🐢 Open-Source Evaluation & Testing library for LLM Agents
GitHub repository with 5,418 stars and 468 forks.
Language: Python
Topics: mlops, ml-validation, ml-testing, ai-testing, llmops, responsible-ai, fairness-ai, trustworthy-ai, llm-eval, llm-evaluation
2026-06-05: 5,418 stars and 468 forks.
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
GitHub repository with 789 stars and 114 forks.
Trending score: 1.29; stars gained: +22; forks gained: +8.
Language: Python
Topics: ai-infrastructure, curriculum, gpu, intermediate, kubernetes, learning
Open-source platform layer for AI agents in production
GitHub repository with 182 stars and 12 forks.
Trending score: 1.14; stars gained: +2; forks gained: +1.
Language: Python
Topics: agent-framework, ai-agents, checkpoints, durable-execution, llm, mcp
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
GitHub repository with 12,347 stars and 811 forks.
Trending score: 0.60; stars gained: +3; forks gained: +1.
Language: Python
Topics: bentoml, fine-tuning, llama, llama2, llama3-1, llama3-2
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
GitHub repository with 6,460 stars and 1,485 forks.
Trending score: 0.60; stars gained: +3; forks gained: +0.
Language: Python
Topics: agents, gcp, gemini, genai-agents, generative-ai, llmops
Build, Manage and Deploy AI/ML Systems
GitHub repository with 10,114 stars and 1,287 forks.
Trending score: 0.49; stars gained: +0; forks gained: +0.
Language: Python
Topics: agents, ai, aws, azure, cost-optimization, datascience
A personal research and development (R&D) lab that facilitates the sharing of knowledge.
GitHub repository with 297 stars and 50 forks.
Trending score: 0.45; stars gained: +1; forks gained: +0.
Language: Python
Topics: aerospace, autonomy, cloud-native, computational-fluid-dynamics, computer-vision, distributed-tracing
The agent that grows with you
GitHub repository with 182,353 stars and 31,271 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 14,053 stars and 885 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,616 stars and 2,272 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
Learn it. Build it. Ship it for others.
GitHub repository with 28,711 stars and 4,695 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,433 stars and 28,046 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, collections, python, python-frameworks, python-libraries, python-tools
Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
GitHub repository with 32,540 stars and 4,942 forks.
Trending score: 4.56; stars gained: +467; forks gained: +82.
Language: Python
Community maintained hardware plugin for vLLM on Ascend
GitHub repository with 2,201 stars and 1,350 forks.
Trending score: 3.25; stars gained: +16; forks gained: +22.
Language: C++
Topics: ascend, inference, llm, llm-serving, llmops, mlops
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
GitHub repository with 7,067 stars and 825 forks.
Trending score: 1.34; stars gained: +4; forks gained: +0.
Language: Go
Topics: agentic, ai-agents, ai-development-tools, data-analysis, data-science, declarative
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
GitHub repository with 789 stars and 114 forks.
Trending score: 1.29; stars gained: +22; forks gained: +8.
Language: Python
Topics: ai-infrastructure, curriculum, gpu, intermediate, kubernetes, learning
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
GitHub repository with 16,277 stars and 1,306 forks.
Trending score: 1.26; stars gained: +9; forks gained: +0.
Language: Go
Topics: search-engine, semantic-search, semantic-search-engine, vector-search, vector-search-engine, vector-database
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
GitHub repository with 20,617 stars and 2,739 forks.
Trending score: 1.16; stars gained: +15; forks gained: +1.
Language: Jupyter Notebook
Topics: agent, agent-framework, agentic-ai, agents, ai-agents, deployment
Open-source platform layer for AI agents in production
GitHub repository with 182 stars and 12 forks.
Trending score: 1.14; stars gained: +2; forks gained: +1.
Language: Python
Topics: agent-framework, ai-agents, checkpoints, durable-execution, llm, mcp