Ashpreet Bedi is a CEO and founder with nine years of engineering experience building developer-focused infrastructure for AI agents. After senior engineering stints at Facebook and Airbnb, he launched Agno to provide lightweight, model-agnostic agent infrastructure that adds memory, knowledge, tools and streaming capabilities to LLMs. He remains hands-on in the codebase, contributing backend features like agent streaming and OpenAIChat support to the popular agno-agi/agno project. Based in New York, he blends product leadership with deep technical execution—turning research-forward agent ideas into pragmatic tooling for engineers. An unexpected through-line in his work is a consistent focus on making advanced AI primitives accessible and performant for everyday developer workflows.
Agno is a lightweight library for building Multimodal Agents. Use it to give LLMs superpowers like memory, knowledge, tools and reasoning.
Role in this project:
Backend Developer
Contributions:311 releases, 302 reviews, 198 commits in 10 months
Contributions summary:Ashpreet primarily focused on updating and expanding the functionality of various cookbooks within the project. Their contributions included implementing new functionalities, such as agent streaming and support for OpenAIChat models. These changes indicate their active participation in extending the library's capabilities.
Contributions:46 releases, 4 PRs, 73 pushes in 7 months
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