News on open-source AI: community models, open licenses, datasets, and tools. We report updates, tests, and clear how-to guides. We explain speed vs quality choices and simple ways to ship. Feature active projects from Hugging Face, Stability, and more.
On August 11, 2026, IBM and Together AI signed a $240 million, multi-year deal to stand up a dedicated NVIDIA-powered inference cluster on IBM Cloud, with availability targeted for Q1 2027, according to the companies’ joint announcement on PR Newswire. The move centers on open-aistory.news model serving at production scale, and it stakes IBM’s claim […]
Goose ships a native agent for macOS, Linux, and Windows, lists 70+ Model Context Protocol (MCP) extensions, and connects to 15+ model providers, according to the Goose documentation. That mix — an on-device UI with standards-first plumbing — is the part worth watching. What the goose desktop app actually ships today The goose desktop app […]
Over 100,000 developers have earned CrewAI certifications, according to the project’s GitHub page. That crowd is rallying around one idea baked into the framework: pair autonomous agents with hard rails. The feature doing the heavy lifting there is CrewAI Flows, which stitches event-driven steps together with calls to single models and with role-based agent teams […]
One prompt can push an autonomous agent to overwrite a database. Microsoft’s new open-source toolkit aims to stop that at the moment of action, bringing AI agent runtime security to the foreground, according to ArtificialIntelligence-News.com. What Microsoft shipped: a policy firewall for agents Enterprise AI is moving from chatty copilots to agents that read emails, […]
On April 13, 2026, Stanford HAI published its overview of the AI Index 2026, saying the field is hitting “breakthrough capabilities” while raising urgent questions about environmental costs, transparency, and who benefits. That reframes expectations for frontier labs. For OpenAI, the OpenAI deployment strategy will be judged as much by how models are shipped as […]
CrewAI says more than 100,000 developers have completed its community courses, and the framework now pitches Crews for agent collaboration and Flows for event-driven control. That growth exposes a hard requirement: CrewAI observability that makes failures traceable and performance tunable in production. The question for teams is whether to lean on CrewAI’s commercial control plane […]
On GitHub, CrewAI positions its open-source framework around two pillars—Crews and CrewAI Flows—designed to push agent work from demos to production. The project describes role-based agents that collaborate as “Crews” and an event-driven layer called Flows that gives teams precise control of each step in a workflow (CrewAI on GitHub). CrewAI also claims more than […]
CrewAI has turned a GitHub project into an opinionated take on multi-agent automation: give every agent a role, let them collaborate as a crew, then orchestrate the whole thing with event-driven flows. The pitch, laid out on the CrewAI repository, aims to shrink the gap between lab demos and production runs. What CrewAI actually ships […]
CrewAI says more than 100,000 developers have taken its community courses and are building on its Python framework for multi-agent workflows, and the company now pushes higher with a commercial layer called the CrewAI AMP Suite. The move raises a sharp question for teams: let your framework vendor run the control layer, or pick a […]
