@ -163,9 +163,12 @@ if __name__ == "__main__":
By integrating LangGraph with Mem0, you can build a personalized Customer Support AI Agent that can maintain context across interactions and provide personalized assistance.
## Help
<CardGroup cols={2}>
<Card title="LangChain Integration" icon="link" href="/integrations/langchain">
Build conversational agents with LangChain and Mem0
</Card>
<Card title="CrewAI Integration" icon="users" href="/integrations/crewai">
Create multi-agent systems with CrewAI
</Card>
</CardGroup>
- [LangGraph Documentation](https://python.langchain.com/docs/langgraph)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/livekit.mdx
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@@ -228,10 +228,12 @@ logger = logging.getLogger("memory_voice_agent")
- Check the logs for any issues with API keys, connectivity, or memory operations.
- Ensure your `.env` file is correctly configured and loaded.
<CardGroup cols={2}>
<Card title="ElevenLabs Integration" icon="volume" href="/integrations/elevenlabs">
Build conversational voice agents with ElevenLabs
</Card>
<Card title="Pipecat Integration" icon="waveform" href="/integrations/pipecat">
Create real-time voice applications with Pipecat
</Card>
</CardGroup>
## Help
- [LiveKit Documentation](https://docs.livekit.io/)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/llama-index.mdx
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@@ -204,13 +204,12 @@ print(response)
By integrating LlamaIndex with Mem0, you can build a personalized agent that can maintain context across interactions with the agent and provide tailored recommendations and assistance.
## Help
- [LlamaIndex Documentation](https://llamahub.ai/l/memory/llama-index-memory-mem0)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
<CardGroup cols={2}>
<Card title="LlamaIndex Multiagent Cookbook" icon="brain" href="/cookbooks/frameworks/llamaindex-multiagent">
Build multi-agent systems with LlamaIndex and Mem0
</Card>
<Card title="LlamaIndex ReAct Cookbook" icon="bolt" href="/cookbooks/frameworks/llamaindex-react">
Create ReAct agents with LlamaIndex
</Card>
</CardGroup>
docs/integrations/mastra.mdx
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@@ -125,9 +125,12 @@ const mem0Agent = new Agent({
By integrating Mastra with Mem0, you can build intelligent agents that learn and remember information across conversations. The tool-based approach provides transparency and control over memory operations, making it easy to create personalized and context-aware AI experiences.
## Help
<CardGroup cols={2}>
<Card title="Mastra Agent Cookbook" icon="star" href="/cookbooks/integrations/mastra-agent">
Build a complete Mastra agent with persistent memory
</Card>
<Card title="Vercel AI SDK Integration" icon="triangle" href="/integrations/vercel-ai-sdk">
Create web applications with Vercel AI SDK
</Card>
</CardGroup>
- [Mastra Documentation](https://docs.mastra.ai/)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/openai-agents-sdk.mdx
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@@ -225,9 +225,12 @@ mem0.add(
)
```
## Help
<CardGroup cols={2}>
<Card title="OpenAI Tool Calls Cookbook" icon="wrench" href="/cookbooks/integrations/openai-tool-calls">
Learn how to integrate Mem0 with OpenAI function calling
</Card>
<Card title="Agents SDK Tool Cookbook" icon="cube" href="/cookbooks/integrations/agents-sdk-tool">
Build agents with OpenAI SDK tools
</Card>
</CardGroup>
- [OpenAI Agents SDK Documentation](https://openai.github.io/openai-agents-python/)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />
docs/integrations/pipecat.mdx
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@@ -211,8 +211,12 @@ memory = Mem0MemoryService(
)
```
## Resources
- [Mem0 Pipecat Integration](https://docs.pipecat.ai/server/services/memory/mem0)
- [Pipecat Documentation](https://docs.pipecat.ai)
<CardGroup cols={2}>
<Card title="LiveKit Integration" icon="video" href="/integrations/livekit">
Build real-time voice and video agents
</Card>
<Card title="ElevenLabs Integration" icon="volume" href="/integrations/elevenlabs">
Create conversational voice agents
</Card>
</CardGroup>
docs/integrations/raycast.mdx
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@@ -40,6 +40,11 @@ d. Enter this key in the extension preferences
**No More Repetition**: Stop explaining the same things repeatedly. Your AI remembers your context and preferences.
---
<Snippet file="get-help.mdx" />
<CardGroup cols={2}>
<Card title="OpenAI Agents SDK" icon="cube" href="/integrations/openai-agents-sdk">
Build desktop AI agents with OpenAI SDK
</Card>
<Card title="Mastra Integration" icon="star" href="/integrations/mastra">
Create intelligent desktop workflows
</Card>
</CardGroup>
docs/integrations/vercel-ai-sdk.mdx
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@@ -314,11 +314,14 @@ The `getMemories` function will return an object with two keys: `results` and `r
## Conclusion
Mem0’s Vercel AI SDK enables the creation of intelligent, context-aware applications with persistent memory and seamless integration.
Mem0's Vercel AI SDK enables the creation of intelligent, context-aware applications with persistent memory and seamless integration.
## Help
<CardGroup cols={2}>
<Card title="OpenAI Agents SDK" icon="cube" href="/integrations/openai-agents-sdk">
Build agents with OpenAI SDK and Mem0
</Card>
<Card title="Mastra Integration" icon="star" href="/integrations/mastra">
Create intelligent agents with Mastra framework
</Card>
</CardGroup>
- [Vercel AI SDK Documentation](https://sdk.vercel.ai/docs/introduction)
- [Mem0 Platform](https://app.mem0.ai/)
<Snippet file="get-help.mdx" />