Inferable
Inferable is an open source platform for creating conversational AI agents for internal operations.
Product Details
Inferable is a conversational AI agent platform focused on internal operations, designed to help enterprises and teams integrate internal systems, fragmented code bases and one-off scripts. Through conversational agents, companies can reduce time investment in developing internal tools and increase work efficiency. The platform supports SDKs for multiple programming languages, including Node.js, Golang, and C#, with plans to expand support for more languages. At its core is a distributed message queue that ensures scalability and reliability of AI automation. In addition, Inferable provides rich features, such as distributed function orchestration, Human in the Loop, code reuse, language support, local execution, observability, and structured output. It also has a built-in ReAct agent that can solve complex problems through step-by-step reasoning and call functions to solve sub-problems. Inferable is completely open source and supports self-hosting, allowing users to run on their own infrastructure, ensuring full control of data and computing. Its pricing and specific positioning information are not explicitly mentioned on the page, but judging from its functions and target audience, it is mainly aimed at enterprise-level users, especially teams that require efficient internal operations and data privacy protection.
Main Features
How to Use
Target Users
This product is mainly targeted at enterprise-level users who need efficient internal operations and data privacy protection, especially rapidly growing engineering teams. By integrating internal systems and code bases, Inferable helps teams reduce time investment in internal tool development and improve work efficiency. Its SDK support for multiple programming languages and powerful functions enable it to quickly adapt to the technology stacks and business needs of different enterprises. In addition, its open source and self-hosted features provide users with higher flexibility and data control, making it suitable for enterprises with strict requirements for data privacy and security.
Examples
In-house support teams can use Inferable to quickly respond to employee IT support requests, automatically dispatching tasks through conversational agents.
Development teams can use Inferable to integrate code libraries and scripts to reduce manual intervention and improve development efficiency.
Data teams can use Inferable's distributed function orchestration capabilities to automate data processing and analysis.
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