fastmcp
49Skill Claude CodeCodex
Build, test, and deploy Python MCP servers.
Hermes Agent made portable desktop for Windows — 100 tools, GUI, local models via LM Studio, TTS, Music, ComfyUI, workflows, tool maker. No install. No Docker. No admin rights.
This repository also configures its own agents. See what portable-hermes-agent tells them →
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Build, test, and deploy Python MCP servers.
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Manual OAuth for remote MCP servers on headless gateways.
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List, auth, and call MCP servers/tools from the terminal.
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Run PyTorch training across GPUs with minimal changes.
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Embedding database for RAG and semantic search.
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Zero-shot image classification and image-text search.
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Fast vector similarity search at billion scale.
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Speed up long-sequence transformer training and inference.
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Constrain LLM output with grammars; guarantee valid JSON.
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Fast BPE/WordPiece tokenization and custom vocab training.
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Outlines: structured JSON/regex/Pydantic LLM generation.
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Structured LLM outputs validated with Pydantic.
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On-demand GPU cloud instances for ML training.
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Vision-language chat: VQA, captioning, image dialogue.
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Serverless GPU cloud for ML jobs and model APIs.
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SAM: zero-shot image segmentation via points, boxes, masks.
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Curate LLM training data: dedupe, filter, PII redaction.
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OBLITERATUS: abliterate LLM refusals (diff-in-means).
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Fine-tune large LLMs with LoRA on limited GPU memory.
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Managed vector DB for production RAG and search.
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Fully sharded data-parallel training for large models.
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Clean training loops with built-in distributed support.
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Vector search engine for production RAG systems.
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DSPy: declarative LM programs, auto-optimize prompts, RAG.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: