docs: add subtle GitHub star nudges at OSS win-moments (#5928)
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@@ -123,3 +123,5 @@ As the conversation progresses, Mem0's memory automatically updates based on the
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Build a travel companion that remembers preferences and past conversations.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -81,3 +81,5 @@ This local setup of Mem0 using Ollama provides a fully self-contained solution f
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Learn core companion patterns that work with any LLM provider.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -137,3 +137,5 @@ As users interact with the system, Mem0's memory system continuously learns and
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Run the full showcase app to see memory-powered companions in action.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -78,3 +78,5 @@ This setup demonstrates how to build an AI Companion that maintains memory acros
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Implement a command-line companion using the Node.js SDK.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -211,3 +211,5 @@ This Personalized AI Travel Assistant leverages Mem0's memory capabilities to pr
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Build an educational companion that remembers learning progress and preferences.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -544,3 +544,5 @@ async def save_memories(
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Master the core patterns for building memory-powered companions.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -66,3 +66,5 @@ Your API keys are stored locally in your browser. Your messages are sent to the
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Combine memory with search tools to conduct comprehensive research projects.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -973,3 +973,5 @@ Before launching:
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Organize customer context to keep assistants responsive at scale.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -512,3 +512,5 @@ Start with conservative filters (only store confirmed facts) and iterate based o
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<Card title="Build a Mem0 Companion" icon="users" href="/cookbooks/essentials/building-ai-companion">
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Learn core memory patterns including temporary vs permanent data handling.
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</Card>
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<Snippet file="star-on-github.mdx" />
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@@ -334,3 +334,5 @@ You learned how to:
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href="/cookbooks/essentials/controlling-memory-ingestion"
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/>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -288,3 +288,5 @@ Use **`get_all()`** for bulk retrieval, **`search()`** for specific questions, a
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Ensure only verified insights make it into your export pipeline.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -249,3 +249,5 @@ Instead of searching through everything, agents jump directly to the information
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Use categories to drive audits, migrations, and compliance reports.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -83,3 +83,5 @@ This is a simple example of how to use Mem0 to create a personalized AI agent. Y
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Build another type of personalized companion with memory capabilities.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -245,4 +245,6 @@ You've successfully built a Gemini 3 agent with persistent memory using Mem0's M
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icon="rocket"
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href="/platform/mem0-mcp"
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/>
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</CardGroup>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -369,3 +369,5 @@ Based on our previous session, I remember we covered Vision Language Models and
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Learn how to scope memories across multiple agents, users, and sessions.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -197,3 +197,5 @@ I've ordered a pizza for you, and the bill has been sent to your email. Enjoy yo
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Master the core patterns for memory-powered agents across frameworks.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -41,3 +41,5 @@ Visit [multimodal-demo.mem0.ai](https://multimodal-demo.mem0.ai) to experience M
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Build voice-first companions that remember conversations.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -236,3 +236,5 @@ context = Mem0Context(user_id="user123")
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Learn the core patterns for memory-powered agents with any SDK.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -129,3 +129,5 @@ With Mem0 and AWS services like Bedrock and OpenSearch, you can build intelligen
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Understand how Mem0's memory system is benchmarked and evaluated.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -299,3 +299,5 @@ By storing and retrieving patient information intelligently, the assistant provi
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Apply similar memory patterns to customer support workflows.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -136,3 +136,5 @@ In the example above:
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Explore tool-calling patterns with the OpenAI Agents SDK.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -295,3 +295,5 @@ run().catch(console.error);
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Fine-tune what memories get stored during tool calls.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -202,3 +202,5 @@ Full Code: [Personalized Search GitHub](https://github.com/mem0ai/mem0/blob/main
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Categorize search results and user preferences for better personalization.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -364,3 +364,5 @@ Mem0 enables a seamless, intelligent content-writing workflow, perfect for conte
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Automate email drafting with memory-powered context and tone matching.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -77,3 +77,5 @@ Watch Deep Research in action:
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Build a video research assistant that remembers insights from content.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -432,3 +432,5 @@ By combining Mem0's memory capabilities with email processing, you can create in
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Build customer support agents that remember context across tickets.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -121,3 +121,5 @@ As the conversation progresses, Mem0's memory automatically updates based on the
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Extend support capabilities with intelligent email processing and routing.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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@@ -134,3 +134,5 @@ Mem0 enables fast, transparent collaboration for teams and agents, with full att
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Apply collaborative memory patterns to customer support scenarios.
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</Card>
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</CardGroup>
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<Snippet file="star-on-github.mdx" />
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