# performance

Apple's Safari-native MCP server for web debugging agents

Safari MCP Server is Apple's safaridriver-based MCP server in Safari Technology Preview, giving compatible coding agents local access to Safari page content, console logs, network requests, screenshots, JavaScript evaluation, interactions, viewport controls, and accessibility/performance checks.

Blazing-fast PHP linter, formatter, and static analyzer in Rust

Mago is a comprehensive PHP toolchain written in Rust that unifies linting, formatting, and static analysis into a single binary. It enforces PER-CS formatting standards, catches code smells with 100+ lint rules, and performs deep type inference for semantic analysis. Inspired by Clippy and OXC from the Rust ecosystem, it delivers performance orders of magnitude faster than PHPStan and Psalm while requiring no PHP runtime to execute.

Kotlin-native AI agent framework by JetBrains with MCP support

Koog is JetBrains official Kotlin-native framework for building predictable, fault-tolerant AI agents. It provides structured agent workflows with MCP protocol support, type-safe tool definitions, and deterministic execution patterns designed for JVM production environments. As the first production-grade Kotlin agent framework, it fills the gap in a JVM ecosystem dominated by Python-based alternatives and integrates naturally with existing Kotlin and Java backend infrastructure.

Production RAG engine with hybrid search and knowledge graphs

R2R is a production-grade RAG engine from SciPhi AI that combines hybrid search with knowledge graph extraction and agentic retrieval capabilities. It provides a complete pipeline from document ingestion through retrieval and generation, supporting vector, keyword, and graph-based search strategies. The managed API and self-hosted options make it accessible for both rapid prototyping and production deployments requiring advanced retrieval beyond simple vector similarity.

CLI tool to convert codebases into LLM-ready prompts

code2prompt is a Rust CLI that converts entire codebases into structured prompts optimized for LLM context windows. It intelligently filters files using gitignore patterns, respects token budgets, generates directory tree visualizations, and supports custom Handlebars templates for output formatting. The tool addresses the core challenge of feeding large codebases to AI coding assistants by producing clean, organized context that maximizes the value of limited token budgets.

RAG-based document QA with multi-user support and agent reasoning

Kotaemon is an open-source RAG-powered document question-answering interface backed by Cinnamon AI. It supports multi-user workspaces with access controls, advanced retrieval pipelines including hybrid search and knowledge graph extraction, and agentic reasoning for complex multi-step queries. The web UI handles PDFs, Office documents, and images with citations pointing to exact source passages, making it suitable for both individual research and team knowledge management.

Kubernetes-native framework for DevOps AI agents

kagent is a Kubernetes-native AI agent framework developed at Solo.io and accepted into the CNCF sandbox. It provides a structured environment for running DevOps-focused agents directly within Kubernetes clusters, with a dedicated kmcp toolkit for cloud-native operations. Unlike general-purpose agent frameworks, kagent targets platform engineers and SREs who need AI assistance with cluster management, troubleshooting, and infrastructure automation workflows.

Self-hosted UI and API for Ansible, Terraform, and scripts

Semaphore UI provides a web interface and REST API for running Ansible playbooks, Terraform and OpenTofu configurations, Bash scripts, and PowerShell commands from a centralized self-hosted platform. With over 13,000 GitHub stars and 2 million Docker pulls, it replaces AWX and manual terminal execution with a polished dashboard for scheduling, access control, notifications, and execution history across mixed infrastructure automation environments.

Git-native AI agent session capture and reasoning traceability

Checkpoints by Entire captures the full reasoning context behind AI-generated code directly in Git. Entire records transcripts, prompts, files touched, token usage, and tool calls alongside every commit. Session metadata lives on a separate branch keeping your history clean, with rewind capabilities to restore any previous agent checkpoint when things go sideways.

Self-hosted collaborative wiki and documentation platform

Docmost is an open-source collaborative wiki offering real-time editing, spaces with granular permissions, page history, and rich diagram support via Draw.io, Excalidraw, and Mermaid. Designed as a self-hosted Confluence and Notion alternative for teams needing data sovereignty, it provides nested pages, comments, and full-text search. Over 19,700 GitHub stars and 52 releases demonstrate strong community adoption.

Elasticsearch-quality full-text and hybrid search inside Postgres

ParadeDB brings Elasticsearch-quality full-text search, BM25 ranking, and hybrid vector-keyword search directly into PostgreSQL as native extensions. Backed by a 12 million dollar Series A with over 500,000 Docker deployments, it eliminates the overhead of running separate search infrastructure. Teams get powerful search within their existing Postgres stack without managing additional clusters.

IaC orchestration layer for scaling Terraform and OpenTofu

Terragrunt is an infrastructure-as-code orchestration tool that wraps Terraform and OpenTofu to keep configurations DRY, manage remote state, and coordinate multi-module deployments. The 1.0 release introduced stacks, filters, run reports, and backward compatibility guarantees after 900+ releases and tens of millions of infrastructure deployments. It provides a thin orchestration layer that eliminates duplication across environments without replacing the underlying IaC tools.

Kanban board with isolated workspaces for AI coding agents

Vibe Kanban bridges project management and AI coding agents by providing kanban-style issue tracking with dedicated workspaces where agents like Claude Code, Codex, and Gemini CLI execute tasks. Each workspace gets its own Git branch, terminal, dev server, and preview environment through Git Worktrees isolation. Developers can review diffs, leave inline comments, and manage 10+ parallel coding sessions from a single Rust-powered interface with a local-first SQLite architecture.

Browser automation CLI built for AI agents by Vercel Labs

Agent Browser is a Rust-based browser automation CLI designed specifically for AI agent workflows rather than traditional testing. Developed by Vercel Labs, it provides semantic element selection through a refs system, accessibility tree snapshots, session persistence, and authentication vaults. Unlike Playwright or Puppeteer which target test automation, Agent Browser optimizes for token efficiency and deterministic element selection that gives LLMs reliable browser interaction capabilities.

Open-source general AI agent framework from the MetaGPT team

OpenManus is an open-source framework for building general-purpose AI agents, developed by core contributors from the MetaGPT community. It provides a modular architecture with planning agents, reactive agents, and tool-calling agents that can execute code, browse the web, search for information, and handle files. Built as the open alternative to Manus AI, it gained over 55,000 GitHub stars and supports multi-agent collaboration with real-time execution feedback.

Agent harness performance system with 30+ agents and 136 skills

Everything Claude Code is a comprehensive agent harness performance optimization system providing 30 specialized agents, 136 skills, 60 commands, and automated hook workflows for AI-assisted development. Born from an Anthropic hackathon winner and evolved over 10+ months of intensive daily use, it works across Claude Code, Codex, Cursor, and OpenCode with built-in security scanning via AgentShield, continuous learning, and research-first development patterns.

Virtual engineering team as Claude Code skills by YC CEO Garry Tan

GStack transforms Claude Code into a structured virtual engineering team through 23 opinionated slash command skills created by Y Combinator CEO Garry Tan. It assigns specialist roles including CEO product review, engineering manager architecture oversight, designer visual audit, QA lead with real browser testing, and release engineer deployment. Each skill enforces focused workflows with clear decision principles for running parallel coding sessions.

Financial transactions database designed for mission-critical safety and speed

TigerBeetle is a purpose-built database for financial transactions that prioritizes safety and performance above all else. Written in Zig, it provides strict debit-credit consistency, serializable isolation, append-only immutability, and multi-cloud high availability. Designed for ledgers, payment systems, and any application where losing or duplicating a transaction is catastrophic.

CLI tool for running and testing HTTP requests from plain text files

Hurl is a command-line tool that runs HTTP requests defined in simple plain text files with built-in assertions for testing. It supports GET, POST, PUT, GraphQL, multipart, cookies, authentication, and response validation with JSONPath, XPath, and regex. Chain multiple requests with variable capture between steps. 17,000+ GitHub stars, Apache 2.0 license, written in Rust for speed. Ideal for API testing in CI/CD pipelines as a lightweight alternative to Postman collections.

Open-source, local-first Notion alternative with built-in AI

AppFlowy is an open-source workspace platform offering documents, wikis, databases, and project management as a privacy-first alternative to Notion. Built with Rust and Flutter for native performance, it runs fully offline with local data storage by default. AI features include writing assistance, summarization, and translation powered by configurable LLM providers. 72.5K+ GitHub stars, backed by a growing contributor community with self-hosted and cloud deployment options.

Real-time ETL and RAG engine with Python API and Rust core

Pathway is an open-source Python ETL framework with a high-performance Rust engine for stream processing, real-time analytics, and RAG pipelines. It handles both batch and streaming data in a unified API, enabling live-updating vector indexes, real-time document processing, and AI agent memory that refreshes as new data arrives. 63,000+ GitHub stars, used for production RAG systems where static vector databases create stale context. Apache 2.0 licensed with enterprise cloud options.

AI-native Git client with virtual branches and smart commits

GitButler is a source-available Git client for virtual/stacked branches, AI-assisted workflows, and intelligent conflict resolution. Co-founded by Scott Chacon, it helps developers organize commits and work on multiple changes simultaneously. 21K+ GitHub stars; FSL-1.1-MIT license model.

Embedded vector database for multimodal AI with petabyte scale

LanceDB is an open-source embedded vector database built on the Lance columnar format for multimodal AI. It delivers near in-memory performance from disk with zero-copy architecture, supporting vector search, full-text search, and SQL. Native SDKs for Python, TypeScript, and Rust integrate with LangChain, LlamaIndex, and DuckDB. Backed by a $30M Series A, used by Harvey AI and Runway, with 18,000+ GitHub stars.

24/7 local screen & audio recording for AI agents

Screenpipe is an open-source Rust platform that records your screen and microphone 24/7 locally, then lets AI agents automate tasks based on what you've done. It uses event-driven capture with OS accessibility trees for efficient text extraction, stores everything in local SQLite, and exposes a REST API plus MCP server for AI integration with Claude, Cursor, and Ollama.