Open Source Tools

High-performance code editor built in Rust

High-performance code editor built entirely in Rust by the creators of Atom and Tree-sitter. GPU-accelerated rendering and a multicore architecture deliver 10x faster startup and 75% lower memory use than Electron editors like VS Code. Native real-time collaboration that works like Google Docs, deeply integrated AI with agentic editing (Claude and more), and Tree-sitter-powered syntax highlighting. Direct-to-display rendering on macOS. Available on macOS, Linux, and Windows.

Microsoft’s public-preview runtime governance toolkit for policy, identity, sandboxing, audit, and MCP security around AI agents.

Agent Governance Toolkit is Microsoft’s MIT-licensed public-preview toolkit for governing AI agent runtimes. It adds policy enforcement, zero-trust identity, execution sandboxing, audit, reliability, and MCP security-gateway patterns around tool calls and autonomous actions, helping platform teams move beyond prompt-only guardrails while preserving architecture review requirements.

Open-source embedding database — the AI-native way to store and query embeddings.

Chroma is an open-source embedding database designed for simplicity and developer experience. Runs in-memory, as a Python library, or as a client-server deployment. Popular for prototyping RAG applications, local development, and lightweight vector search. Integrates natively with LangChain, LlamaIndex, and OpenAI.

Open-source autonomous coding agent for VS Code

Cline is an Apache-2.0 open-source AI coding agent runtime for editor, terminal, and SDK workflows. It reads and edits files, runs commands, uses browsers, plans then acts, and requires explicit approval for each step unless users enable auto-approve. Current Cline sources show 8M+ installs, 63.6k+ GitHub stars, BYOK/provider flexibility, local model support, MCP, plugins, hooks, and Enterprise governance.

Codebase knowledge graph MCP server for AI coding agents

Codebase Memory MCP is an MIT-licensed MCP server that turns a repository into a persistent code knowledge graph for AI coding agents. It gives Claude Code, Cursor, Codex-style agents, and other MCP clients structural queries for functions, classes, call chains, routes, and architecture, helping them explore large projects without repeatedly rereading files or relying only on broad search.

Self-hosted Heroku/Vercel alternative

Open-source, self-hostable PaaS alternative to Heroku, Vercel, and Netlify with 44K+ GitHub stars. Deploy static sites, APIs, full-stack apps, databases, and 280+ one-click services on your own VPS or bare metal via SSH. Features auto Let's Encrypt SSL, Git integration (GitHub/GitLab/Bitbucket/Gitea), S3 backups, Docker Swarm support, and a REST API for CI/CD automation. Self-hosted version is free forever with no features behind paywalls.

Zero-instrumentation Kubernetes observability powered by eBPF

Coroot is an open-source observability platform that uses eBPF to automatically instrument Kubernetes applications without code changes. It provides application maps, latency analysis, log correlation, and continuous profiling with automatic anomaly detection. Replaces the need for manual instrumentation with agents that capture metrics, traces, and logs at the kernel level.

Modern data orchestration for ML and analytics

Dagster is an open-source data orchestration platform with 15K+ GitHub stars combining pipeline scheduling with software-defined assets, built-in data quality checks, and a modern developer experience. Defines data assets declaratively rather than imperatively. Features asset lineage visualization, partitioned processing, sensor-based triggers, comprehensive testing, and integrated observability. A modern alternative to Airflow for teams wanting asset-centric orchestration.

Distributed search and analytics engine for all types of data.

Elasticsearch is the world's most popular open-source search and analytics engine, powering search experiences for companies like Wikipedia, GitHub, Netflix, and Uber. Built on Apache Lucene, it provides near-real-time search, structured and unstructured data analysis, and machine learning capabilities. Part of the Elastic Stack (ELK), it handles log analytics, application search, security analytics, and observability at scale. Supports vector search for AI/RAG applications.

Real-time web search and retrieval via MCP

Exa MCP Server provides AI coding agents with real-time web search and content crawling capabilities through the Model Context Protocol. It leverages Exa's neural search API for semantic understanding of queries, returning clean, structured results with full page content extraction. Supports both remote hosted MCP endpoints and local client configurations.

MCP server that gives coding agents structured Figma context for design-to-code work

Figma Context MCP is an MCP server for giving coding agents structured access to Figma design context during implementation. Instead of copying screenshots or hand-written design specs into prompts, teams can expose layout, component, and context information to agents such as Cursor, Claude Code, and other MCP-compatible coding workflows. It is a strong design-to-code bridge for teams trying to reduce hallucinated UI details and tighten handoff between designers and AI-assisted developers.

Web scraping and crawling via MCP for AI agents

Firecrawl MCP Server is the official MCP integration for Firecrawl, giving Cursor, Claude, Windsurf, and other MCP clients scrape, crawl, map, search, extract, and agent-style web research tools. It now supports a hosted remote endpoint, keyless rate-limited scrape/search/interact use, API-key/OAuth access for the full tool set, and self-hosted Firecrawl deployments.

Google's official CLI agent for coding with Gemini

Gemini CLI is Google's open-source terminal agent for coding with Gemini models, shell/file tools, web fetching, Google Search grounding, and MCP extensions. As of 18 June 2026, unpaid tier and Google One users are being moved to Antigravity CLI; supported Standard, Enterprise, and Google Cloud access paths remain the safer fit for teams.

Open-source secret detection for Git repositories

Gitleaks is an open-source secret scanner with 27K+ GitHub stars that detects hardcoded passwords, API keys, tokens, and private keys in Git repositories, files, directories, and full Git history. It integrates via GitHub Actions, pre-commit hooks, CI/CD pipelines, and single-binary local scans.

Open-source extensible AI agent by Block

Autonomous coding agent from Block (Square) that works with any LLM through MCP-first extensibility. Apache 2.0 licensed with 47K+ GitHub stars and a Linux Foundation AAIF founding project. Designed for terminal-based workflows with deep tool integration, making it a strong open-source option for developers who want agent-assisted coding without vendor lock-in.

Open-source LLM observability through a single-line proxy

Helicone is an open-source LLM observability and AI gateway platform with proxy-based request logging, cost tracking, latency monitoring, caching, rate limits, user analytics, prompt tools, and HQL. It supports OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter integrations, and now presents itself as part of Mintlify while continuing managed and self-hosted gateway/observability workflows.

AI-native database for hybrid RAG retrieval

Infinity is an AI-native database from InfiniFlow that unifies dense vectors, sparse vectors, tensors, and full-text search in a single engine. Built for retrieval-augmented generation (RAG) at scale, it powers hybrid search workflows where lexical matching, semantic similarity, and reranking all happen against one storage layer instead of four loosely coupled services.

Cloud cost estimates for Terraform changes in pull requests

Infracost shows cloud cost changes directly in pull requests before infrastructure-as-code changes are deployed. It calculates cost impact across AWS, Azure, and GCP for Terraform, Terragrunt, CloudFormation, and AWS CDK workflows, with diffs in GitHub, GitLab, Bitbucket, and Azure DevOps. 12.4K+ GitHub stars, Apache 2.0 licensed. Used by GitLab, HelloFresh, JPMorgan Chase, BMW, and Accenture.

AI-powered API testing with traffic recording

Keploy is an open-source AI-powered testing platform that generates API, integration, and unit tests by recording real network traffic via eBPF. It captures API calls, database queries, and streaming events, then replays them as deterministic tests with auto-generated mocks — no code changes needed. Works across any language or framework with CI/CD pipeline integration and popular testing framework support including JUnit, PyTest, Jest, and Go-Test.

AMD's open-source local LLM server with GPU and NPU acceleration

Lemonade is AMD's open-source local AI serving platform for LLMs, image generation, speech recognition, and text-to-speech on your own hardware. Built in lightweight C++, it can detect CPU, GPU, and NPU backends and is extra optimized for Ryzen AI, Radeon, and Strix Halo PCs. Lemonade exposes OpenAI, Anthropic, and Ollama-compatible APIs, ships with a desktop model manager, and supports source-confirmed GGUF, FLM, and ONNX models across Windows, Linux, macOS, and Docker.

Open-source platform for the complete machine learning lifecycle.

MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. Covers experiment tracking, model packaging, model registry, and deployment. Created by Databricks and now a Linux Foundation project. Integrates with TensorFlow, PyTorch, scikit-learn, Hugging Face, and all major ML frameworks.

GPU-accelerated open-source vector database

Milvus is an open-source vector database with 45K+ GitHub stars for billion-scale similarity search. Features GPU-accelerated indexing, hybrid search combining vector and scalar filtering, multi-tenancy, partitioning, and horizontal scaling. Supports HNSW, IVF, DiskANN, and GPU index types. SDKs for Python, Java, Go, and Node.js. Zilliz Cloud offers a managed version. A production-grade foundation for RAG pipelines and recommendation systems at enterprise scale.

Minimal terminal coding harness

Pi Coding Agent is an MIT-licensed Node.js CLI from earendil-works for building and running coding agents in a local terminal. The current package describes a read/bash/edit/write toolset and session management, while the repo positions Pi as a unified LLM API, agent loop, TUI, and coding-agent CLI. It is best framed as a lean, self-extensible BYO-model toolkit rather than a managed IDE.

Open-source terminal AI agent by Alibaba

Apache-2.0 terminal coding agent with Qwen, OpenAI, Anthropic, Gemini, third-party, and local-model support. Qwen OAuth free access ended on April 15, 2026; use Alibaba ModelStudio, a provider API key, or a self-hosted endpoint.

Privacy-first open-source web analytics with session replays

Rybbit is an open-source, privacy-friendly alternative to Google Analytics with real-time dashboards, session replays, funnels, journeys, Web Vitals, retention, custom events, and error tracking. It uses a cookieless model, is AGPL-3.0 for self-hosting, and now uses rybbit.com as its canonical public site.

Autonomous AI pentester for web apps and APIs

Shannon is an autonomous white-box AI pentesting tool for web applications and APIs. It analyzes authorized source code, identifies attack vectors, attempts proof-by-exploitation, and produces remediation-ready reports. Shannon Lite is AGPL-3.0 for local use, while Shannon Pro is the commercial Keygraph platform for continuous security testing.

OpenTelemetry-native observability with AI tracing, logs, traces, metrics, and session replay — self-hosted in 90 seconds.

Traceway is an open-source, OpenTelemetry-native observability platform that combines logs, traces, metrics, exceptions, session replay, and AI tracing in a single self-hosted system. MIT licensed with no open-core restrictions, it deploys in 90 seconds via Docker Compose and accepts OTLP/HTTP from any OTel SDK without a Collector or per-language vendor SDK.

Turn scripts into workflows, UIs, and APIs at scale

Windmill is an open-source workflow engine and developer platform built in Rust that turns scripts in Python, TypeScript, Go, Bash, SQL, and other languages into auto-generated UIs, API endpoints, workflows, data pipelines, AI agents, and scheduled jobs. The project publishes performance benchmarks against Airflow/Prefect/Temporal, supports Docker/Kubernetes self-hosting, and offers paid enterprise features.

Accessibility-tree desktop automation engine for deterministic native-app control

agent-desktop is a Rust-native desktop automation engine for AI agents that need structured control of native applications without relying only on screenshots or pixel loops. It exposes accessibility-tree snapshots, stable element references, progressive traversal, and action primitives that can let coding agents and automation stacks operate on Windows, macOS, Electron, and legacy interfaces with lower token cost and better repeatability than pure vision control.

Go implementation of the Model Context Protocol SDK

mcp-go is a Go implementation of the Model Context Protocol, providing both server and client SDKs for building MCP integrations in Go. It supports stdio and SSE transports, resource management, tool registration, and prompt templates. Designed for Go developers building MCP servers for DevOps tools, CLI applications, and backend services. Over 8,000 GitHub stars.

DiskANN-powered vector search extension for PostgreSQL

pgvectorscale is an open-source PostgreSQL extension from Timescale that complements pgvector with DiskANN-based approximate vector search. It is useful for teams that want faster embedding retrieval while keeping vectors, filters, and application data inside the Postgres ecosystem instead of adopting a separate hosted vector database.

AI pair programming in your terminal

Terminal-based AI pair programmer with deep git integration. Auto-commits changes with meaningful messages and creates repository maps for navigating large codebases. Works with Claude, GPT, DeepSeek, and local models. One of the most popular open-source AI coding tools, known for its reliability, broad model support, and seamless command-line workflow.

Cloud browser automation via MCP for scalable testing

Browserbase MCP Server gives MCP clients a hosted or self-hostable browser through Browserbase and Stagehand. It exposes tools for starting sessions, navigating, acting, observing, extracting, and taking screenshots, with a hosted Streamable HTTP endpoint for easiest setup and local STDIO/Docker options for teams that want to run the Apache-licensed server themselves.

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.

Context compression for LLM apps and coding agents

Headroom is an Apache-2.0 context compression layer for LLM apps and coding agents. It compresses tool output, logs, files, RAG chunks, and agent history through a local library, proxy, wrapper, or MCP server, with retrieval hooks for bringing originals back when needed. Treat its savings numbers as Headroom-reported benchmarks, not independent aicoolies measurements.

HyperDX is the ClickStack UI for ClickHouse-backed observability. It provides a frontend for exploring logs, traces, metrics, session replay, dashboards, and alerts, with an OpenTelemetry-centered deployment path for teams that want a self-hosted or ClickHouse-aligned observability stack.

Knowledge graph-powered RAG framework from HKU

LightRAG is a research-backed RAG framework from Hong Kong University that combines knowledge graph structures with vector search for more contextual retrieval. Published at EMNLP 2025, it extracts entities and relationships from documents to build a structured knowledge graph, then uses dual-level retrieval across both graph and vector representations with five query modes: naive, local, global, hybrid, and mix.

Open-source AI coding agent for the terminal

Open-source terminal-based AI coding agent built in Go by the SST team, with a rich TUI (Bubble Tea) supporting 75+ model providers including OpenAI, Anthropic, Gemini, Bedrock, Groq, and OpenRouter. Features vim-like editing, persistent SQLite sessions, and LSP integration for 40+ languages. Fully free with no vendor lock-in, it has rapidly grown to 95k+ GitHub stars.

Open-source Terraform fork — community-driven Infrastructure as Code.

OpenTofu is an open-source fork of Terraform created by the Linux Foundation after HashiCorp switched Terraform to the BSL license. Designed to preserve existing Terraform workflows and configurations, it offers state encryption, early variable evaluation, and a community-driven development model. Backed by major cloud providers and companies.

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.

LLM evaluation and tracking with RAG triad metrics

TruLens is an open-source framework for evaluating and tracking LLM experiments with feedback functions, RAG triad metrics (answer relevance, context relevance, groundedness), and Honest/Harmless/Helpful evaluations. Features a unified Metric API for systematic evaluation of RAG pipelines and AI agents. 3,200+ GitHub stars, MIT licensed. Snowflake partnership adds enterprise integration. Supports LangChain, LlamaIndex, and custom LLM applications.

Cross-agent messaging for CLI coding agents

agmsg is an MIT-licensed Bash and SQLite messaging layer for CLI coding agents. It lets Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, Antigravity, OpenCode, Hermes, and other terminal agents exchange messages through a shared local database instead of relying on a human copy-paste relay. It is intentionally not MCP, not a broker, and not a subagent framework.

MCP, ACP and Skills support for building production coding agents — interactive or automated.

fast-agent is an Apache-licensed Python framework for building and running LLM agents with full MCP (Model Context Protocol) and ACP support. It ships with an interactive shell mode, Skills management, and multi-model routing — making it a practical platform for coding agents, workflow automation, and agent evaluation across Claude, Codex, HuggingFace, and local models.

Google’s open-source Kubernetes assistant that translates natural-language intent into precise cluster operations.

kubectl-ai is an AI-powered Kubernetes assistant from Google Cloud Platform. It acts as an intelligent interface for cluster work, translating operator intent into Kubernetes commands and workflows. The key distinction from reactive diagnosis tools is that kubectl-ai is designed as an interactive natural-language interface for planning and executing Kubernetes operations, with provider configuration and MCP-oriented workflows around the CLI.

Lightweight multi-modal agent framework

Fast, lightweight Python framework for building multi-modal AI agents, formerly known as Phidata. Includes built-in memory, knowledge bases, tools, and reasoning capabilities with 40K+ GitHub stars. Designed for developers who want to build production-ready agents quickly with minimal boilerplate, supporting structured outputs and multi-agent coordination out of the box.

Open-source backend-as-a-service platform

Appwrite is an open-source BaaS platform with 56K+ GitHub stars providing authentication, databases, storage, functions, messaging, and real-time APIs out of the box. Self-hostable alternative to Firebase with 15+ client and server SDKs. Features OAuth login with 30+ providers, document-based database with queries, file storage with image transforms, serverless functions, and push notifications. Docker-based deployment with a web console for management.

Terraform pull request automation via GitHub/GitLab comments

Atlantis is a self-hosted Terraform pull request automation tool that runs plan and apply operations triggered by GitHub, GitLab, Bitbucket, or Azure DevOps comments. Type 'atlantis plan' on a PR to see infrastructure changes, then 'atlantis apply' to deploy. 9,100+ GitHub stars, Apache 2.0 licensed. Widely adopted as the standard for GitOps-style Terraform workflows, with locking to prevent concurrent modifications to the same resources.

Desktop app for running AI coding agents in parallel

Baton is a desktop application for running multiple AI coding agents in parallel inside isolated git worktrees. It supports Claude Code, Codex CLI, OpenCode, Gemini CLI, visual diffs, status notifications, MCP server support, built-in Git operations, and one-click PRs to GitHub or GitLab.