https://github.com/IBM/wxflows
Examples and tutorials for building AI applications with watsonx.ai Flows Engine
https://github.com/IBM/wxflows
agents ai api examples generative-ai gpt granite graphql langchain langgraph llama llm llms middleware mistral openai rag tool-calling tools watsonx
Last synced: 9 months ago
JSON representation
Examples and tutorials for building AI applications with watsonx.ai Flows Engine
- Host: GitHub
- URL: https://github.com/IBM/wxflows
- Owner: IBM
- License: mit
- Created: 2024-07-01T20:49:35.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-01-04T01:29:18.000Z (over 1 year ago)
- Last Synced: 2025-01-04T02:30:59.892Z (over 1 year ago)
- Topics: agents, ai, api, examples, generative-ai, gpt, granite, graphql, langchain, langgraph, llama, llm, llms, middleware, mistral, openai, rag, tool-calling, tools, watsonx
- Homepage: https://ibm.biz/wxflows
- Size: 4.05 MB
- Stars: 27
- Watchers: 7
- Forks: 8
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-mcp - IBM/wxflows
- awesome_ai_agents - Wxflows - Examples and tutorials for building AI applications with watsonx.ai Flows Engine (Building / Tools)
- metorial-index - wxflows - Deploys and manages projects using the wxflows framework, integrating various tools and data sources via the Model Context Protocol (MCP). Facilitates the use of the MCP TypeScript SDK alongside wxflows SDK for automated tool interactions. (Content Creation)
- awesome-mcp-servers - IBM wxflows - IBM's tool platform for building, testing, and deploying tools for any data source, enabling AI agents to create and manage data integrations through MCP. ([Read more](/details/ibm-wxflows.md)) `Data Integration` `Tool Building` `Ibm` (Workflow & Automation Mcp Servers)
- awesome-openclaw-skills - IBM wxflows - | (Cloud & DevOps)
README
# watsonx.ai Flows Engine
### Build, run & deploy Tools for AI Agents 🚀
With [watsonx.ai Flows Engine](https://ibm.biz/wxflows) you can build tools out of any data source, and deploy them to an endpoint in the cloud. Tools built with watsonx.ai Flows Engine can be used in any Agentic Framework using the SDK for Python & JavaScript.

**📹 [VIDEOS](https://www.youtube.com/playlist?list=PLzpeuWUENMK3jYU3Du7qEeeq3CeWm4jJV)** | **📝 [BLOGS](https://developer.ibm.com/search/?q=%22flows%20engine%22)** | **📗 [DOCUMENTATION](https://wxflows.ibm.stepzen.com/docs)** | **💬 [DISCORD](https://ibm.biz/wxflows-discord)** | **🆓 [FREE SIGNUP](https://ibm.biz/wxflows)**
## Tools
- [exchange](./tools/exchange/README.md)
- [wikipedia](./tools/wikipedia/README.md)
- [google_books](./tools/google_books/README.md)
- [math](./tools/math/README.md)
- [weather](./tools/weather/README.md)
- ... see [all tools](./tools/README.md)
❗ [**Build your own tool**](./tools/README.md) ❗
## Integrations
- [LangGraph](./examples/tool-calling/langgraph/)
- [LangChain](./examples/tool-calling/langchain/)
- [watsonx.ai](./examples/tool-calling/watsonx/)
- [OpenAI](./examples/tool-calling/openai/)
## Examples
- [End-to-end Agent Chat App](./examples/chat-app/)
- [Text-to-SQL Agent](./examples/text-to-sql-agent/)
- [YouTube transciption agent](./examples/langgraph-youtube-agent/)
- [Math agent](./examples/langgraph-math-agent/)
- [Model Context Protocol (MCP)](./examples/mcp/)
- [Tool Calling](./examples/tool-calling/)
- LangGraph
- [JavaScript](./examples/tool-calling/langgraph/javascript)
- LangChain
- [JavaScript](./examples/tool-calling/langchain/javascript)
- [watsonx.ai](./examples/tool-calling/watsonx/)
- [OpenAI](./examples/tool-calling/openai/)
- [RAG](./examples/rag-question-answer/)
- [Summarization](./examples/webpage-summarization/)
## Support
Please [reach out to us on Discord](https://ibm.biz/wxflows-discord) if you have any questions or want to share feedback. We'd love to hear from you!