New tools for building agents

Framer Blog: Building Agents for Framer

A detailed look at what we learned while building design agents, from canvas-native workflows and CMS to quality, collaboration, speed, cost, community, and external agents.

Agent Plugins

A portable package format for reusable components that extend AI agents.

New capabilities for building agents on the Anthropic API | Claude

Claude now offers code execution, MCP server connections, file storage, and extended prompt caching through the API—giving developers powerful tools to build agents that analyze data, connect to external systems, and maintain context for longer periods of time.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

This survey paper examines the recent advancements in AI agent implementations, with a focus on their ability to achieve complex goals that require enhanced reasoning, planning, and tool execution capabilities. The primary objectives of this work are to a) communicate the current capabilities and limitations of existing AI agent implementations, b) share insights gained from our observations of these systems in action, and c) suggest important considerations for future developments in AI agent design. We achieve this by providing overviews of single-agent and multi-agent architectures, identifying key patterns and divergences in design choices, and evaluating their overall impact on accomplishing a provided goal. Our contribution outlines key themes when selecting an agentic architecture, the impact of leadership on agent systems, agent communication styles, and key phases for planning, execution, and reflection that enable robust AI agent systems.

Introducing advanced tool use on the Claude Developer Platform

Claude can now discover, learn, and execute tools dynamically to enable agents that take action in the real world. Here’s how.

Codex | AI Coding Partner from OpenAI

The best way to build with agents. Codex accelerates real engineering work, from planning and building features to refactors, reviews, and releases—working seamlessly across your tools.

Collaborator

A place to create with agents.

Tools: Code Is All You Need

The solution to agentic flows was code all along.

Building an Advanced Agentic Harness | Data For Science

From a single pilot to an air campaign: planning, parallelism, memory, verification, and observability for production-shaped agents.

The Open-Source Toolkit for Building AI Agents v2

An opinionated, developer-first guide to building AI agents with real-world impact

LukeW | Agent Management Interface Patterns

As an increasing number of AI applications evolve to agents doing work for people, agent management becomes a critical part of these product's design. How can p...

Pi: The Minimal Agent Within OpenClaw

A gentle introduction to the Pi coding agent and why I think it’s a glimpse into the future of software.

evalstate/fast-agent

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support