docs: add subtle GitHub star nudges at OSS win-moments (#5928)

2026-07-01 23:13:51 +05:30
parent 207f65deda
commit fb2593e10d
64 changed files with 116 additions and 3 deletions
@@ -0,0 +1,5 @@
 {/* Subtle, value-anchored nudge to star the repo. Drop in at peak-end "win" moments in the OSS docs (after a successful add/search, a server bootstrap, etc.). Keep it off the Platform/API pages. */}
 {/* Clicks are tracked via PostHog autocapture: the data-ph-capture-attribute-cta below tags each click with cta="star-on-github" so it's filterable as an event property. Metric = count of $autocapture where cta = star-on-github; break down by Current URL to see which win-moment converts. */}
 <Callout icon="star" iconType="solid" color="#FACC15">
  **Using Mem0?** <a href="https://github.com/mem0ai/mem0" data-ph-capture-attribute-cta="star-on-github">Star us on GitHub</a> to help more developers discover memory for AI apps.
 </Callout>
@@ -123,3 +123,5 @@ As the conversation progresses, Mem0's memory automatically updates based on the
    Build a travel companion that remembers preferences and past conversations.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -81,3 +81,5 @@ This local setup of Mem0 using Ollama provides a fully self-contained solution f
    Learn core companion patterns that work with any LLM provider.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -137,3 +137,5 @@ As users interact with the system, Mem0's memory system continuously learns and
    Run the full showcase app to see memory-powered companions in action.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -78,3 +78,5 @@ This setup demonstrates how to build an AI Companion that maintains memory acros
    Implement a command-line companion using the Node.js SDK.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -211,3 +211,5 @@ This Personalized AI Travel Assistant leverages Mem0's memory capabilities to pr
    Build an educational companion that remembers learning progress and preferences.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -544,3 +544,5 @@ async def save_memories(
    Master the core patterns for building memory-powered companions.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -66,3 +66,5 @@ Your API keys are stored locally in your browser. Your messages are sent to the
    Combine memory with search tools to conduct comprehensive research projects.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -973,3 +973,5 @@ Before launching:
    Organize customer context to keep assistants responsive at scale.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -512,3 +512,5 @@ Start with conservative filters (only store confirmed facts) and iterate based o
 <Card title="Build a Mem0 Companion" icon="users" href="/cookbooks/essentials/building-ai-companion">
  Learn core memory patterns including temporary vs permanent data handling.
 </Card>
 <Snippet file="star-on-github.mdx" />
@@ -334,3 +334,5 @@ You learned how to:
    href="/cookbooks/essentials/controlling-memory-ingestion"
  />
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -288,3 +288,5 @@ Use **`get_all()`** for bulk retrieval, **`search()`** for specific questions, a
    Ensure only verified insights make it into your export pipeline.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -249,3 +249,5 @@ Instead of searching through everything, agents jump directly to the information
    Use categories to drive audits, migrations, and compliance reports.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -83,3 +83,5 @@ This is a simple example of how to use Mem0 to create a personalized AI agent. Y
    Build another type of personalized companion with memory capabilities.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -246,3 +246,5 @@ You've successfully built a Gemini 3 agent with persistent memory using Mem0's M
    href="/platform/mem0-mcp"
  />
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -369,3 +369,5 @@ Based on our previous session, I remember we covered Vision Language Models and
    Learn how to scope memories across multiple agents, users, and sessions.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -197,3 +197,5 @@ I've ordered a pizza for you, and the bill has been sent to your email. Enjoy yo
    Master the core patterns for memory-powered agents across frameworks.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -41,3 +41,5 @@ Visit [multimodal-demo.mem0.ai](https://multimodal-demo.mem0.ai) to experience M
    Build voice-first companions that remember conversations.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -236,3 +236,5 @@ context = Mem0Context(user_id="user123")
    Learn the core patterns for memory-powered agents with any SDK.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -129,3 +129,5 @@ With Mem0 and AWS services like Bedrock and OpenSearch, you can build intelligen
    Understand how Mem0's memory system is benchmarked and evaluated.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -299,3 +299,5 @@ By storing and retrieving patient information intelligently, the assistant provi
    Apply similar memory patterns to customer support workflows.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -136,3 +136,5 @@ In the example above:
    Explore tool-calling patterns with the OpenAI Agents SDK.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -295,3 +295,5 @@ run().catch(console.error);
    Fine-tune what memories get stored during tool calls.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -202,3 +202,5 @@ Full Code: [Personalized Search GitHub](https://github.com/mem0ai/mem0/blob/main
    Categorize search results and user preferences for better personalization.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -364,3 +364,5 @@ Mem0 enables a seamless, intelligent content-writing workflow, perfect for conte
    Automate email drafting with memory-powered context and tone matching.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -77,3 +77,5 @@ Watch Deep Research in action:
    Build a video research assistant that remembers insights from content.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -432,3 +432,5 @@ By combining Mem0's memory capabilities with email processing, you can create in
    Build customer support agents that remember context across tickets.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -121,3 +121,5 @@ As the conversation progresses, Mem0's memory automatically updates based on the
    Extend support capabilities with intelligent email processing and routing.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -134,3 +134,5 @@ Mem0 enables fast, transparent collaboration for teams and agents, with full att
    Apply collaborative memory patterns to customer support scenarios.
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -173,3 +173,4 @@ Organize your monitoring with structured sessions:
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -205,3 +205,4 @@ Customize the integration to your needs:
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -81,3 +81,5 @@ The plugin uses the same shell scripts as Claude Code, Cursor, and Codex: hooks
    Add Mem0 memory to OpenCode workflows
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -140,3 +140,4 @@ This integration enables the creation of more intelligent and personalized AI ag
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -127,3 +127,4 @@ all_memories = m.get_all(filters={"user_id": "alice"})
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -142,3 +142,5 @@ print(response.msgs[0].content)
    href="/integrations/langchain"
  />
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -241,3 +241,5 @@ By adding Mem0 as a memory store in ChatDev, your multi-agent workflows gain per
    Build conversational agents with AutoGen and Mem0
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -181,3 +181,5 @@ You: Add refresh token rotation to the auth system.
    Add Mem0 memory to OpenAI Codex workflows
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -162,3 +162,5 @@ You: Add WebSocket support for real-time notification delivery.
    Add Mem0 memory to Claude Code workflows
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -170,3 +170,4 @@ By combining CrewAI with Mem0, you can create sophisticated AI systems that main
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -122,3 +122,5 @@ You: The /orders endpoint is also slow, same pattern as before.
    Add Mem0 memory to Claude Code workflows
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -40,3 +40,5 @@ Enhance your Dify-powered AI with Mem0 and transform your conversational experie
    Create LangChain-powered applications
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -445,3 +445,5 @@ By integrating ElevenLabs Conversational AI with Mem0, you can create voice agen
    Create voice-first AI applications
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -125,3 +125,4 @@ Additional settings available in <a href="https://app.mem0.ai/dashboard/project-
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -347,3 +347,5 @@ By implementing `Mem0MemoryService` as an ADK `BaseMemoryService`, you get persi
    Compare with OpenAI's agent framework
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -231,3 +231,5 @@ curl http://localhost:11434/api/tags
    Get your API key and explore the Mem0 dashboard
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -317,3 +317,4 @@ Each tool provides structured input validation through Pydantic models and retur
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -171,4 +171,4 @@ By integrating LangChain with Mem0, you can build a personalized Travel Agent AI
  </Card>
 </CardGroup>
-
+<Snippet file="star-on-github.mdx" />
@@ -173,3 +173,4 @@ By integrating LangGraph with Mem0, you can build a personalized Customer Suppor
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -238,3 +238,4 @@ logger = logging.getLogger("memory_voice_agent")
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -213,3 +213,4 @@ By integrating LlamaIndex with Mem0, you can build a personalized agent that can
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -135,3 +135,4 @@ By integrating Mastra with Mem0, you can build intelligent agents that learn and
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -235,3 +235,4 @@ mem0.add(
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -498,3 +498,5 @@ The plugin injects memory-related instructions into the agent's system context v
    Create stateful agent workflows with memory
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -152,3 +152,5 @@ If auto-dream hasn't run yet, it's almost always because a gate hasn't been met
    Add Mem0 memory to Google Antigravity
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -182,3 +182,5 @@ You: What do you know about my preferences?
    Add Mem0 memory to OpenClaw agents
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -218,3 +218,5 @@ memory = Mem0MemoryService(
    Create conversational voice agents
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -48,3 +48,5 @@ d. Enter this key in the extension preferences
    Create intelligent desktop workflows
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -139,3 +139,5 @@ Integrating Mem0 with Respan provides a powerful combination for building AI app
    Monitor agent performance with AgentOps
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -346,3 +346,4 @@ Mem0's Vercel AI SDK enables the creation of intelligent, context-aware applicat
  </Card>
 </CardGroup>
 <Snippet file="star-on-github.mdx" />
@@ -43,7 +43,7 @@ mode: "custom"
    </a>
    <a
-      href="/integrations"
+      href="/integrations/claude-code"
      className="group flex h-full flex-col overflow-hidden rounded-2xl border border-gray-200 dark:border-zinc-800/40 bg-white dark:bg-zinc-900/40 transition hover:border-primary/60 hover:bg-gray-50 dark:hover:bg-zinc-900"
    >
      <img
@@ -66,6 +66,8 @@ console.log(results);
 </Step>
 </Steps>
 <Snippet file="star-on-github.mdx" />
 <Note>
 By default the Node SDK uses local-friendly settings (OpenAI `gpt-5-mini`, `text-embedding-3-small`, in-memory vector store, and SQLite history). Pass a config to swap any of them.
 </Note>
@@ -69,3 +69,5 @@ Override any component with [`Memory.from_config`](/open-source/configuration).
 | Bundled providers | `openai`, `anthropic`, `gemini` (switch on the Configuration page) |
 See [Self-Hosted Setup](/open-source/setup#supported-providers) for the full provider list and how to extend it.
 <Snippet file="star-on-github.mdx" />
@@ -76,6 +76,7 @@ print(results)
 </Step>
 </Steps>
 <Snippet file="star-on-github.mdx" />
 <Note>
 By default `Memory()` wires up:
@@ -120,6 +120,8 @@ On a fresh install the dashboard redirects to `/setup`. Each step submits on Ent
 For the underlying endpoints (including `/auth/*`, `/api-keys`, `/requests`, `/entities`), see the [REST API reference](/open-source/features/rest-api).
 <Snippet file="star-on-github.mdx" />
 ---
 ## Supported providers