{"id":30612397,"url":"https://github.com/mecha-aima/ai-agents","last_synced_at":"2026-05-10T07:51:55.715Z","repository":{"id":311957547,"uuid":"1027654758","full_name":"Mecha-Aima/AI-Agents","owner":"Mecha-Aima","description":"Experimental AI agents built with Google ADK and LangGraph, exploring agentic workflows across various domains","archived":false,"fork":false,"pushed_at":"2025-08-27T18:00:33.000Z","size":63,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-28T02:23:54.136Z","etag":null,"topics":["agentic-ai","agents","fastapi","langgraph","python3"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Mecha-Aima.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null}},"created_at":"2025-07-28T10:33:16.000Z","updated_at":"2025-08-27T18:00:36.000Z","dependencies_parsed_at":"2025-08-28T02:28:10.768Z","dependency_job_id":"e6b5faaa-267b-4a02-a3f2-3550ee50e76f","html_url":"https://github.com/Mecha-Aima/AI-Agents","commit_stats":null,"previous_names":["mecha-aima/ai-agents"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/Mecha-Aima/AI-Agents","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mecha-Aima%2FAI-Agents","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mecha-Aima%2FAI-Agents/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mecha-Aima%2FAI-Agents/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mecha-Aima%2FAI-Agents/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Mecha-Aima","download_url":"https://codeload.github.com/Mecha-Aima/AI-Agents/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mecha-Aima%2FAI-Agents/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279011852,"owners_count":26085004,"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","status":"online","status_checked_at":"2025-10-12T02:00:06.719Z","response_time":53,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["agentic-ai","agents","fastapi","langgraph","python3"],"created_at":"2025-08-30T05:13:24.085Z","updated_at":"2025-10-12T15:19:03.745Z","avatar_url":"https://github.com/Mecha-Aima.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI Micro‑SaaS Agents\n\nA collection of small, focused AI agents I’m building for micro‑SaaS use cases. Projects are scoped, practical, and designed to be easy to run and adapt.\n\n## 🧩 Agents in this repo\n\n- Database Agent (`database-agent`): AI that manages a personal SQLite life‑tracker (expenses, habits, workouts). Uses Google ADK + an MCP server for database tools. See the agent’s README for setup and running with `adk web`.\n- Dev Research Agent (`dev-research-agent`): Streamlit app that researches and compares developer tools using LangGraph + Firecrawl. Includes robust rate‑limit handling. See README for `uv sync` and `run_app.py`.\n- Gmail Assistant (`email-agent`): LangGraph‑based ambient agent that triages email, drafts replies, checks calendar, and schedules meetings using Gmail/Calendar APIs. Local dev via `langgraph dev` and ingestion script.\n- Social Media Manager (`social-media-manager`): Content manager that maintains user profile, content calendar, and content guidelines with memory. Built with LangGraph + OpenAI. Run the CLI in `main.py`.\n\n## 📁 Repository structure\n\n```\nAI Agents/\n├── database-agent/\n├── dev-research-agent/\n├── email-agent/\n├── social-media-manager/\n├── pyproject.toml\n├── README.md\n└── uv.lock\n```\n\nEach agent has its own `README.md` (or docs) with prerequisites and commands. Follow those per‑agent instructions for environment setup and running.\n\n## 🛠️ Tech used across agents\n\n- LangGraph and LangChain for agent workflows and tools\n- Google ADK for agent scaffolding (where applicable)\n- Python (with `uv` in some projects)\n- Firecrawl (research/scraping) and Google APIs (Gmail/Calendar) where needed\n- OpenAI models for reasoning and extraction\n\n## 🚀 Getting started\n\n1) Pick an agent directory from above\n2) Read its README for environment variables and commands\n3) Run with the provided entry point (e.g., `adk web`, `langgraph dev`, `run_app.py`, or `python main.py`)\n\n## 🤝 Contributing\n\nSuggestions and improvements are welcome:\n\n- Open issues for bugs or ideas\n- Propose enhancements to existing agents or new micro‑SaaS agents\n\n## 📄 Licensing\n\nLicenses and third‑party terms vary by subproject. Please review each agent’s files and respect upstream dependencies.\n\n---\n\nBuilt for practical, composable agent workflows.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmecha-aima%2Fai-agents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmecha-aima%2Fai-agents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmecha-aima%2Fai-agents/lists"}