Build AI Agents with Agentos
From the repo · “TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.”
Agentos is a TypeScript AI agent framework that enables the creation of autonomous AI agents for multi-agent orchestration with cognitive memory and runtime tool forging capabilities.
- •When building autonomous systems that require multiple AI agents to interact and make decisions
- •When needing to integrate multiple large language models (LLMs) from different providers into a single application
- •When developing complex, dynamic workflows that require adaptive decision-making and execution
Create an agent that uses the OpenAI LLM provider to generate text based on user input: `const agent = new Agent({ provider: 'openai' }); agent.setup(); agent.loop('generate text based on user input');`Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/agentos && curl -fsSL https://workflowstacks.com/api/skills/agentos/claude-skill -o ~/.claude/skills/agentos/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/agentos && curl -fsSL https://workflowstacks.com/api/skills/agentos/claude-skill -o ~/.claude/skills/agentos/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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