# Open Source

All-in-one open-source observability — logs, metrics, traces, RUM

OpenObserve is an open-source observability platform that unifies logs, metrics, traces, and real user monitoring in a single binary. It claims 140x lower storage costs than Elasticsearch through columnar storage and compression, with native OpenTelemetry support, a built-in query UI, dashboards, and alerts. Designed for AI and cloud-native workloads at petabyte scale. Over 15,000 GitHub stars.

Open-source no-code automation platform, self-hosted Zapier alternative

Activepieces is an open-source business automation platform and self-hostable Zapier/Make alternative. It offers a visual flow builder, TypeScript code steps, AI-native blocks, and MCP-oriented pieces for services such as Gmail, Slack, Notion, and OpenAI. With 23,000+ GitHub stars, Docker deployment, and core/open MIT Expat licensing plus separately licensed enterprise directories, it suits teams seeking data sovereignty and familiar no-code workflow automation.

Self-hosted proxy API for routing AI CLI accounts into OpenAI-compatible endpoints

CLIProxyAPI is an open-source Go proxy server that wraps Gemini CLI, Claude Code, OpenAI Codex, Grok Build, and related CLI account flows behind OpenAI/Gemini/Claude-compatible API endpoints. Use it carefully: it can touch OAuth sessions, auth files, logs, and provider account policies, so production use needs credential and ToS review.

Open-source toolkit for building AI SRE incident response agents

OpenSRE is Tracer Cloud’s open-source public-alpha Python toolkit for building AI SRE agents that investigate and respond to production incidents. It ships 60+ tools across observability, databases, incident management, communications, deployment and protocol integrations, plus simulation/evaluation workflows for benchmarking agent accuracy before live pager use.

AI-powered code review and refactoring assistant

Automated code reviewer that integrates with GitHub PRs. Detects code quality issues, suggests refactoring, and auto-generates reviews. Python specialist with growing JS/TS support and 1.8k+ GitHub stars. Enforces team coding standards consistently and helps developers learn best practices through inline suggestions on every pull request.

Prompt-to-React UI with HeroUI components

HeroUI Chat turns prompts or screenshots into production-ready React code using the HeroUI open-source component library, now 29K+ GitHub stars. It generates responsive React/Tailwind interfaces on top of maintained HeroUI components rather than one-off markup, making it useful for rapid prototyping and UI scaffolding when your stack already standardizes on HeroUI.

Open-source API client

Hoppscotch is a free, open-source API development ecosystem for building, testing, documenting, and collaborating on APIs through a lightweight, fast web-based interface. It supports REST, GraphQL, WebSocket, MQTT, SSE, and Socket.IO protocols across web, desktop, and CLI clients. With 79K+ GitHub stars, 2.5M+ users, and 5M+ monthly API requests, Hoppscotch has become a leading open-source alternative to Postman for developers who prioritize speed, simplicity, and self-hostable workflows.

Open-source AI code review with hybrid AST-LLM

Kodus is an open-source AI code review platform that combines AST analysis with LLM reasoning to reduce noisy comments. Kody learns team standards, supports GitHub, GitLab, Bitbucket, and Azure DevOps, is model-agnostic across Claude, GPT, Gemini, Llama and OpenAI-compatible endpoints, and offers free/community, $10/dev monthly or $8/dev annual Teams, and Enterprise options.

Local microVM sandboxes for AI agent code execution

Microsandbox provides hardware-level isolated sandboxes for AI agents to execute code safely on local machines. Using libkrun microVMs and a 320ms bare-metal Linux/KVM homepage benchmark, it offers stronger isolation than Docker containers while staying lightweight enough for dev workstations. OCI-compatible with Python and Node.js runtimes. Apache-2.0 licensed with 6.6K+ GitHub stars.

Open-source codeless test automation with NLP-based test creation

Testsigma is an open-source codeless test automation platform where tests are written in plain English using NLP-based interpretation. It supports web, mobile, and API testing with self-healing test maintenance that adapts to UI changes automatically. Apache 2.0 licensed Community Edition is free with full functionality. Cloud edition adds parallel execution, integrations, and team management. Active development with regular releases through 2026.

OpenTelemetry-based observability SDK for LLM applications

Traceloop is an LLM reliability platform built around OpenLLMetry, an Apache-2.0 OpenTelemetry instrumentation layer for GenAI applications. It traces calls across OpenAI, Anthropic, vector databases, LangChain, LlamaIndex, and other frameworks, then sends data to OTel-compatible backends or Traceloop Cloud. Current positioning adds monitoring, evaluation dashboards, CI/CD integration, prompt management, and enterprise/on-prem options.

AI test generation from production traffic

Tusk is a Y Combinator W24-backed AI testing platform that converts real production traffic into unit and API tests, catching regressions in 43% of PRs. Its Drift SDK records live API traces with just 10 lines of code, then AI generates executable test cases covering thousands of edge cases from actual user behavior, auto-maintaining suites as application logic evolves without manual script writing.

Open-source RAG-based text-to-SQL engine

Vanna AI is an MIT-licensed text-to-SQL and SQL-agent framework with 23.6K+ GitHub stars. Its current Vanna 2.0 story adds user-aware agents, access control, audit logs, streaming UI components, and optional hosted admin features for teams that need natural-language database access without locking into one LLM or database. The original repo is now archived, so verify the current Vanna 2.0 path before adoption.

Security scanner for AI model files

ModelScan by Protect AI is an open-source tool that scans machine learning model files for malicious or unsafe code before they are loaded into production. Supporting formats like Pickle, HDF5, and SavedModel, it detects hidden code execution, deserialization attacks, and supply chain threats in the AI/ML model artifact pipeline, integrating into CI/CD as a critical security gate.

AI-native security for coding agents

Corridor is an AI-native security platform that intercepts vulnerabilities at the code generation layer, providing real-time guardrails and automated PR security reviews for teams using AI coding agents like Cursor, Claude Code, and GitHub Copilot. Founded by former CISA Secure by Design lead Jack Cable and backed by $25M Series A from Felicis at a $200M valuation, Corridor embeds proactive security context into developer workflows via MCP server integration.

Natural language interface for running code on your computer

Open Interpreter is an open-source natural-language interface for computers. It runs Python, JavaScript, shell commands, and other code locally through a ChatGPT-like terminal workflow, with user approval before execution. It can use hosted providers or local models, but its main tradeoff is safety: approved commands can access local files, apps, and system resources.

MCP server for connecting AI assistants to Supabase projects

Supabase MCP is Supabase's Apache-2.0 server for connecting AI assistants to Supabase projects. It can expose database, configuration, and project-management workflows to MCP clients such as Cursor, Claude, and Windsurf, while the official docs emphasize permission and security review before production use, SQL changes, or high-privilege database access.

JetBrains-first AI coding assistant with next-edit autocomplete and an open-weight 1.5B model

Sweep is a JetBrains-first AI coding assistant that pairs a next-edit autocomplete engine with an in-IDE coding agent. Autocomplete watches recent edits to predict where you'll change code next; tab jumps between proposed locations to compress multi-file refactors. The agent stages multi-file diffs inside the IDE. A 1.5B open-weight next-edit model shipped in February 2026. VS Code and Zed users currently get autocomplete only.

Browser automation framework

The original browser automation framework with multi-language support for Java, Python, JavaScript, and C#. Drives end-to-end testing across all major browsers via the WebDriver protocol. Despite newer alternatives, Selenium remains the industry standard for large-scale automated browser testing, with the largest community and most extensive tooling ecosystem.

Prompt fuzzing tool for LLM security testing

ps-fuzz by Prompt Security is a security testing tool with 680+ GitHub stars that fuzzes system prompts against dynamic LLM-based attack scenarios including jailbreaks, prompt injection, and data extraction attempts. It helps developers harden their GenAI applications by simulating adversarial attacks in a controlled environment, turning LLM security into a testable and reproducible quality gate.

Desktop orchestrator for parallel AI coding agents

1Code is an open-source desktop application for running multiple AI coding agents in parallel with isolated git worktrees and browser previews. It orchestrates agents like Claude Code and Codex in separate sandboxed environments, preventing conflicts while enabling concurrent development on different features. Built by the 21st.dev team with 5,300+ GitHub stars.

Modern open-source server management panel

1Panel is a modern open-source Linux server management panel built with Go that provides a clean web interface for managing websites, databases, containers, and system resources. It features a marketplace with 165+ one-click app installs including Nextcloud and Bitwarden, automatic SSL provisioning with Let's Encrypt, visual Docker container management, and built-in firewall configuration. 1Panel also supports native AI agent deployment through Ollama integration.

npm for design engineers — shadcn/ui component marketplace

21st.dev is the largest open-source marketplace of shadcn/ui-based React Tailwind components, blocks, and hooks. Used by 1.4M developers with 200K monthly active users. Functions as an MCP server enabling AI coding agents to discover and compose UI components via API. Features a Magic AI feature that generates components from natural language prompts. All components installable with npx shadcn.

Next-gen multi-agent framework (AutoGen fork)

AG2 (formerly AutoGen) is an open-source multi-agent AI framework that emerged as a community-driven fork of Microsoft AutoGen, founded by original creators Chi Wang and Qingyun Wu after leaving Microsoft. Licensed Apache 2.0 under open governance, it provides an AgentOS for multi-agent conversations, tool use with any LLM, human-in-the-loop workflows, group chat orchestration, and teachable agents. AG2 Beta adds streaming, event-driven production architecture.

AI red teaming and infrastructure security scanner by Tencent

AI-Infra-Guard is Tencent's open-source AI security platform providing one-click evaluation of AI infrastructure risks across five modules. It covers insecure config detection, multi-agent workflow evaluation, MCP server scanning across 14 risk categories, vulnerability scanning for 55+ AI frameworks with 1,000+ CVE mappings, and jailbreak evaluation for prompt robustness. Deployable via Docker with academic backing from Peking and Fudan Universities.

Cloud-native control plane for scalable GenAI inference

Open-source Kubernetes-native building blocks for deploying, routing and scaling GenAI inference, including an LLM gateway, autoscaling, LoRA management and KV-cache offloading.

All-in-one LLM CLI tool with shell assistant, RAG, and function calling

All-in-one LLM CLI written in Rust that gives unified access to 20+ AI providers (OpenAI, Claude, Gemini, Ollama, Groq, Mistral, DeepSeek, and more) through one terminal interface. Includes a shell assistant, interactive REPL with session management, RAG over local files and URLs, custom roles, function calling, and a built-in HTTP server exposing Chat Completions, Embeddings, and Rerank APIs plus an LLM Playground and Arena for model comparison.

MCP servers for AWS cloud services and workflows

AWS MCP Servers is a collection of open-source MCP server implementations from AWS Labs that connect AI coding agents to AWS services. It includes servers for AWS documentation, knowledge bases, and managed cloud workflows, enabling agents to provision resources, query docs, and manage infrastructure through the Model Context Protocol.

Open-source desktop AI coworker for browsing and code execution.

Accomplish Coworker is an MIT-licensed open-source AI coworker that runs on the desktop, combining computer-use style browsing with code execution so agents can research, implement, run, and debug workflows in one local environment.

Terminal session manager and command center for AI coding agents

Productivity dashboard for managing AI agents, tasks, and workflows through a unified web and mobile interface. Centralizes monitoring, organization, and coordination of multiple AI-powered workflows so developers and teams can keep track of agent activity, task assignments, and project status in one place. Cross-platform access, categorization and prioritization tools, and progress tracking reduce the cognitive overhead of juggling multiple agent tools.

Microsoft's zero-code-change RL trainer for AI agents

Agent Lightning is Microsoft Research's open-source framework that makes AI agents trainable through reinforcement learning with virtually zero code changes. Supports RL, Automatic Prompt Optimization, and Supervised Fine-tuning across any agent framework including LangChain, OpenAI Agents SDK, AutoGen, and CrewAI. 14K+ GitHub stars, ranked among Microsoft's top 50 most-starred projects.

Open standard for portable skills across AI agents

Agent Skills is the open SKILL.md folder specification for packaging reusable instructions, scripts, references, and assets that compatible AI agents load through progressive disclosure. Originally developed by Anthropic and released as an open standard, it defines the portable format itself—not an example library, marketplace, or hosted agent product.

Browser-based autonomous AI agent platform

AgentGPT is an open-source browser-based platform with 36K+ GitHub stars for creating and deploying autonomous AI agents without any setup or installation. Give an agent a name and goal in plain language, and it autonomously decomposes the objective into subtasks, executes them, and iterates toward completion. Built with Next.js and supports multiple LLM providers. Features include web search, code execution, and task chaining. No technical expertise required to create functional AI agents.

AI autopilot for existing test cases

AgentQ runs existing manual test cases on autopilot using AI to navigate applications and verify expected behavior without requiring test script rewriting. It bridges the gap between manual test plans and full automation by taking existing test documentation and executing it automatically, serving teams with large manual test backlogs who need immediate automation without migration effort.

Production-ready multi-agent platform by Alibaba

AgentScope is an open-source multi-agent platform with 22K+ GitHub stars developed by Alibaba. Designed for production-ready multi-agent applications with built-in distributed execution, fault tolerance, and agent-to-agent messaging. Features memory management with compression, a drag-and-drop workstation for visual agent building, multi-modal support, and flexible pipelines for sequential, parallel, and conditional agent orchestration. Supports all major LLM providers.

TypeScript AI agent standard library

Standard library of AI tools and integrations for TypeScript-based agents. Works with any AI SDK and includes ready-made integrations for search, web scraping, email, and other common tool patterns. Saves developers from rebuilding common agent capabilities from scratch, providing well-tested, type-safe building blocks for rapid AI agent development.

Security scanner for AI agentic workflows and MCP servers

Agentic Radar is an open-source CLI security scanner that maps attack surfaces in agentic AI workflows. It detects MCP servers, visualizes agent tool chains, and validates against OWASP LLM Top 10 vulnerabilities including prompt injection and excessive agency. Supports scanning CrewAI, LangGraph, AutoGen, and Semantic Kernel pipelines. Built by SPLX AI with active development and MCP-specific detection capabilities added for the growing MCP ecosystem.

LLM vulnerability scanner and red teaming kit

Agentic Security is an open-source vulnerability scanner for LLM agent workflows that tests AI systems against jailbreaks, fuzzing, and multimodal attacks. It probes weaknesses across text, image, and audio inputs through multi-step jailbreak simulations, randomized stress testing, and reinforcement learning-powered adaptive attacks. The toolkit connects directly to LLM APIs for high-volume real-world attack scenarios, helping developers identify and patch safety gaps before deployment.

Non-agent approach to automated software engineering via localize-and-repair

Agentless takes a deliberate non-agent approach to LLM-powered software engineering. Instead of autonomous agents making tool calls, it uses a structured localize-then-repair pipeline: first narrowing down which files and functions are relevant, then generating targeted patches. Achieved competitive SWE-Bench results at $0.34 average cost per issue. Adopted by OpenAI for o3 evaluations. 3,000+ GitHub stars, MIT licensed. A counterpoint to the agent-heavy trend in AI coding tools.

Context retrieval layer for AI agents and RAG

Airweave is an open-source context retrieval platform that connects AI agents and RAG systems to 50+ apps and databases through a unified search interface. It continuously syncs data from sources like Notion, Slack, GitHub, and databases, making it searchable through LLM-friendly APIs. Airweave includes Python and TypeScript SDKs, MCP support, and a CLI for managing data connections.

A fast, cross-platform terminal

Self-described 'fastest terminal emulator in existence' — a GPU-accelerated, cross-platform terminal written in Rust focused on simplicity and performance. No tabs, splits, or built-in multiplexer — designed to pair with tmux or Zellij. Configured via YAML with a minimal feature set that prioritizes speed above all else. Supports true color, Vi mode, regex search, and clickable URLs. Available on macOS, Linux, Windows, and BSD. 57K+ GitHub stars.

Open-source toolkit for audio, music, and speech generation

Amphion is an open-source audio generation toolkit from OpenMMLab designed for reproducible research in speech synthesis, voice conversion, singing voice synthesis, and text-to-audio generation. It implements state-of-the-art models including MaskGCT, DualCodec, VITS, and VALL-E with built-in architecture visualizations for educational use. The project ships with the Emilia-Large dataset of 200,000 hours of speech data and includes multiple vocoders and evaluation metrics for benchmarking.

Official SDK for building Claude-powered agentic applications

Anthropic's official SDK for building agents with Claude. Provides high-level abstractions for tool use, multi-turn conversations, computer use, and agent loops on top of the Claude API. Simplifies the development of production-grade agents by handling common patterns like retry logic, context management, and tool orchestration in a well-tested library.

Workflow orchestration platform for data pipelines

Apache Airflow is an open-source workflow orchestration platform with 39K+ GitHub stars for authoring, scheduling, and monitoring data pipelines as Python DAGs. Used by 80K+ organizations for ETL, ML training, and data transformation. Features dynamic pipeline generation, extensive operator library for AWS/GCP/Azure, task dependencies, retries, SLA monitoring, a rich web UI with Gantt charts, and pluggable executors from local to Kubernetes. The industry standard for pipeline orchestration.

Distributed event streaming platform

Apache Kafka is the industry standard open-source event streaming platform with 30K+ GitHub stars, used by 80% of Fortune 100 companies. Handles trillions of events per day with high throughput, low latency, and built-in fault tolerance. Features real-time stream processing via Kafka Streams, connectors for 100+ data sources, exactly-once semantics, and multi-datacenter replication. Foundation for event-driven architectures, real-time pipelines, and data integration at scale.

Native Linux containers on macOS via Apple Virtualization

Apple Containerization is Apple's official Swift package for running Linux containers natively on macOS using the Virtualization framework. It provides near-native performance without Docker Desktop's heavyweight VM, supporting OCI images, container networking, and a command-line interface. The library leverages Apple Silicon hardware acceleration for minimal overhead container execution on Mac development machines.

AI agent that builds other AI agents

Archon is an open-source AI meta-agent created by Cole Medin that autonomously builds, refines, and optimizes other AI agents. Now evolving into Archon OS, it serves as a knowledge and task management backbone for AI coding assistants. The system uses an agentic coding workflow with framework knowledge bases for Pydantic AI, LangGraph, and other agent frameworks, enabling developers to describe what they need and let Archon generate the agent code, test it, and iterate until it works.

Open-source data curation platform for LLM fine-tuning

Argilla is an open-source platform for curating and annotating data for LLM fine-tuning and RLHF workflows. It provides collaborative annotation interfaces for text classification, ranking, and preference labeling with integrated quality metrics. Part of the Hugging Face ecosystem, Argilla supports direct dataset publishing to the Hub and integrates with major training frameworks for seamless model improvement pipelines.