{"id":26896880,"url":"https://github.com/WebDevCaptain/agno-ai-agents","last_synced_at":"2025-04-01T04:02:22.449Z","repository":{"id":280451798,"uuid":"942040930","full_name":"WebDevCaptain/agno-ai-agents","owner":"WebDevCaptain","description":"Exploring Agno framework for building AI agents.","archived":false,"fork":false,"pushed_at":"2025-03-03T13:42:02.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-03T14:30:54.637Z","etag":null,"topics":["ai-agents","deepseek-r1","ollama","openai"],"latest_commit_sha":null,"homepage":"","language":"Shell","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/WebDevCaptain.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}},"created_at":"2025-03-03T13:30:16.000Z","updated_at":"2025-03-03T13:42:05.000Z","dependencies_parsed_at":"2025-03-03T14:41:51.680Z","dependency_job_id":null,"html_url":"https://github.com/WebDevCaptain/agno-ai-agents","commit_stats":null,"previous_names":["webdevcaptain/agno-ai-agents"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WebDevCaptain%2Fagno-ai-agents","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WebDevCaptain%2Fagno-ai-agents/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WebDevCaptain%2Fagno-ai-agents/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WebDevCaptain%2Fagno-ai-agents/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/WebDevCaptain","download_url":"https://codeload.github.com/WebDevCaptain/agno-ai-agents/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246580468,"owners_count":20800111,"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":["ai-agents","deepseek-r1","ollama","openai"],"created_at":"2025-04-01T04:02:21.204Z","updated_at":"2025-04-01T04:02:22.442Z","avatar_url":"https://github.com/WebDevCaptain.png","language":"Shell","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# AI Agents using `agno` and Ollama\n\nAgents example list:\n\n1. [Simple Ollama Agent](./ollama-agent.py)\n   The first basic agent that uses Deepseek R1 (8B parameter) model.\n\n2. [Finance Agent](./finance-agent.py)\n   A simple finance agent using Yahoo Finance tool and Qwen 2.5 (1.5B parameter) model via Ollama.\n\n3. [Team of Agents](./agent-teams.py)\n   The team of agents uses DuckDuckGo search and Yahoo finance to summarize analyst recommendation and share latest news for a company given its stock ticker symbol.\n\n4. [Image Agent](./image-agent.py)\n   The image agent reads an image and uses Llama 3.2 vision model to describe the image.\n\n5. [Knowledge Agent (WIP)](./knowledge-agent.py)\n   The knowledge agent reads a PDF using PyPDF and uses ChromaDB (a vector database) to store embeddings (using Ollama embedder) and retrieve knowledge based on user queries.\n\n---\n\n## Basic Architecture\n\n![Architecture](./images/ai-agents-architecture.svg)\n\n---\n\n## Requirements\n\n- [uv](https://github.com/astral-sh/uv)\n- [ollama](https://github.com/ollama)\n\n---\n\n## Commands\n\n1. Initialize the project\n\n```bash\nuv init\n```\n\n2. Create a Python virtual environment using `uv`\n\n```bash\nuv venv --python=3.13.2\n```\n\n3. Install `agno` (previously phi data) and `ollama`\n\n```bash\nuv add agno\nuv add ollama\n```\n\n4. Pull Deepseek R1 (8B) and Qwen 2.5 (1.5B) models from Ollama registry\n\n```bash\nollama pull deepseek-r1:8b\n\nollama pull qwen2.5:1.5b\n```\n\n5. Run the simple ollama-agent app\n\n```bash\nuv run ollama-agent.py\n```\n\n![Simple Ollama Agent](./images/ollama-agent.png)\n\n---\n\n## Finance agent using Yahoo Finance tool\n\n- Run the finance-agent app\n\n```bash\nuv run finance-agent.py\n```\n\n![Finance Agent](./images/finance-agent.png)\n\n---\n\n## Team of Agents\n\nFinance agent works with Search agent to find the analyst recommendation for a company.\n\n```bash\nuv run agent-teams.py\n```\n\n![Team of Agents](./images/agent-teams.png)\n\n---\n\n## Image Agent\n\nReads an image and uses Llama 3.2 vision model to describe the image.\n\nModel used: Llama 3.2 (11B parameter)\n\n![Image Agent](./images/image-agent.png)\n\n---\n\n## Knowledge Agent (WIP)\n\nReads a PDF using PyPDF and uses ChromaDB (a vector database) to store embeddings (using Ollama embedder) and retrieve knowledge based on user queries.\n\nModel used: Llama 3.2 (3B parameter)\n\n---\n\n## License\n\nThis repository is licensed under the [MIT License](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FWebDevCaptain%2Fagno-ai-agents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FWebDevCaptain%2Fagno-ai-agents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FWebDevCaptain%2Fagno-ai-agents/lists"}