Financial analysis is rarely a solo endeavor. In real-world institutions—from investment banks to asset management firms—complex tasks like producing quarterly…
Multi-agent Systems
Puppeteer: Dynamic Multi-Agent Orchestration for Efficient, Adaptive LLM Collaboration 27888
Managing complex tasks with large language models (LLMs) often hits a ceiling: while single models excel at narrow tasks, scaling…
PaperDebugger: AI-Powered In-Editor Academic Writing Assistant for Overleaf Users 1144
Academic writing is a deeply iterative and often fragmented process. Researchers routinely juggle LaTeX editors like Overleaf, reference managers, peer…
Agents: Build, Evolve, and Deploy Autonomous Language Agents Without Heavy Coding 5778
In today’s fast-moving AI landscape, organizations and researchers increasingly need intelligent systems that don’t just respond to commands—but plan, collaborate,…
CAMEL: Build Scalable, Autonomous Multi-Agent AI Systems Without Constant Human Oversight 15059
In today’s AI landscape, large language models (LLMs) excel at solving complex tasks—but only when carefully guided by humans. This…
ElizaOS: The Web3-Friendly AI Agent Framework That Just Works 17177
In today’s fast-evolving landscape of artificial intelligence and decentralized systems, developers increasingly need tools that bridge the gap between large…
AutoAgents: Automatically Generate Specialized AI Teams for Complex Real-World Tasks 1444
Building intelligent systems that can handle open-ended, multi-step problems has long been a challenge in AI development. Traditional multi-agent frameworks…
MetaGPT: Automate Full Software Development with AI Agents That Work Like a Real Engineering Team 60511
Building reliable software from natural language prompts remains a major challenge—even for today’s most capable large language models (LLMs). While…
TradingAgents: A Multi-Agent LLM Framework That Mirrors Real Trading Desks for Smarter Financial Decisions 26486
Automated financial trading has long relied on rule-based systems or single-agent machine learning models that struggle to capture the nuanced,…
EvoAgentX: Automate, Evolve, and Scale Multi-Agent LLM Workflows Without Manual Orchestration 2366
Overview Building reliable, scalable systems with large language models (LLMs) often involves stitching together multiple agents, tools, and prompts—a process…