Langflow

One Python file, integrations-extras/langflow/niadra_component.py in the Python SDK repository, brings three components:

Niadra Context records the customer’s message and outputs the context for the prompt: the agent’s own notes (with Agent memory on), the customer’s pack and what changed on other channels. Connect it to the system prompt of your agent or prompt template, after your own instructions.
Niadra Record Reply records the agent’s reply and passes it on unchanged.
Niadra Search History searches the customer’s whole history. In tool mode the agent calls it with a query (and optionally a time phrase); the customer is the one the flow configured, never a value the model chooses.

Install

Copy the file into your Langflow components folder (or paste it into a custom component) and install the SDK where Langflow runs:

pip install niadra

Primitive	How the components wire it
Context	Niadra Context, connected to the system prompt after your instructions
Turns	Niadra Context records the customer’s message; Niadra Record Reply, the agent’s reply
Tools	Niadra Search History in tool mode, with the kit’s own description
Verification	The verification level field, on the components
Handoff	Outside the components; use the SDK or the API

The three take the same connection fields: the source key, the channel, the customer’s handle and the conversation id, usually mapped from the flow’s inputs.
When Niadra is slow or down, the context comes out empty and the search says the history is unavailable; the flow never stops.
The components use the synchronous SDK and cover context, turns and search; the timeline, opening an item and handoffs are left to the SDK.
Tested in integrations-extras/langflow/test_niadra_component.py, against the emulator.