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momori777

Community

@momori777

11Followers
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8Public Repos
|
2Published Skills

momori777 builds an AI companion stack combining Live2D avatars, ComfyUI image generation, ASR/TTS voice, Qdrant long-term memory, and context compression.

πŸ™ GitHub β†—
Skills Distribution
DomainAI Models & ...Conversational AI .. (40%)Voice Synthesis & .. (20%)Vector Memory & Re.. (20%)Context Compressio.. (20%)

Agent Skills by momori777

Showing 2 vetted skills indexed across 1 GitHub repositories.

momori777momori777
358

mem0-bridge

Searches, reads, and writes long-term character memories in a Qdrant vector database.

Community
Advanced
momori777momori777
358

headroom

Compress large JSON arrays and tool outputs to reduce token usage.

Community
Intermediate

Frequently Asked Questions About momori777

FAQPage Schema
What tasks can I build using momori777's skills?β–Ό

You can assemble a full AI companion: Live2D avatar rendering, ComfyUI image generation, ASR speech input, TTS voice output, character importing, behavior engine logic, Qdrant-backed long-term memory via mem0-bridge, and headroom context compression for token savings.

Who are momori777's skills designed for?β–Ό

Developers and hobbyists building AI girlfriend or character-chat applications. The skills target engineers integrating avatars, voice pipelines, and persistent memory across messaging channels like WebChat, QQ, and Telegram.

How does the mem0-bridge memory system work?β–Ό

mem0-bridge connects the AI companion to a Qdrant vector database, letting the character search, read, and write long-term memories. It operates consistently across all supported channels including WebChat, QQ, and Telegram.

Are momori777's skills open source and free to use?β–Ό

The headroom skill is explicitly MIT licensed with a public GitHub homepage, making it free to use and modify. Other skills in the manifest do not specify licenses, so check each repository before redistribution.

What are the prerequisites for running these skills?β–Ό

mem0-bridge requires a running Qdrant vector database instance. headroom uses SmartCrusher and CCR for context compression. Voice features require ASR and TTS components, and avatar features require Live2D and ComfyUI environments.