Source: https://seerepo.com/uses/langchain-anthropic
Markdown source: https://seerepo.com/uses/langchain-anthropic.md
Description: 10 public repos that SeeRepo read use langchain-anthropic. It's used most with langchain-openai, LangChain, and LangGraph.

# Open source repos that use langchain-anthropic

10 public repos that SeeRepo read use langchain-anthropic. It's used most with langchain-openai, LangChain, and LangGraph.

## Used most with

- langchain-openai: 7 repos
- LangChain: 6 repos
- LangGraph: 5 repos
- langchain-google-genai: 5 repos
- Rich: 4 repos
- Pydantic: 3 repos
- cryptography: 3 repos
- MCP: 3 repos

## The repos, by stars

1. [langflow-ai/langflow](https://seerepo.com/r/langflow-ai/langflow): Python · 156,450 stars · 1.5% signed by AI — Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
2. [TauricResearch/TradingAgents](https://seerepo.com/r/TauricResearch/TradingAgents): Python · 120,536 stars · 2.1% signed by AI — TradingAgents: Multi-Agents LLM Financial Trading Framework
3. [bytedance/deer-flow](https://seerepo.com/r/bytedance/deer-flow): Python · 84,984 stars · 12.7% signed by AI — An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
4. [virattt/ai-hedge-fund](https://seerepo.com/r/virattt/ai-hedge-fund): Python · 64,498 stars · 1.9% signed by AI — An AI Hedge Fund Team
5. [hsliuping/TradingAgents-CN](https://seerepo.com/r/hsliuping/TradingAgents-CN): Python · 32,827 stars — 基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
6. [langchain-ai/deepagents](https://seerepo.com/r/langchain-ai/deepagents): Python · 31,068 stars · 1.2% signed by AI — The batteries-included agent harness.
7. [NVIDIA/SkillSpector](https://seerepo.com/r/NVIDIA/SkillSpector): Python · 24,278 stars · 19.5% signed by AI — Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
8. [1Panel-dev/MaxKB](https://seerepo.com/r/1Panel-dev/MaxKB): Python · 23,112 stars — 🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
9. [rocketride-org/rocketride-server](https://seerepo.com/r/rocketride-org/rocketride-server): Python · 19,946 stars · 40.2% signed by AI — High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
10. [google/artemis](https://seerepo.com/r/google/artemis): Python · 16,838 stars — ARTEMIS turns natural-language instructions into reliable Android automation. It automates end-to-end workflows, captures logs, and integrates seamlessly with AI coding assistants such as Antigravity, Codex, and Claude Code. It also achieves 99%+ success rate on AndroidWorld Benchmark.

## Frequently asked questions

### What is the most popular open source repo that uses langchain-anthropic?

langflow-ai/langflow, with 156,450 stars on GitHub.

The proof: [langflow-ai/langflow on GitHub](https://github.com/langflow-ai/langflow)

### What other technologies is langchain-anthropic used with?

With langchain-openai (7), LangChain (6), LangGraph (5), langchain-google-genai (5), and Rich (4), out of the 10 repos that use it.

### What languages are the repos that use langchain-anthropic written in?

Python (10).

### How many repos that use langchain-anthropic have commits signed by AI?

7 of the 10; the most, rocketride-org/rocketride-server, with 40.2% of its commits.

The proof: [the commits each tool signed in rocketride-org/rocketride-server](https://seerepo.com/r/rocketride-org/rocketride-server/ai)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.