Obsidian AutoGen framework

medal
Created by team AI on Rails on November 03, 2023

AutoGen-on-Rails is low-code framework for building AI Agents with AutoGen. Goal of project is to provide easy to use tool for bootstrapping and debugging ai agents builds on AutoGen. Developer can upload and manage there own knowledge base, setup custom prompts and AutoGen setting, provide tests and get agent benchmarks based on Eval approach. Framework also accumulate agent logs and token consumption for debugging purposes. Developer can monitor how does quality of model is changing while modifying agent and embedding parameters. Using pre-defined ai agents, developers can experiments with new LLM approaches and techniques.

Category tags:
Explore more applications

AuraOS

Aura is a sovereign, neuro-symbolic AI operating system that turns natural-language intent into transparent, governed action through local parsing, agent collaboration, bounded experimentation, verifiable learning, and human-controlled decision gates.

AuraOS

AI/ML APIAI StudioAnthropic ClaudeAntigravityChatGPTCodexCursorCustom GPTsDeepSeek V3Gemini 3 FlashGemini 3 proGemini AIGPT-5GroqHuggingFace HubIBMLlama 4OpenAIQwen3-Coder
Vercel
application badge

AI_lifeOS

AI LifeOS is an AI-powered platform that helps students learn, build skills, explore career paths, and prepare for jobs through personalized roadmaps, AI tutoring, and progress tracking.

AMD Ryzen master

MongoDBLlama 3.2GroqAI/ML API
Vercel
application badge

Narraflow

NarraFlow is a multi-agent AI storytelling platform that transforms simple prompts into immersive stories. Specialized AI agents collaborate to plan plots, develop characters, maintain consistency, and generate engaging narratives in real time

Tech Titan

Claude Code

TRANSDUCER - Style-Aware Video Captioning-Agent

TRANSDUCER watches any video clip and captions it in four voices - formal, sarcastic, humorous_tech, humorous_non_tech. One 1024px look, four persona briefs, grounded in what's on screen

Mealy and Moore

Anthropic ClaudeClaude CodeAntigravityCursor

Simple Video captioner

This project is a simple video captioner. Uses a VLM to extract the text from a video and another model to transform the description in the required styles. As a fallback, it contains a fine-tunned local model based on Gemma 4.

Neotron

AMD Developer CloudClaude CodeAI/ML API