Advancing Developing Growing Agentic AI Together.

The AAIF provides a neutral, open foundation to ensure this critical capability evolves transparently, collaboratively, and in ways that advance the adoption of leading open source AI projects

News and Views from the AAIF

5.28.26

Hermes Ships Tool Search For MCP 🛠️🔎📈: Nous Research added Tool Search to Hermes Agent, letting models discover relevant MCP tools on demand instead of loading entire tool catalogs into context. Anthropic MCP evals cited by the project show Claude Opus 4 improving from 49% to 74% accuracy when Tool Search is enabled. – MarkTechPost
GitHub Copilot Switches To Token Based Billing 💸⚙️📊: GitHub’s usage based billing model officially goes live today, replacing request based pricing with token consumption and AI credit accounting. The change puts even more attention on tokennomics of long running coding agents and context heavy workflows. – GitHub
NVIDIA Open Sources Agent Skills For Physical AI 🤖🏭🛠️: NVIDIA released a large collection of open source agent tools and reusable skills spanning robotics, digital twins, autonomous systems, and vision AI workflows, expanding the ecosystem around reusable agent capabilities. – NVIDIA

Subscribe to the Daily Agentic AI LinkedIn Newsletter →

Upcoming Events

In agentic AI, the real breakthroughs happen in the room.

Ideas move faster face-to-face, and trust is built in real time. AAIF is bringing the agentic AI community together through events around the world—turning conversations into collaboration.

View All Upcoming Events

Event Videos

Discover how the future of intelligent systems is unfolding—watch recordings from recent Agentic AI Foundation conferences and events.

Watch Videos

Blog and Announcements

June 1, 2026 in Blog

AAIF Community Spotlight: Yaron Schneider – Why Strong Foundations and Standardization Will Define the Era of Agentic AI

How do we take the incredible momentum of autonomous AI agents and scale it into reliable, enterprise-grade production? As businesses rush to deploy agentic workloads, the focus is rapidly shifting…

May 29, 2026 in Blog

The Tool Abstraction Problem: Lessons Learned Building 1000+ MCP Tools

Most MCP tools are designed for programmers. Agents are not programmers. Building tools around tasks and intents, then obsessing over description quality, produces dramatically better selection accuracy and fewer failures…

May 28, 2026 in Blog

Datadog’s 5 Tips for Building AI Agents

Getting an AI agent to work is a different problem from getting it to run in production without someone watching it. Datadog built its first hundred agents across SRE, code…

Model Context Protocol

An open protocol that enables seamless integration between LLM applications and external data sources and tools.

goose

An open source, extensible AI agent that goes beyond code suggestions. Install, execute, edit, and test with any LLM.

AGENTS.md

A dedicated, predictable place to provide the context and instructions to help AI coding agents work on your project.

Submit a Project

Contribute to the future of open, community-driven AI by submitting your project proposal through the official GitHub process—your ideas can help shape a transparent and collaborative ecosystem for agentic technologies.

Submit Project Proposal