VectorInstitute/inspect-mlflow
MLflow integration for Inspect AI evals: log runs, metrics, artifacts, and traces.
GitHub repository with 9 stars and 0 forks.
Language: Python
Topics: evals, mlflow
MLflow integration for Inspect AI evals: log runs, metrics, artifacts, and traces.
GitHub repository with 9 stars and 0 forks.
Language: Python
Topics: evals, mlflow
2026-06-05: 9 stars and 0 forks.
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
GitHub repository with 1,101 stars and 228 forks.
Trending score: 2.95; stars gained: +27; forks gained: +5.
Language: Python
Topics: ai, ai-gateway, evals, llm, observability, simulation
Harbor is a framework for running agent evaluations and creating and using RL environments.
GitHub repository with 2,298 stars and 1,108 forks.
Trending score: 1.37; stars gained: +26; forks gained: +4.
Language: Python
Topics: evals, rl-environments, terminal-bench
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
GitHub repository with 4,863 stars and 368 forks.
Trending score: 0.83; stars gained: +4; forks gained: +0.
Language: Python
Topics: ai, chain-of-thought, collaboration, dataset-generation, fine-tuning, machine-learning
Run Inspect AI evals in the cloud
GitHub repository with 22 stars and 19 forks.
Trending score: 0.51; stars gained: +0; forks gained: +1.
Language: Python
Topics: aws, evals, inspect-ai, llm
Open-source observability and trust layer for AI agents: trace every step, score every output, catch hallucinations and runaway loops in real time. Self-hostable.
GitHub repository with 6 stars and 0 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-agents, evals, fastapi, guardrails, hallucination-detection, llm
The agent that grows with you
GitHub repository with 181,138 stars and 31,078 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 12,594 stars and 817 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,254 stars and 2,241 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
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
GitHub repository with 140,059 stars and 20,110 forks.
Trending score: 5.04; stars gained: +317; forks gained: +58.
Language: Python
Topics: ollama, ollama-webui, llm, webui, self-hosted, llm-ui
LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.
GitHub repository with 40,774 stars and 38,952 forks.
Trending score: 4.88; stars gained: +836; forks gained: +443.
Language: Python
Topics: a-stock, ai-agent, aigc, llm, quant, quantitative-finance
GitHub repository with 29,960 stars and 4,217 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
GitHub repository with 24,774 stars and 2,198 forks.
Trending score: 3.40; stars gained: +98; forks gained: +12.
Language: TypeScript
Topics: agents, ai, chatbots, evals, javascript, llm
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
GitHub repository with 1,101 stars and 228 forks.
Trending score: 2.95; stars gained: +27; forks gained: +5.
Language: Python
Topics: ai, ai-gateway, evals, llm, observability, simulation
Harbor is a framework for running agent evaluations and creating and using RL environments.
GitHub repository with 2,298 stars and 1,108 forks.
Trending score: 1.37; stars gained: +26; forks gained: +4.
Language: Python
Topics: evals, rl-environments, terminal-bench
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
GitHub repository with 4,863 stars and 368 forks.
Trending score: 0.83; stars gained: +4; forks gained: +0.
Language: Python
Topics: ai, chain-of-thought, collaboration, dataset-generation, fine-tuning, machine-learning
Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
GitHub repository with 1,990 stars and 234 forks.
Trending score: 0.76; stars gained: +5; forks gained: +1.
Language: TypeScript
Topics: anthropic, chatgpt, cicd, debugger, evals, evaluation
Composable pi coding agent with MCP, LSP, agent chains, prompt presets, and local eval telemetry
GitHub repository with 40 stars and 10 forks.
Trending score: 0.61; stars gained: +3; forks gained: +1.
Language: TypeScript
Topics: cli, coding-agent, llm, mcp, pi, typescript