Integrate Mem0 with AgentOps for automatic monitoring, analytics, and real-time tracking of memory operations.

Add persistent multimodal memory to Agno-based agents using Mem0 for text and image interactions.

Add persistent memory to Google Antigravity with the Mem0 plugin — MCP server, lifecycle hooks, and slash commands.

Build conversational AI agents with AutoGen and Mem0 for context-aware, personalized interactions.

Use Mem0 with AWS Bedrock and OpenSearch Service for cloud-native persistent semantic memory storage.

Plug Mem0 cloud memory into Camel's agents with the built‑in Mem0Storage.

Add persistent, cloud-managed memory to ChatDev multi-agent workflows with Mem0 — no code required, just YAML configuration.

Add persistent memory to Claude Code and Claude Cowork with the Mem0 plugin — MCP server, lifecycle hooks, and SDK skill.

Add persistent memory to OpenAI Codex with the Mem0 plugin — MCP server, lifecycle hooks, and SDK skill.

Combine CrewAI agent-based architecture with Mem0 for persistent memory across agent interactions.

Add persistent memory to Cursor with the Mem0 plugin — MCP server, lifecycle hooks, and SDK skill for context-aware coding.

Integrate Mem0 as a plugin in Dify AI workflows for persistent conversation storage and retrieval.

Create voice-based conversational AI agents with ElevenLabs and Mem0 for context-aware voice interactions.

Add persistent Mem0 memory to Flowise chatflows for context-aware conversations in the low-code builder.

Integrate Mem0 with Google Agent Development Kit for persistent memory across multi-agent workflows.

Add long-term memory to Hermes agents using Mem0 as a pluggable memory provider with automatic background sync and zero-latency prefetch.

Combine Mem0 persistent memory with Keywords AI observability for tracked, cost-optimized AI applications.

Build personalized AI agents using LangChain for conversation flow and Mem0 for long-term memory retention.

Integrate Mem0 with LangChain tools to enable AI agents to store, search, and manage memories through structured interfaces

Build customer support agents using LangGraph for conversation flow and Mem0 for personalized responses.

Build memory-enabled voice assistants with LiveKit, Deepgram, OpenAI, and Mem0 for context-aware conversations.

Use Mem0 as a memory store in LlamaIndex with support for ReAct and FunctionCalling agent types.

Use Mastra agents with Mem0 as the memory backend for cross-conversation storage and retrieval.

Integrate Mem0 with the OpenAI Agents SDK for persistent memory across multi-agent workflows.

Add long-term memory to OpenClaw agents using the Mem0 plugin with skills-based memory extraction and recall.

Add persistent memory to OpenCode with the Mem0 plugin — MCP server, lifecycle hooks, and slash commands.

Integrate Mem0 with Pipecat for conversational memory in AI agents

Mem0 Raycast extension for intelligent memory management

Use the Mem0 AI SDK Provider with Vercel AI SDK for persistent memory in conversational AI applications.