{"id":24576623,"url":"https://github.com/bunsdev/agent-factory","last_synced_at":"2025-03-17T13:25:17.768Z","repository":{"id":269260639,"uuid":"906883523","full_name":"BunsDev/agent-factory","owner":"BunsDev","description":"Collection of agents creation tools, each of which allows for the creation of distinct types of AI agents.","archived":false,"fork":false,"pushed_at":"2024-12-24T05:39:58.000Z","size":580,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-23T22:49:55.922Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BunsDev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-22T07:36:26.000Z","updated_at":"2024-12-24T05:40:02.000Z","dependencies_parsed_at":"2024-12-22T08:30:42.931Z","dependency_job_id":"de502a95-1379-4ed4-87b7-a2db7e7b7eae","html_url":"https://github.com/BunsDev/agent-factory","commit_stats":null,"previous_names":["bunsdev/agent-factory"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BunsDev%2Fagent-factory","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BunsDev%2Fagent-factory/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BunsDev%2Fagent-factory/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BunsDev%2Fagent-factory/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BunsDev","download_url":"https://codeload.github.com/BunsDev/agent-factory/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244039254,"owners_count":20387841,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":[],"created_at":"2025-01-23T22:49:59.624Z","updated_at":"2025-03-17T13:25:17.745Z","avatar_url":"https://github.com/BunsDev.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv\u003e\n    \u003ch1\u003eAI Agent Factory\u003c/h1\u003e\n    \u003cp\u003eCollection of agent creation tools, each of which allows for the creation of distinct types of AI agents. \n    Enabling developers to harness AI agents to revolutionize operations and streamline application production, drawing from successful implementations that align with best practices.\u003c/p\u003e\n  \u003c!-- \u003ca href=\"https://www.youtube.com/\"\u003e --\u003e\n    \u003cdiv style=\"margin-top: 25px;margin-bottom:25px\"\u003e\n    \u003ch2\u003e\n      Chat Agent Example\n    \u003c/h2\u003e\n      \u003cimg width=\"700\" alt=\"Asana Chat Agent Conversation (Example)\" src=\"agents/asana/chatbot/example-chat.png\" /\u003e\n  \u003c!-- \u003c/a\u003e --\u003e\n\u003c/div\u003e\n\n\u003cp align=\"center\" style=\"margin-top: 25px\"\u003e\n  \u003ca href=\"#what-are-ai-agents\"\u003e\u003cstrong\u003eWhat are AI Agents?\u003c/strong\u003e\u003c/a\u003e ·\n  \u003ca href=\"#usage-instructions\"\u003e\u003cstrong\u003eUsage Instructions\u003c/strong\u003e\u003c/a\u003e ·\n\u003c/p\u003e\n\u003cbr/\u003e\n\n## What are AI Agents?\n\u003cdiv align=\"center\" style=\"margin-top: 25px;margin-bottom:25px\"\u003e\n\u003cimg width=\"2240\" alt=\"AI Agents and Agentic Applications Workflow Diagram\" src=\"https://miro.medium.com/v2/resize:fit:1100/format:webp/1*8C5-jT1MwQrJ8cO8Zfy81w.gif\"\u003e\n\u003c/div\u003e\n\nAt their core, AI agents are Large Language Models (LLMs) enhanced with the capability to engage with external systems.\n\nTheir applications are vast - from composing emails and managing CRM appointments to handling task management systems. \n\nThe possibilities are truly limitless, and I'm excited to help you explore the full scope of what's possible!\n\nWhat makes AI agents particularly remarkable is their ability to deliver powerful results with minimal coding requirements. \n\nYet, this simplicity doesn't limit their potential - there's enormous opportunity to develop sophisticated systems \nthat orchestrate multiple agents working in harmony to achieve extraordinary outcomes.\n\nThis is the exciting journey \nwe'll embark on and I'm thrilled to guide you through it!\n\n## Usage Instructions\n\nThe below instructions assume you already have Git, Python, and Pip installed. If you do not, you can install\n[Python + Pip from here](https://www.python.org/downloads/) and [Git from here](https://git-scm.com/).\n\nFirst clone this GitHub repository, open up a terminal,\nand change your directory to the folder for the current scenario you are watching (example: start with [/tools/pydantic-ai/](/pydantic-ai)).\n\nThe below instructions work on any OS - Windows, Linux, or Mac.\n\nYou will need to use the environment variables defined in the .env.example file in the folder (example for pydantic-ai: [`pydantic-ai/.env.example`](/tools/pydantic-ai/.env.example)) to set up your API keys and other configuration. Turn the .env.example file into a `.env` file, and supply the necessary environment variables.\n\nAfter setting up the .env file, run the below commands to create a Python virtual environment and install the necessary Python packages to run the code. \n\nCreating a virtual environment is optional but recommended. Make sure to run the pip install for each use case.\n\n```bash\npython -m venv agent-factory\n\n# On Windows:\n.\\agent-factory\\Scripts\\activate\n\n# On MacOS/Linux: \nsource agent-factory/bin/activate\n\ncd tools/pydantic-ai (or whichever tool or script)\npip install -r requirements.txt\n```\n\nThen, you can execute the code in the folder with:\n\n```bash\npython [script name].py\n```\n\n## Installation Instructions for `pipx` and `pip`.\n- Install pipx: `brew install pipx`\n- Install pip: `pipx install pip`","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbunsdev%2Fagent-factory","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbunsdev%2Fagent-factory","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbunsdev%2Fagent-factory/lists"}