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Contents

GitHub
MCP Server·2025
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BlenderMCP

Siddharth (ahujasid)·Siddharth Ahuja

Runs an MCP server that lets an LLM like Claude drive Blender directly: create and edit objects, apply materials, inspect scenes, and run Python. Pulls assets from Sketchfab, Poly Haven, and Hyper3D so prompts build editable 3D scenes.

#mcp#mcp-server#mcp-client#claude#anthropic+5
GitHub
MCP Server·2025
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DBHub

Bytebase

Lets AI agents like Claude Desktop and Cursor explore schemas and run SQL across Postgres, MySQL, MariaDB, SQL Server, and SQLite through one MCP server. A read-only mode stops the agent mutating data; no per-database drivers to wire up.

#mcp#mcp-server#postgres#docker#nodejs+5
GitHub
MCP Server·2025
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XcodeBuildMCP

Sentry

Exposes xcodebuild, simulator, and device actions as Model Context Protocol tools, so AI agents can build, run, capture logs, and debug iOS and macOS apps without hand-written scripts. Also runs as a standalone CLI and plugs into MCP clients.

#mcp#mcp-server#mcp-client#agent-skills#ai-agent+3
GitHub
AI Client·2025
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TaxHacker

vas3k

Extracts and structures data from receipts, invoices and transaction documents using configurable LLM prompts for a self-hosted accounting workflow. Offers multi-currency (including crypto) historical conversion, custom fields/prompts, batch processing and Docker-based deployment for local data control.

#ocr#finance#docker#postgres#ai-tools+4
GitHub
AI Coding·2025
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Kilo

Kilo-Org

Runs as an AI coding agent across VS Code, JetBrains, and the CLI, with model switching, specialized agents, code review, and autonomous execution modes.

#ai-coding#ai-agent#ai-tools#github#mcp+5
GitHub
Embodied AI·2025
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NVIDIA Isaac GR00T

NVIDIA

A vision-language-action foundation model and reference stack for generalized humanoid and cross-embodiment robot manipulation. Provides pretrained checkpoints, demo datasets, and tooling for fine-tuning, evaluation, and deployment (ONNX/TensorRT); released as Early Access.

#nvidia#robotics#foundation-model#vision#pytorch+5
GitHub
AI Agent·2025
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OpenAI Agents SDK

OpenAI

Provider-agnostic framework for orchestrating multi-agent LLM workflows in Python: agents that delegate via handoffs, function/MCP/hosted tools, input/output guardrails, automatic session memory, and a visual tracing UI for debugging runs.

#openai#ai-agent#agent-skills#python#llm+3
GitHub
AI Infra·2025
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MLX LM

ml-explore·Apple

Runs and fine-tunes LLMs locally on Apple silicon via the MLX framework, pulling thousands of Hugging Face models with one command. Adds 4- and 8-bit quantization, LoRA and full fine-tuning, prompt caching, and distributed inference across Macs.

#huggingface#llm#LLM#python#ai-inference+5
GitHub
AI Train·2025
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Agent Reinforcement Trainer (ART)

Brad Hilton, Kyle Corbitt +6·OpenPipe

Trains multi-step LLM agents with reinforcement learning (GRPO) on your own tasks, wrapping existing agent code behind an OpenAI-compatible client. Its RULER mode scores trajectories with an LLM judge, so there's no reward function to hand-write.

#RL#LLM#vllm#ai-train#ai-development+2
GitHub
AI Agent·2025
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XianyuAutoAgent

shaxiu, cv-cat (contributor)

Provides 7×24 automated customer service for the Xianyu marketplace with multi-expert routing, context-aware dialogue, and a laddered bargaining system. Built in Python and designed to run against an LLM provider with browser-cookie integration for web interactions.

#chatbot#ai-agent#prompt-engineering#python#llm+3
Hugging Face
AI Dataset·2025
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olmOCR-bench

Jake Poznanski, Jon Borchardt +7·Allen Institute for Artificial Intelligence (AI2), AllenNLP / olmOCR team

Benchmark for evaluating OCR systems that convert PDFs and scans into Markdown and structured text: 1,403 PDFs and 7,010 unit tests covering text presence/absence, reading order, tables, and math formula accuracy. Diverse sources and ODC-BY-1.0 license for research use.

#ocr#evaluation#vision#huggingface#paper+1
GitHub
AI Infra·2025
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QuantMind

LLMQuant

Transforms unstructured financial content—papers, news, blogs, and filings—into a queryable semantic knowledge graph for retrieval-augmented research. Combines domain-tuned LLMs, embedding-based search, and modular ingestion pipelines; aimed at quant research teams and institutional workflows.

#finance#RAG#embeddings#python#llm+3
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