8 Best BettaFish Alternatives in 2026 (Open Source)
BettaFish — 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。. Implements a unique 'forum' debate mechanism where specialized agents with different toolsets collaborate through structured discussion.
These 8 open-source tools do the same job. They are ordered by how closely they match BettaFish, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| BettaFish(original) | 42.3k | +3,527 | 2026-09-04 |
| TrendRadar | 62.6k | +5,219 | 2026-09-13 |
| AI Berkshire | 16.6k | +1,382 | 2026-09-27 |
| FinRobot | 8.1k | +260 | 2026-09-28 |
| 股票智能分析系统 | 65.8k | +5,485 | 2026-09-30 |
| TradingAgents | 109.4k | +10,684 | 2026-09-29 |
| AgentVerse | 5.1k | +27 | 2024-09-09 |
| GPTeam | 1.7k | +1 | 2024-06-28 |
| ChatArena | 1.6k | +4 | 2025-08-11 |
1. TrendRadar
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能
What sets it apart: Provides a dedicated MCP server to turn public opinion monitoring and trend forecasting into a natural language tool for AI agents.
Best for: Providing real-time trend data to AI agents; Adding sentiment and public opinion analysis to agent toolkits; Self-hosting a specialized data source for agent workflows
2. AI Berkshire
AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Co
What sets it apart: Forces multi-agent adversarial analysis with four distinct master methodologies instead of single-prompt AI responses.
Best for: Structuring AI-driven investment research; Implementing multi-perspective agent analysis; Building disciplined decision frameworks for AI agents
3. FinRobot
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
What sets it apart: Only open-source AI agent platform purpose-built for financial analysis — 8 specialized agents generate institutional-grade equity research reports with DCF, peer comparison, and risk assessment
Best for: Financial analysts automating equity research reports; Investment teams needing AI-powered DCF/valuation analysis; Finance students learning quantitative analysis workflows
4. 股票智能分析系统
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashbo
What sets it apart: Combines LLM-powered decision reports with multi-source data aggregation and zero-cost scheduled automation for comprehensive stock analysis.
Best for: Developers building automated stock analysis agents; Traders wanting AI-powered daily market analysis; Teams needing scheduled multi-market stock monitoring
5. TradingAgents
TradingAgents: Multi-Agents LLM Financial Trading Framework
What sets it apart: Unlike general agent frameworks (CrewAI, AutoGen), TradingAgents is the only open-source framework that replicates a complete trading firm structure with specialized analyst teams, bull/bear researcher debates, and risk management approval workflows — purpose-built for financial market analysis.
Best for: Financial researchers exploring LLM-powered multi-agent trading analysis; Quantitative analysts wanting to augment traditional analysis with AI agent debate systems
6. AgentVerse
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
Best for: Researchers studying multi-agent LLM behaviors and emergent phenomena; Engineers building collaborative AI systems with specialized agent roles; Academic projects exploring agent coordination and social simulation
7. GPTeam
GPTeam: An open-source multi-agent simulation
What sets it apart: vs single-agent systems: agents with individual memory communicate as a team using messaging as a tool — spatial simulation with location-based interaction adds a unique social dynamics layer
Best for: Multi-agent collaboration simulations and research; Exploring agent communication and coordination patterns; Simulating team dynamics with AI agents
8. ChatArena
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
What sets it apart: Multi-agent language game environments for studying LLM social interactions, built on Markov Decision Process abstractions (now deprecated)
Best for: multi-agent-interaction-research; llm-social-behavior-study; language-game-benchmarking
FAQ
- What are the best alternatives to BettaFish?
- The closest open-source alternatives to BettaFish are TrendRadar, AI Berkshire and FinRobot, followed by 股票智能分析系统, TradingAgents and AgentVerse. They are ranked by how closely they match what BettaFish does.
- Which BettaFish alternative is the most popular?
- TradingAgents has the most GitHub stars among BettaFish alternatives, with 109,365 stars.
- Which BettaFish alternative is the most actively maintained?
- By recent activity, AI Berkshire (358 commits in the last 90 days) is the most actively developed alternative.