Upsonic - Most Reliable AI Agent Framework
Upsonic is a reliability-focused framework designed for real-world applications. It enables trusted agent workflows in your organization through advanced reliability features, including verification layers, validator agents, and output evaluation systems.
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Hi Guys,
Upsonic is the most reliable AI agent framework. One of the most important problems when using agents is having to check whether the LLM is hallucinating. Upsonic reduces this problem by nearly 98%.
Core Capabilities:
Enterprise-Ready Deployment: Effortlessly launch on AWS, GCP, or Docker environments.
Task-Focused Architecture: Practical execution options including:
Simple LLM-based operations
Enhanced functionality with V1 agents
Sophisticated workflows via V2 agents with MCP
High-Performance Processing: Leverage multi-client processing server for demanding applications
Secure Tool Management: Handle exceptions gracefully with robust API integration
Human-Like Task Execution: Incorporate Anthropic's Computer Use technology
Streamlined Tool Integration: Add custom and MCP tools with minimal code
Advanced Reliability System: Upsonic delivers exceptional output accuracy through a comprehensive verification framework:
Verification Agent: Screens for inconsistencies, numerical errors and hallucinations
Refinement Agent: Processes feedback to optimize outputs to quality standards
Verification Cycles: Implements scored improvement iterations
Quality Control Loops: Maintains precision through strategic feedback mechanisms
Trickle
@bartu Ready Deployment on AWS and GCP make it super user-friendly, especially for teams looking to scale. Greate job!
@victoria_wu Thank you Victoria
Congrats on the launch @bartu , I always love asking this question when it comes to new launches: What’s your and your team’s favorite feature, or what sets you apart from similar solutions?
@berkebasaraner Thanks for question. We prevent the LLM from giving hallucination messages and put the LLM in a loop to ensure correct output, achieving 98% reliable results.
Do you have benchmarks comparing it against other frameworks like AutoGen or CrewAI?
I've been testing different AI agent frameworks and reliability has always been a major pain point.
congratulations!!!
@madalina_barbu Thank you
Shram
This sounds solid! The hallucination problem is a real headache for AI agents, and cutting it down by 98% is a game-changer. Love the focus on reliability and enterprise deployment, especially the verification and refinement agents keeping things in check.
Congrats on the launch!
Best wishes and sending lots of wins to the team :) @bartu
@whatshivamdo Thank you Shivam
Huge congratulations on the launch of Upsonic! Tackling AI hallucinations with a 98% reduction is a massive win for reliability. The combination of enterprise-ready deployment, high-performance processing, and advanced verification makes this an exciting leap forward for AI agents. Wishing you a fantastic launch!
App Finder
Looks like a great solution!
I saw the benchmarks on GitHub, but maybe you should publish a white paper explaining the results and why this is "most reliable"?
aiPDF
Great work! Best of luck with your launch!