agents

Search2o is a Python package for running searchable AI agents inside an organization, with a REST API, bundled GUI, and support for self-hosted or vendor LLMs.

A PHP framework built around the Action-Domain-Responder pattern, with a small core and an emphasis on code that humans and agents can both follow.

A curated learning roadmap for building production AI agents, covering OpenAI, Anthropic, MCP, harnesses, evals, memory, and safety. The README organizes the material into phases with exercises and a prioritized reading table.

Press release announcing Claudeforce, an expanded Salesforce–Anthropic partnership that connects Claude with Salesforce data, workflows, governance, and Slack to power governed enterprise actions.

A paper page about FrogNano, a 4B coding agent trained with RL on roughly 1,500 SWE environments using synthetic tasks and no distillation from a larger model.

A tournament site where users coach LLMs competing in embodied 1v1 soccer, with signup access and a live kickoff countdown.

A blog post about an experimental local LLM system where three qwen3.5:9b agents run autonomously, maintain stress states, self-modify capabilities, and coordinate through a shared OS-like layer.

A GitHub-hosted research note about an agent-driven engineering workflow, comparing merged PR volume across Kungfu, Google AX, and OpenAI references.