Advancing Artificial Intelligence (AI) Agent Ecosystems through the National Science Foundation Pathways to Enable Secure Open-Source Ecosystems (NSF PESOSE) Program

Advancing Artificial Intelligence (AI) Agent Ecosystems through the National Science Foundation Pathways to Enable Secure Open-Source Ecosystems (NSF PESOSE) Program is sponsored by NSF Directorate for Geosciences (GEO). This program aims to advance AI agent ecosystems by supporting the development of secure open-source platforms, models, and specifications in geosciences, and strengthening open-source ecosystems that produce publicly accessible, modifiable, and shareable software and hardware f…

Advancing Artificial Intelligence (AI) Agent Ecosystems through the National Science Foundation Pathways to Enable Secure Open-Source Ecosystems (NSF PESOSE) Program | NSF - U.S. National Science Foundation Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .

All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects.

Advancing Artificial Intelligence (AI) Agent Ecosystems through the National Science Foundation Pathways to Enable Secure Open-Source Ecosystems (NSF PESOSE) Program Encourages NSF Pathways to Enable Secure Open-Source Ecosystems (NSF PESOSE) proposals that focus on the protocols enabling AI agent ecosystems.

Encourages NSF Pathways to Enable Secure Open-Source Ecosystems (NSF PESOSE) proposals that focus on the protocols enabling AI agent ecosystems. The U.S. National Science Foundation (NSF) encourages proposals to the Pathways to Enable Secure Open-Source Ecosystems (PESOSE) program that focus on protocols enabling AI agent ecosystems.

The PESOSE program strengthens open-source ecosystems that produce publicly accessible, modifiable, and shareable software and hardware, models and specifications, languages and measures for security and cybersecurity of artificial intelligence (AI) models and systems, metrology, data tools and benchmarking tools.

These open ecosystems drive innovation across AI, cloud computing, finance, healthcare, education, manufacturing, mobility, and national security. PESOSE supports the maturation of the organizations that manage open-source ecosystems by helping them distribute development and grow broad user and contributor communities across academia, industry, and government.

The program also advances security and privacy by addressing vulnerabilities that affect how open ecosystems evolve. AI agent protocol ecosystems AI agents are moving beyond simple chat interfaces. They can operate for long periods, write and debug code, search databases, manage email and calendars, buy goods, and operate laboratory equipment.

These capabilities rely on open interfaces and shared standards that allow agents to communicate with tools, data sources, and each other. An AI agent ecosystem is a network of autonomous agents that communicate, coordinate, and work together using common protocols. These protocols let agents - built by different organizations or using different frameworks - smoothly share data, and perform tasks across different environments.

They are essential for scalable, secure, and reproducible AI systems. PESOSE and AI agent ecosystems The U.S. has a long history of advancing open technology ecosystems and their enabling protocols.

For example, early investments by the Defense Advanced Research Projects Agency (DARPA) and NSF enabled the Transmission Control Protocol/Internet Protocol (TCP/IP) which became the industry standard for addressing, transmitting, and routing data across interconnected networks. Today TCP/IP is the backbone of the Internet.

This Dear Colleague Letter (DCL) highlights NSF’s interest in PESOSE proposals that similarly advance the protocols for AI agent ecosystems, strengthen open‑source foundations and support growth across sectors. PESOSE welcomes proposals that advance one or more of the following: Interoperability. Develop open standards so agents can work across platforms and organizations without custom connectors.

Scalability. Create architectures that support large networks of agents, tools, and services while keeping integration simple. Cross-domain data classification mapping, Role- and attribute-based access control enforcement, Secure, policy-compliant communication channels, Robust authentication and fine-grained authorization, End-to-end auditability, and Formally specified, safe message formats.

Open Science Applications. Demonstrate and evaluate security features in AI ecosystem protocols that enable open science. Partnerships.

Build collaborations among academic, nonprofit, industry, and government partners to accelerate appropriate adoption. Education and Training. Expand training for students and postdoctoral researchers to contribute to AI agent ecosystems, including security and reliability.

NSF will give strong consideration to proposals that address these priorities. Research must remain unclassified and publicly releasable. When responding to this DCL, please title your proposal: “PESOSE / AI: Track #: (title)”.

Proposals must follow the requirements in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) and the NSF PESOSE solicitation. NSF will evaluate proposals submitted in response to this DCL based on their alignment with the goals above. For details, consult the full PESOSE solicitation and/or website.

Questions may be sent to: PESOSE@nsf. gov .

Assistant Director for Technology, Innovation and Partnerships Pathways to Enable Secure Open-Source Ecosystems (PESOSE) Directorate for Biological Sciences (BIO) Directorate for Computer and Information Science and Engineering (CISE) Directorate for STEM Education (EDU) Directorate for Engineering (ENG) Directorate for Geosciences (GEO) Directorate for Mathematical and Physical Sciences (MPS) Directorate for Social, Behavioral and Economic Sciences (SBE)