arporter/habakkuk
Fortran code analysis for performance prediction
GitHub repository with 11 stars and 0 forks.
Language: Python
Topics: dag, fortran, performance-analysis, performance-prediction, parsing, hpc
Fortran code analysis for performance prediction
GitHub repository with 11 stars and 0 forks.
Language: Python
Topics: dag, fortran, performance-analysis, performance-prediction, parsing, hpc
2026-06-05: 11 stars and 0 forks.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
GitHub repository with 21,317 stars and 1,126 forks.
Trending score: 2.54; stars gained: +20; forks gained: +7.
Language: Python
Topics: artificial-intelligence, dag, data-science, data-visualization, dataflow, developer-tools
Step-by-step causal inference — method selection, assumptions, and robustness checks
GitHub repository with 28 stars and 3 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, business-intelligence, causal-inference, causal-reasoning, causality-analysis, dag
Complete ETCLOVG framework for AI Agent workflows - DAG+FSM orchestration, Ebbinghaus memory, discipline routing, skill evolution, trace system, governance. 80+ tests, zero deps, 7/7 layers.
GitHub repository with 130 stars and 7 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: agent-harness, ai-agent, cognitive-memory, dag, etclovg, forgetting-curve
🧬 Symbio(共生)- AI Infra 级多 Agent 协同框架 | 33 Killer Features: 动态 DAG, 本体化记忆, 防过早完成, 数据飞轮, 神经符号安全, OpenTelemetry 可观测, HITL 人类介入, MCP 原生支持, 语义缓存, PromptOps, 边缘计算, 隐私计算 | Next-Gen AI Infrastructure for Multi-Agent Orchestration
GitHub repository with 5 stars and 0 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: agent, ai, ai-infra, claude, dag, llm
The agent that grows with you
GitHub repository with 182,511 stars and 31,295 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 301,435 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
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
GitHub repository with 21,317 stars and 1,126 forks.
Trending score: 2.54; stars gained: +20; forks gained: +7.
Language: Python
Topics: artificial-intelligence, dag, data-science, data-visualization, dataflow, developer-tools
SeaTunnel Web is a visual tool for building and watching over your Apache SeaTunnel data pipelines, with drag-and-drop DAGs and simple connector setup.
GitHub repository with 290 stars and 30 forks.
Trending score: 1.85; stars gained: +57; forks gained: +5.
Language: TypeScript
Topics: batch, dag, data-engineering, data-integration, data-pipeline, etl
deepseek标配coding agent、原生支持模型路由、CodeGraph代码图谱、OCR截图识别、自动上下文压缩、最佳工作模式选择等功能,从根本上节省Token,已支持小米MiMo
GitHub repository with 130 stars and 10 forks.
Trending score: 1.70; stars gained: +5; forks gained: +0.
Language: Go
Topics: agent, codegraph, coding-agent, dag, deepseek, deepseek-tui
A scalable inference server for models optimized with OpenVINO™
GitHub repository with 883 stars and 253 forks.
Trending score: 0.60; stars gained: +3; forks gained: +0.
Language: C++
Topics: ai, cloud, dag, deep-learning, edge, genai
Step-by-step causal inference — method selection, assumptions, and robustness checks
GitHub repository with 28 stars and 3 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, business-intelligence, causal-inference, causal-reasoning, causality-analysis, dag
Multi-Model Collaboration Pipeline — orchestrate AI models as a DAG. RL routing, multi-verifier voting, agent mesh, self-improving. Works with OpenAI, Anthropic, Gemini, DeepSeek. npm install mmcp-core | pip install mmcp-core
GitHub repository with 32 stars and 0 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: TypeScript
Topics: agent-coordination, ai, ai-agents, anthropic, cli, context-protocol