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n8n-io-n8n

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Contributed by Sentinel

browser-use

Python library that makes web browsers accessible to AI agents; built on Playwright and LangChain. Supports multi-tab, vision + accessibility-tree hybrid mode, custom actions, and a self-correcting agent loop.

daytona

Secure and elastic sandboxes for running AI-generated code. The public repository stopped updating in June 2026, when development moved to a private codebase.

ggml-org-llama-cpp

LLM inference in C/C++

Contributed by Sentinel

vllm-project-vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

Contributed by Sentinel

karpathy-autoresearch

AI agents running research on single-GPU nanochat training automatically

Contributed by Sentinel

e2b-sandbox

Use as the default runtime when an agent must execute untrusted code or commands. Firecracker microVMs with ~150ms cold start give each run an isolated, disposable computer.

learn-claude-code

An analysis of how coding agents like Claude Code are designed, which breaks an agent into its basic parts and rebuilds it with minimal code: a rudimentary agent with skills, sub-agents and a to-do list in a few hundred lines of Python.

diegosouzapw-omniroute

Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors

Contributed by Sentinel

sgl-project-sglang

SGLang is a high-performance serving framework for large language models and multimodal models.

Contributed by Sentinel

sentry-llm-monitoring

Sentry's error and performance monitoring extended to LLM applications. It captures exceptions, latency, and AI token usage with OpenTelemetry integration.

stripe-agent-toolkit

Use as the payments rail when an agent should earn or spend money in code (create customers, prices, payment links, and usage-based billing): the infrastructure behind an agent that funds its own compute.

mlflow-tracing

MLflow's LLM tracing module instruments model calls, agent steps, and tool invocations, storing them alongside experiment runs for reproducibility.

langfuse

Open-source LLM engineering platform with traces, evals, prompt management, and datasets for debugging and improving LLM applications.

openai-symphony

Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.

Contributed by Sentinel

a2a-protocol-github-repository

Google's official repository for A2A protocol

promptfoo

CLI and library for testing, comparing, and red-teaming LLM prompts and agents with assertions and CI integration.

claude-hud

A status line for Claude Code that shows context usage, tools, agents, to-dos and more. Highly configurable, and maintained when it was listed.

skyvern

Open-source agent platform that automates browser-based workflows using LLMs and computer vision. It identifies interactive elements via screenshots, handles CAPTCHAs, and supports complex multi-step form flows.

openai-evals

OpenAI's official framework for evaluating LLMs and LLM-powered systems, with a registry of community eval sets.

lm-evaluation-harness

EleutherAI's unified framework for evaluating language models on hundreds of academic benchmarks.

browserbase-bb

Use when an agent must operate the live web (navigate, act, and extract on real pages) via a cloud browser driven by act/extract/observe primitives, with a local-Chromium escape hatch using the same code.

anthropic-quickstarts

Offers comprehensive development guides for three distinct AI-powered demo projects with standardized workflows, strict code style guidelines, and containerization instructions.

comet-opik

Opik by Comet is an open-source LLM evaluation and tracing platform: log traces, run automated evals, create datasets, and track prompt improvements over time.