aniketmaurya/Agents
Build Agentic workflows with function calling using open LLMs
This framework helps AI developers build sophisticated AI applications that can interact with various external tools and process different types of data. It takes in instructions and data (like text or images) and produces intelligent responses or actions by leveraging large language models and integrated tools (e.g., web search, weather data). Developers or AI engineers who need to deploy AI agents capable of complex tasks will find this useful.
Use this if you are an AI developer looking to build and deploy AI agents that can utilize external tools and handle both text and image inputs in a production environment.
Not ideal if you are an end-user without programming skills or if you only need a simple, single-purpose chatbot without complex tool integrations.
Stars
28
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/aniketmaurya/Agents"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
InfinitiBit/graphbit
GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a...
autogluon/autogluon-assistant
Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
pguso/agents-from-scratch
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no...
samholt/L2MAC
🚀 The LLM Automatic Computer Framework: L2MAC
pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of...