Langflow

In this catalog it is the Frameworks option when you need to compose multi-step agent loops and tool handoffs. Keep Langflow on the observe/propose side of the loop: useful signals and drafts, with human or policy authority still required before anything irreversible runs.

Langflow is a visual LangChain-style builder: drag LLMs, prompts, stores, and agents, then export or serve the flow.

1. Compose nodes on the canvas (LLM, prompt, vector, agent).
2. Wire edges; configure credentials per node.
3. Run / chat-test the flow in the UI.
4. Export to code or deploy the flow API.

Related: langchain · langgraph · topics/07-dashboards · topics/12-central-nervous-system

• Use when: Langflow is a visual builder for LangChain-style flows: drag-and-drop LLMs, prompts, vector stores, and agents, with export paths to code matches the bottleneck and you specifically need to compose multi-step agent loops and tool handoffs.
• Skip when: another pack already covers the need with less ops surface, or Langflow would become a second place people retype truth.
• Prefer instead: compare LangChain, LangGraph before locking the cell.

• Ops: confirm license, hosting, and release cadence for Langflow (langflow-ai/langflow) before relying on it in a live corridor.
• Integration: bad credentials, scopes, or schema drift produce empty retrievals or runaway tool/model spend without an obvious UI alarm.
• Scope: Frameworks components support agents; they are not the company ledger or the approval authority.