fix: update skills and docs (#4868)
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<Note type="info">
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<strong>🎉 Mem0 1.0.0 is here!</strong> Enhanced filtering, reranking, and smarter memory management.
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</Note>
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Mem0 Open Source delivers the same adaptive memory engine as the platform, but packaged for teams that need to run everything on their own infrastructure. You own the stack, the data, and the customizations.
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<Tip>
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Mem0 v1.0.0 brought rerankers, async-by-default clients, and Azure OpenAI support. See the <Link href="/changelog">release notes</Link> for the full rundown before upgrading.
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</Tip>
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## What Mem0 OSS provides
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- **Full control**: Tune every component, from LLMs to vector stores, inside your environment.
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description: 'Enable multi-participant conversations with automatic memory attribution to individual speakers'
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---
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<Snippet file="paper-release.mdx" />
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## Overview
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The Group Chat feature enables Mem0 to process conversations involving multiple participants and automatically attribute memories to individual speakers. This allows for precise tracking of each participant's preferences, characteristics, and contributions in collaborative discussions, team meetings, or multi-agent conversations.
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* **Time-based queries**: Retrieve memories within specific date ranges
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* **Performance optimization**: Reduce query complexity by pre-filtering
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<Callout type="info" icon="info-circle" color="#7A5DFF">
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Filters were introduced in v1.0.0 to provide precise control over memory retrieval.
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</Callout>
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## Filter structure
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Filters use a nested JSON structure with logical operators at the root:
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Mem0 is the memory engine that keeps conversations contextual so users never repeat themselves and your agents respond with continuity. Mem0 Platform delivers that experience as a fully managed service—scaling, securing, and enriching memories without any infrastructure work on your side.
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<Tip>
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Mem0 v1.0.0 shipped rerankers, async-by-default behavior, and Azure OpenAI support. Catch the full list of changes in the <Link href="/changelog">release notes</Link>.
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</Tip>
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## Why it matters
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- **Personalized replies**: Memories persist across users and agents, cutting prompt bloat and repeat questions.
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