Agentic Frameworks

Agentic frameworks are the software toolkits developers use to build AI agents. These are systems that go beyond answering a single prompt: they plan multi-step tasks, call tools and APIs, keep track of state, and act with some degree of autonomy. The frameworks handle the plumbing, including orchestration, memory, tool integration, and coordination among multiple agents. That lets teams focus on what an agent should do rather than how to wire it together.

Why it matters now

The category is maturing quickly and fragmenting at the same time. Major vendors are shipping production-grade SDKs. Open-source projects are reaching 1.0 milestones and sometimes splitting into competing lineages. Shared protocols such as the Model Context Protocol (MCP) are becoming the common connector between agents and the services they rely on.

That standardization brings its own problems. Authentication weaknesses and poorly secured servers can turn a convenient integration layer into a broad attack surface. Meanwhile, agents are spreading beyond the cloud onto local workstations and embedded edge hardware, and organizations are working out how to buy, govern, and pay for them.

What you'll find here

This hub tracks:

• Framework and SDK releases: new versions, forks, and how they hold up for enterprise use
• Protocols and interoperability: MCP and related standards, plus the marketplaces forming around them
• Security and governance: vulnerabilities, access control, and the risks agents pose to companies and the wider web
• Business and funding: investment in agent startups and vendor platform strategies
• Deployment trends: on-device, edge, and local-hardware agents
• Ecosystem friction: debates over how autonomous bots should interact with businesses and publishers