{"data":{"node":{"slug":"m7mdhka-pydantic-ai-production-ready-template","name":"pydantic-ai-production-ready-template","tagline":"Production-ready template for building AI applications with Pydantic AI, FastAPI, PostgreSQL, Redis","github_url":"https://github.com/m7mdhka/pydantic-ai-production-ready-template","owner":"m7mdhka","repo":"pydantic-ai-production-ready-template","owner_avatar_url":"https://avatars.githubusercontent.com/u/43252562?v=4","primary_language":"Python","stars":87,"forks":9,"topics":["alembic","asynchronous","ci-cd","commitizen","fastapi","grafana","litellm","llm-evaluation","postgresql","precommit","prometheus","prompt-versioning","pydantic-ai","redis","sqlalchemy","starlette-admin"],"archived":false,"github_pushed_at":"2026-01-20T05:40:49+00:00","maintenance_label":"Slowing","stars_delta_30d":0,"url":"https://www.graphcanon.com/tools/m7mdhka-pydantic-ai-production-ready-template","markdown_url":"https://www.graphcanon.com/tools/m7mdhka-pydantic-ai-production-ready-template.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/m7mdhka-pydantic-ai-production-ready-template","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=m7mdhka-pydantic-ai-production-ready-template"},"categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"alembic","name":"alembic"},{"slug":"asynchronous","name":"asynchronous"},{"slug":"ci-cd","name":"ci-cd"},{"slug":"commitizen","name":"commitizen"},{"slug":"fastapi","name":"fastapi"},{"slug":"grafana","name":"grafana"},{"slug":"litellm","name":"litellm"},{"slug":"llm-evaluation","name":"llm-evaluation"}],"edges":[],"neighbours":[{"slug":"pathwaycom-llm-app","name":"llm-app","tagline":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data","github_url":"https://github.com/pathwaycom/llm-app","owner":"pathwaycom","repo":"llm-app","owner_avatar_url":"https://avatars.githubusercontent.com/u/25750857?v=4","primary_language":"Jupyter Notebook","stars":58920,"forks":1498,"topics":["chatbot","hugging-face","llm","llm-local","llm-prompting","llm-security","llmops","machine-learning","open-ai","pathway","rag","real-time","retrieval-augmented-generation","vector-database","vector-index"],"archived":false,"github_pushed_at":"2026-07-05T17:59:07+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/pathwaycom-llm-app","markdown_url":"https://www.graphcanon.com/tools/pathwaycom-llm-app.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pathwaycom-llm-app","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pathwaycom-llm-app","shared_categories":["evaluation-observability","inference-serving"]},{"slug":"patchy631-ai-engineering-hub","name":"ai-engineering-hub","tagline":"Tutorials on LLMs, RAGs, and real-world AI agent applications","github_url":"https://github.com/patchy631/ai-engineering-hub","owner":"patchy631","repo":"ai-engineering-hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/38653995?v=4","primary_language":"Jupyter Notebook","stars":37020,"forks":6107,"topics":["agents","ai","llms","machine-learning","mcp","rag"],"archived":false,"github_pushed_at":"2026-07-27T18:43:06+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub","markdown_url":"https://www.graphcanon.com/tools/patchy631-ai-engineering-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/patchy631-ai-engineering-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=patchy631-ai-engineering-hub","shared_categories":[]},{"slug":"nirdiamant-agents-towards-production","name":"agents-towards-production","tagline":"End-to-end, code-first tutorials for building production-grade GenAI agents","github_url":"https://github.com/NirDiamant/agents-towards-production","owner":"NirDiamant","repo":"agents-towards-production","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":21298,"forks":2824,"topics":["agent","agent-framework","agentic-ai","agents","ai-agents","deployment","genai","generative-ai","langgraph","llm","llms","mcp","mlops","multi-agent-systems","observability","production","python","rag","tutorials"],"archived":false,"github_pushed_at":"2026-08-15T00:52:10+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-agents-towards-production.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-agents-towards-production","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-agents-towards-production","shared_categories":[]},{"slug":"avaiga-taipy","name":"taipy","tagline":"Turns Data and AI algorithms into production-ready web applications in no time.","github_url":"https://github.com/Avaiga/taipy","owner":"Avaiga","repo":"taipy","owner_avatar_url":"https://avatars.githubusercontent.com/u/86434771?v=4","primary_language":"Python","stars":19435,"forks":1993,"topics":["automation","data-engineering","data-integration","data-ops","data-visualization","datascience","developer-tools","hacktoberfest","hacktoberfest2023","job-scheduler","mlops","orchestration","pipeline","pipelines","python","scenario","scenario-analysis","taipy-core","taipy-gui","workflow"],"archived":false,"github_pushed_at":"2026-08-10T02:47:18+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/avaiga-taipy","markdown_url":"https://www.graphcanon.com/tools/avaiga-taipy.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/avaiga-taipy","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=avaiga-taipy","shared_categories":["developer-tools"]},{"slug":"n8n-io-self-hosted-ai-starter-kit","name":"self-hosted-ai-starter-kit","tagline":"Self-hosted AI Starter Kit template for local AI workflows","github_url":"https://github.com/n8n-io/self-hosted-ai-starter-kit","owner":"n8n-io","repo":"self-hosted-ai-starter-kit","owner_avatar_url":"https://avatars.githubusercontent.com/u/45487711?v=4","primary_language":null,"stars":15258,"forks":3813,"topics":["ai","ai-agents","low-code","self-hosted","starter-kit"],"archived":false,"github_pushed_at":"2026-07-23T11:28:09+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/n8n-io-self-hosted-ai-starter-kit","markdown_url":"https://www.graphcanon.com/tools/n8n-io-self-hosted-ai-starter-kit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/n8n-io-self-hosted-ai-starter-kit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=n8n-io-self-hosted-ai-starter-kit","shared_categories":["developer-tools"]},{"slug":"microsoft-agent-framework","name":"agent-framework","tagline":"Framework for building and deploying AI agents and multi-agent workflows","github_url":"https://github.com/microsoft/agent-framework","owner":"microsoft","repo":"agent-framework","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":13573,"forks":2335,"topics":["agent-framework","agentic-ai","agents","ai","dotnet","multi-agent","orchestration","python","sdk","workflows"],"archived":false,"github_pushed_at":"2026-09-18T02:54:16+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/microsoft-agent-framework","markdown_url":"https://www.graphcanon.com/tools/microsoft-agent-framework.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-agent-framework","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-agent-framework","shared_categories":["developer-tools"]},{"slug":"mage-ai-mage-ai","name":"mage-ai","tagline":"Build, run and manage data pipelines for integrating and transforming data","github_url":"https://github.com/mage-ai/mage-ai","owner":"mage-ai","repo":"mage-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/69371472?v=4","primary_language":"Python","stars":8823,"forks":990,"topics":["artificial-intelligence","data","data-engineering","data-integration","data-pipelines","data-science","dbt","elt","etl","machine-learning","orchestration","pipeline","pipelines","python","reverse-etl","spark","sql","transformation"],"archived":false,"github_pushed_at":"2026-09-11T19:20:35+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/mage-ai-mage-ai","markdown_url":"https://www.graphcanon.com/tools/mage-ai-mage-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mage-ai-mage-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mage-ai-mage-ai","shared_categories":[]},{"slug":"googlecloudplatform-agent-starter-pack","name":"agent-starter-pack","tagline":"Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability","github_url":"https://github.com/GoogleCloudPlatform/agent-starter-pack","owner":"GoogleCloudPlatform","repo":"agent-starter-pack","owner_avatar_url":"https://avatars.githubusercontent.com/u/2810941?v=4","primary_language":"Python","stars":6558,"forks":1500,"topics":["agents","gcp","gemini","genai-agents","generative-ai","llmops","mlops","observability"],"archived":false,"github_pushed_at":"2026-07-21T23:42:40+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/googlecloudplatform-agent-starter-pack","markdown_url":"https://www.graphcanon.com/tools/googlecloudplatform-agent-starter-pack.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/googlecloudplatform-agent-starter-pack","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=googlecloudplatform-agent-starter-pack","shared_categories":["evaluation-observability"]},{"slug":"tensorchord-awesome-llmops","name":"Awesome-LLMOps","tagline":"An awesome & curated list of best LLMOps tools for developers","github_url":"https://github.com/tensorchord/Awesome-LLMOps","owner":"tensorchord","repo":"Awesome-LLMOps","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Shell","stars":5941,"forks":1058,"topics":["ai-development-tools","awesome-list","llmops","mlops"],"archived":false,"github_pushed_at":"2026-05-21T09:12:50+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops","markdown_url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-awesome-llmops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-awesome-llmops","shared_categories":["evaluation-observability","inference-serving"]},{"slug":"a16z-infra-ai-getting-started","name":"ai-getting-started","tagline":"A Javascript AI getting started stack for weekend projects","github_url":"https://github.com/a16z-infra/ai-getting-started","owner":"a16z-infra","repo":"ai-getting-started","owner_avatar_url":"https://avatars.githubusercontent.com/u/130202746?v=4","primary_language":"TypeScript","stars":4142,"forks":659,"topics":[],"archived":false,"github_pushed_at":"2024-08-21T12:35:18+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/a16z-infra-ai-getting-started","markdown_url":"https://www.graphcanon.com/tools/a16z-infra-ai-getting-started.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/a16z-infra-ai-getting-started","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=a16z-infra-ai-getting-started","shared_categories":["developer-tools"]},{"slug":"nyldn-claude-octopus","name":"claude-octopus","tagline":"Surface AI blindspots before you ship","github_url":"https://github.com/nyldn/claude-octopus","owner":"nyldn","repo":"claude-octopus","owner_avatar_url":"https://avatars.githubusercontent.com/u/4805949?v=4","primary_language":"Shell","stars":4090,"forks":378,"topics":["ai-agents","ai-orchestration","claude-code","claude-code-plugin","codex","copilot","developer-tools","double-diamond","gemini","multi-ai","multi-llm","ollama"],"archived":false,"github_pushed_at":"2026-09-20T05:07:44+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/nyldn-claude-octopus","markdown_url":"https://www.graphcanon.com/tools/nyldn-claude-octopus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nyldn-claude-octopus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nyldn-claude-octopus","shared_categories":["developer-tools"]},{"slug":"antoinezambelli-forge","name":"forge","tagline":"A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows","github_url":"https://github.com/antoinezambelli/forge","owner":"antoinezambelli","repo":"forge","owner_avatar_url":"https://avatars.githubusercontent.com/u/2261593?v=4","primary_language":"Python","stars":2248,"forks":173,"topics":["agentic-ai","agentic-workflow","agents","function-calling","llama-cpp","llamafile","llm","ollama","python","self-hosted","tool-calling"],"archived":false,"github_pushed_at":"2026-09-01T01:05:25+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/antoinezambelli-forge","markdown_url":"https://www.graphcanon.com/tools/antoinezambelli-forge.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/antoinezambelli-forge","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=antoinezambelli-forge","shared_categories":[]}]}}