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The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

An agentic extractor for messaging platforms. Noria receives messages & URLs via chat; scrapes web data to evaluate the content against custom scoring matrices (e.g., jobs, scholarships); and sends a structured summary with a calculated match score directly to the assigned messenger number.

Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets.

A Clojure network REPL that provides a server and client, along with some common APIs of use to IDEs and other tools that may need to evaluate Clojure code in remote environments.

Provides an engine that can compile and evaluate expressions

This repository can be used to generate and evaluate findings detected by Amazon GuardDuty

Library to parse and evaluate achievements and leaderboards for RetroAchievements

Plug IaC governance into any IaC pipeline. Evaluate plans with Tirith, protect sensitive values, enforce centralised policies, and surface actionable results before infrastructure changes are applied.

Know when installed obsidian plugins have updates and evaluate the risk of upgrading

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

The fastest embeddable spreadsheet engine - parse, evaluate & mutate Excel workbooks from Rust, Python, or the browser. Arrow-powered, 400+ functions.

Gateway API Benchmarks provides a common set of tests to evaluate a Gateway API implementation.

Author, generate, validate and govern AI agent rules, skills, plugins and MCP configuration across 52 coding assistants. Review with verified model evidence, evaluate skills, lock and sign dependencies, and publish bundles. CLI, MCP server and Go API.

AI agent to evaluate and score resumes.

Evaluate and improve models and agents using environments

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

中国科学院大学（国科大）课程评价工具懒人版，手把手教你一键搞定课评，不会用你来打我！

GitHub Quick Review: Evaluate your enterprise and organizations against GitHub best practices

Ultimate browser automation toolkit for AI agents. Zero MCP token tax, JS evaluate, vision-click with DPR correction.

One framework to evaluate any VLA model on any robot simulation benchmark.

This repository contains the code to train and evaluate TRIBE v2, a multimodal model for brain response prediction