Define declarative programs to orchestrate multi-agent AI workflows.
npx skills add https://github.com/wangqianCAI/OBI --skill prose-wangqiancai
Please help me install this Agent Skill. Skill: prose Source: https://github.com/wangqianCAI/OBI/tree/main/extensions/open-prose/skills/prose Command: npx skills add https://github.com/wangqianCAI/OBI --skill prose-wangqiancai
OpenProse solves the complexity of managing multi-agent AI workflows by providing a structured, Turing-complete programming language that runs directly within an AI session, eliminating the need for external orchestration frameworks.
Run the hello world example program by executing the prose run examples/01-hello-world.prose command in your terminal.
High-intent search queries and answers about installing and using this skill.
You can orchestrate multi-agent workflows by defining a declarative programming language that runs directly within an AI session, eliminating the need for external orchestration frameworks.
Building a multi-step content pipeline is done by defining reusable agent templates with specific models and skills, allowing one agent to research, another to draft, and a third to review submissions.
Yes, you can maintain persistent memory across multi-agent sessions using file-based or database-backed state management integrated directly into the declarative execution environment.
The best way to manage reusable agent templates is using a Turing-complete programming language that defines specific models, skills, and permissions for modular task pipelines across diverse AI assistant environments.
Yes, orchestrating task pipelines requires the ability to spawn subagent sessions via Task tool calls and manage state through a structured filesystem or database backend.
letta-aiCompile SQLite with gcov instrumentation and verify .gcno/.gcda generation.
me2DocExecute .prose programs that orchestrate multi-agent workflows via the Task tool.
agusmdevOrchestrate multi-agent AI workflows with a declarative VM.
kentojeGenerate OpenProse workflow code from plain English descriptions.
