12 open-source projects share topics or a category with a-stock-data. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
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 / Codex. 4 masters' methodologies + multi-agent adversarial analysis.
Choose ai-berkshire if…
you would rather work in HTML than Python
MIT License suits your use better than Apache License 2.0
you specifically need ai or anthropic
Shares ai-agent, claude-code, fintech, investment-research with a-stock-data.
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Choose omnigent if…
you specifically need agent-framework or agent-governance
Shares ai-agent, claude-code, python with a-stock-data.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Choose headroom if…
you want something your agent can install directly rather than a library to wire up yourself
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
Choose llm-wiki-agent if…
MIT License suits your use better than Apache License 2.0
you prefer a smaller, narrower project to a large one
Open-source AI Trading OS and commercial-ready multi-tenant SaaS platform — research markets, build Python strategies, backtest, paper/live trade, and monitor crypto, stocks, and forex, with built-in user management, billing, payments, and settlement to launch and operate your own trading service.
Choose QuantDinger if…
you want something your agent can install directly rather than a library to wire up yourself
you specifically need agent or ai
Shares fintech, python, quantitative-finance with a-stock-data.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.