{"id":26166444,"url":"https://github.com/sma1lboy/arcticai","last_synced_at":"2026-04-18T23:34:12.383Z","repository":{"id":281480318,"uuid":"938674397","full_name":"Sma1lboy/ArcticAI","owner":"Sma1lboy","description":"🦊 An intelligent multi-agent framework for CodeFox ecosystem that orchestrates collaborative AI agents with adaptive decision-making 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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["framework","javascript","muti-agent","typescript"],"created_at":"2025-03-11T16:54:32.564Z","updated_at":"2026-04-18T23:34:12.361Z","avatar_url":"https://github.com/Sma1lboy.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ArcticAI\n\n![alt text](image.png)\nA TypeScript framework for building flexible multi-agent systems using modern LLMs (Large Language Models).\n\n## Features\n\n- **Modular Agent Framework**: Create specialized agents for different tasks\n- **Multi-Agent Orchestration**: Manage flows with multiple cooperative agents\n- **Extensible Tool System**: Build and use custom tools for agent interactions\n- **Planning and Execution**: Manage complex task decomposition and execution\n- **TypeScript/JavaScript Support**: Built with TypeScript for static typing and JavaScript for flexibility\n\n## Installation\n\n```bash\nnpm install ts-multi-agents\n```\n\n## Quick Start\n\n### Basic Agent Example\n\n```typescript\nimport {\n  ToolCallAgent,\n  ToolCollection,\n  Terminate,\n  CreateChatCompletion,\n} from \"ts-multi-agents\";\n\n// Configure your agent\nconst agent = new ToolCallAgent(\"SimpleAssistant\", {\n  description: \"A simple assistant that can respond to queries\",\n  systemPrompt:\n    \"You are a helpful assistant that answers user questions accurately and concisely.\",\n  availableTools: new ToolCollection(\n    new CreateChatCompletion(),\n    new Terminate()\n  ),\n});\n\n// Run the agent\nconst result = await agent.run(\"Tell me about multi-agent systems\");\nconsole.log(result);\n```\n\n### Planning Agent Example\n\n```typescript\nimport {\n  PlanningAgent,\n  ToolCollection,\n  PlanningTool,\n  Terminate,\n} from \"ts-multi-agents\";\n\n// Create a planning agent\nconst planningAgent = new PlanningAgent({\n  name: \"Planner\",\n  description: \"Creates and manages plans for complex tasks\",\n  availableTools: new ToolCollection(new PlanningTool(), new Terminate()),\n});\n\n// Run with a complex task\nconst result = await planningAgent.run(\n  \"Plan a three-day trip to New York City\"\n);\nconsole.log(result);\n```\n\n### Multi-Agent System\n\n```typescript\nimport {\n  PlanningAgent,\n  ToolCallAgent,\n  FlowFactory,\n  FlowType,\n} from \"ts-multi-agents\";\n\n// Create specialized agents\nconst planningAgent = new PlanningAgent({ name: \"Planner\" /* config */ });\nconst researchAgent = new ToolCallAgent(\"Researcher\", {\n  /* config */\n});\nconst creativeAgent = new ToolCallAgent(\"Creator\", {\n  /* config */\n});\n\n// Create a multi-agent flow\nconst flow = FlowFactory.createFlow(\n  FlowType.PLANNING,\n  new Map([\n    [\"planner\", planningAgent],\n    [\"researcher\", researchAgent],\n    [\"creator\", creativeAgent],\n  ]),\n  {\n    primaryAgentKey: \"planner\",\n    executors: [\"researcher\", \"creator\"],\n  }\n);\n\n// Execute the flow\nconst result = await flow.execute(\n  \"Create a detailed report on renewable energy technologies\"\n);\nconsole.log(result);\n```\n\n## Core Components\n\n### Agents\n\n- **BaseAgent**: Abstract foundation for all agents\n- **ReActAgent**: Implements the ReAct (Reasoning and Acting) paradigm\n- **ToolCallAgent**: Specialized agent for tool/function 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