Airstrip
Open-source platform to build internal AI chat apps
Airstrip launched on August 22, 2024 with 21 votes, #973 of 5,471 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
What it does
Airstrip is an open-source platform that lets you manage AI integrations and build internal AI chat apps. No technical expertise is needed, just add data for context and prompt your chatbot.
Does a similar job
all alternatives →- OSOpen-source platform to build internal AI agents2024 · airstrip.pro · ▲5
Hi everyone, Airstrip is an open-source platform for users to build internal AI agents. We've made some major changes since our last release. - Improved chat experience with a memory layer: For this, we are using Mem0. This can be configured when creating the agent. - Notion-style editing to configure agent: A sleeker UI and a familiar editing experience for our users. - Encrypted API keys and only decrypted at the point of usage. We are using Infisical to store our encryption keys, ensuring greater security. - Add knowledge bases to chat assistants. We are using Unstructured to handle the…
Airstrip – An open-source platform to build and use internal AI apps2024 · github.com · ▲11Hey everyone, my cofounder and I are building Airstrip - https://github.com/hendychua/airstrip. Airstrip helps you manage your company's use of AI by providing a platform to integrate with your desired AI services and build internal AI apps for your employees. Here's a quick demo video: https://youtu.be/WREhMJMZmJA As AI usage becomes more common, companies want to carefully regulate which AI services they use and control what data is being sent to ensure data security and compliance. Building and using internal apps that use AI to streamline operations is…
Chat with your data using LangChain, Pinecone, and Airbyte2023 · airbyte.com · ▲220Hi HN, A few of our team members at Airbyte (and Joe, who killed it!) recently played with building our own internal support chat bot, using Airbyte, Langchain, Pinecone and OpenAI, that would answer any questions we ask when developing a new connector on Airbyte. As we prototyped it, we realized that it could be applied for many other use cases and sources of data, so... we created a tutorial that other community members can leverage [http://airbyte.com/tutorials/chat-with-your-data-using-opena...] and the Github repo to run it…
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