catalog / tools
Tools
Browse all developer tools — AI assistants, IDEs, terminals, and more.
1279 tools indexed
showing 48 of 1279 tools
Jean
AI agent dev environment with parallel git worktrees, magic git commands, and Linear integration.
Jean is an open-source desktop dev environment for AI agents from coolLabs (the team behind Coolify). It runs multiple coding agents — Claude Code, Codex, and others — in parallel inside isolated git worktrees, each with its own chat session and terminal. Magic git commands handle commits, PR descriptions, code reviews, and merge conflicts with AI assistance, while built-in Linear and GitHub integrations load issue context into every session.
Junie
AI coding agent by JetBrains for autonomous task execution
Junie is JetBrains’ AI coding agent for autonomous task execution inside JetBrains IDEs and Android Studio. It helps plan implementation steps, write and inspect code, run tests, and collaborate through code and ask modes. Current JetBrains AI positioning lists Claude, GPT, Gemini, Grok, local-model options, and provider-choice paths, with AI Ultimate recommended for regular Junie usage.
LanceDB
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.
LangGraph
Stateful agent orchestration framework by LangChain
LangGraph is LangChain's framework for building stateful, multi-actor AI agent applications as controllable graphs. It models workflows as nodes and edges, enabling cycles, branching, and human-in-the-loop patterns that simple chains cannot express. Features built-in persistence for conversation memory, streaming support, and fault tolerance. Provides fine-grained control over execution flow while supporting single-agent and multi-agent architectures with shared or independent state.
Mastra
TypeScript AI agent framework
TypeScript-native framework for building AI agents and workflows with great developer experience. Provides primitives for agents with tool calling, RAG pipelines, workflow orchestration with branching/parallel steps, and integration connectors. First-class TypeScript support with type-safe tool definitions. Local dev server with playground UI for testing. Growing as a LangChain alternative for TypeScript developers building AI apps.
Momentic
AI-native end-to-end testing with plain English test authoring
Momentic is an AI-native testing platform that lets teams write end-to-end tests in plain English. It features auto-healing test selectors that adapt to UI changes, instant mobile device emulators, built-in visual regression testing, and AI-powered flaky test handling. Backed by $15M Series A from Standard Capital, it eliminates brittle test maintenance through intelligent element identification and self-repairing test flows.
Notion
Connected workspace for teams
All-in-one workspace combining notes, wikis, project management, databases, and documents in a single flexible platform. Features a block-based editor supporting rich text, tables, kanban boards, calendars, galleries, and embeds. Powerful databases with relations, rollups, formulas, and filtered views. Includes Notion AI for writing assistance, team collaboration with permissions, templates gallery, and API for integrations. Used by millions for personal and team knowledge management.
Omnara
Command center for Claude Code and Codex — monitor, steer, and voice-control your AI agents from any device.
Omnara is a command center for Claude Code and Codex sessions across desktop, web, mobile, and Apple Watch. Its public site supports cross-device supervision, parallel agents, worktrees, Git, and session-continuity language, with free-offer metadata; teams should verify detailed pricing, relay, privacy, and enterprise controls before standardizing it.
Onyx
Self-hosted AI platform with RAG, agents, and 40+ connectors
Onyx is an open-core, self-hostable AI knowledge platform for enterprise search, RAG chat, deep research, custom agents, and workplace connectors. It connects to 40+ apps, supports permission-aware retrieval, and offers Cloud, Docker/Kubernetes, and enterprise deployment paths for teams that need controlled internal AI search.
OpenAI Agents SDK
Official Python SDK for OpenAI agents
OpenAI's Python framework for building multi-agent AI applications with GPT models. Provides primitives for creating agents with tool calling, handoffs between specialized agents, guardrails for input/output validation, and tracing for observability. Supports building complex workflows where agents collaborate on tasks. Includes built-in tools for file search, code execution, and web browsing. Designed for production agent systems with structured output and error recovery patterns.
OpenRouter
Unified API gateway for 200+ AI models
Unified API gateway providing access to 500+ AI models from leading providers through a single OpenAI-compatible interface. OpenRouter eliminates the need to manage separate keys, billing, and integrations across providers like OpenAI, Anthropic, Google, and Meta, with built-in plugins for web search, PDF processing, automatic fallback routing, and per-model cost tracking.
Orca
The Agent Development Environment for running parallel coding agents in isolated worktrees
Orca is an open-source Agent Development Environment (ADE) for running 25+ coding agents in parallel, each in an isolated git worktree. Supports Claude Code, Codex, Gemini, OpenCode, Amp, Goose, Grok, and Aider with BYOK subscriptions. Includes a WebGL terminal with infinite splits, built-in git tracking, hot-swap accounts, and an iOS/Android companion app for monitoring agent work on the move.
Panda CSS
Zero-runtime CSS-in-JS framework with type-safe style authoring
Panda CSS is a zero-runtime CSS-in-JS framework that generates atomic CSS at build time from type-safe style definitions. It provides the developer experience of CSS-in-JS with runtime performance of static CSS extraction. Supports design tokens, responsive styles, conditional variants, and recipes for component style APIs. 335K+ weekly npm downloads for @pandacss/dev with RSC compatibility.
Promptfoo
LLM testing and evaluation toolkit
Promptfoo is an OpenAI-owned open-source toolkit for evaluating, red-teaming and securing LLM applications. It supports config-driven prompt/model tests, CI regression gates, red-team scans, guardrails, model security workflows, MCP Proxy, code scanning and evaluations across prompts, agents and RAG pipelines.
Puck
Open-source visual editor for React — self-hostable core, optional Puck Cloud
Puck is an open-source visual page builder for React that gives teams a drag-and-drop editor backed by their own components. The MIT-licensed core remains self-hostable and persists plain JSON, while Puck Cloud and Puck AI now add optional hosted and agentic editing layers. With 12.8K+ stars, it is the dev-first visual editor to watch.
Pulumi
Infrastructure as Code using real programming languages — TypeScript, Python, Go, C#, Java.
Pulumi is a modern Infrastructure as Code platform that lets teams define cloud infrastructure using familiar programming languages instead of DSLs. Supports TypeScript, Python, Go, C#, Java, and YAML across major clouds, Kubernetes, and a broad Pulumi Registry with Terraform-derived provider coverage. Offers testing, IDE autocomplete, reusable components, and Pulumi Cloud state/governance features.
Ragie
Fully managed RAG-as-a-Service platform for enterprise AI applications
Ragie is a managed retrieval-augmented generation platform that handles document ingestion, indexing, and retrieval so developers can build grounded AI applications without managing vector databases or chunking pipelines. It connects to Google Drive, Notion, Slack, Confluence, and other enterprise data sources with simple APIs for hybrid search and entity extraction.
Repomix
Pack your entire codebase into a single AI-friendly file
Repomix packages entire repositories into single AI-optimized files for feeding to LLMs like Claude, ChatGPT, and Gemini. It outputs XML, Markdown, JSON, or plain text with token counting, security scanning via Secretlint, and Tree-sitter-based code compression. Works as CLI, MCP server, or Chrome extension for GitHub. Supports Claude Agent Skills generation. 26K+ GitHub stars, MIT licensed, with a web interface at repomix.com for zero-install usage.
Sentry
Application monitoring and error tracking that helps developers fix issues faster.
Sentry is the leading error tracking and performance monitoring platform for developers. Captures and aggregates errors with full stack traces, breadcrumbs, and context across 100+ platforms. Used by over 100,000 organizations. Features session replay, performance tracing, and code-level profiling. A self-hosted deployment is available under FSL-1.1-Apache-2.0.
Serena
LSP-powered semantic coding agent via MCP
Serena is a free, open-source coding agent toolkit that provides IDE-like semantic code retrieval and editing capabilities to any LLM via the Model Context Protocol (MCP). Built on Language Server Protocol (LSP) integration, it enables symbol-level navigation, cross-file refactoring, and relational code understanding across Python, TypeScript, Go, Rust, Java, PHP, and more — without requiring file-level reads or text-based search.
Snyk
Developer-first security platform
Snyk is the leading developer security platform providing continuous scanning for vulnerabilities in code (SAST), open-source dependencies (SCA), container images, and infrastructure as code. Integrates directly into IDEs, Git repositories, CI/CD pipelines, and container registries. Features AI-powered fix suggestions, license compliance checking, and real-time vulnerability database. Free for individual developers with paid plans for teams. Supports 30+ programming languages.
TruffleHog
Secret scanning across Git history and cloud storage
TruffleHog by Truffle Security scans for high-entropy strings and secrets across GitHub history, S3 buckets, and other data stores with 26.7K+ GitHub stars. It goes beyond simple pattern matching by verifying whether discovered credentials are actually active and valid, significantly reducing false positives and helping teams prioritize remediation of truly exposed secrets.
VectorChord
High-recall Postgres vector search at billion scale
VectorChord is a Postgres extension from the supervc-stack/VectorChord project that brings high-recall vector search to PostgreSQL. As the spiritual successor to pgvecto.rs, it combines IVF indexes with RaBitQ quantization to deliver Pinecone-class performance at billion-vector scale while keeping all data inside a single Postgres database — no separate vector store, no two-system sync, no rewrites when the workload grows.
Vibe Kanban
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.
n8n
Workflow automation with AI nodes
n8n is a source-available workflow automation platform for connecting apps, APIs, data, and AI models through visual workflows and code. It supports self-hosted deployments and n8n Cloud, with integrations across communication, databases, CRM, project management, and model providers. Teams can combine deterministic automation with AI-powered steps and agent workflows while retaining control over deployment and data.
pgvector
Vector similarity search for PostgreSQL
pgvector is an open-source PostgreSQL extension with 22K+ GitHub stars adding vector similarity search to your existing Postgres database. Store embeddings alongside relational data, perform exact and approximate nearest neighbor search using L2, inner product, cosine, and L1 metrics. Supports HNSW and IVFFlat indexes for fast similarity queries at scale. Eliminates the need for a separate vector database by bringing vector capabilities into existing PostgreSQL infrastructure.
Amp
Agentic coding tool by Sourcegraph (formerly Cody)
Amp Frontier Corporation's multi-model coding agent for terminal, web, and IDE-connected workflows. It uses GPT-5.6, Claude Fable 5, and fast models across low, medium, high, and ultra modes, with subagents, an Oracle second-opinion model, shared threads, remote orbs, MCP, and plugins. Pricing combines a daily free credit grant, $20/$200 monthly subscriptions, and optional pay-as-you-go credits.
Browser Use
AI agent framework for web browser automation
Browser Use is an open-source AI agent framework with 99K+ GitHub stars enabling LLMs to control web browsers via natural language. Y Combinator-backed, it lets agents navigate sites, fill forms, extract data, and complete multi-step tasks autonomously. Built on Playwright with vision-based element detection, multi-tab management, cookie persistence, and self-correcting actions. Supports OpenAI, Anthropic, and local models with a simple Python API for building custom browser agents.
Directus
Open data platform wrapping any SQL database with instant APIs
Directus is a database-first open data platform that wraps any existing SQL database with instant REST and GraphQL APIs, a no-code admin dashboard, and built-in authentication. Unlike traditional headless CMS platforms that impose their own data model, Directus introspects your existing schema and works on top of it — supporting PostgreSQL, MySQL, SQLite, MS SQL, MariaDB, and CockroachDB out of the box.
Dolt
Git for data — version-controlled SQL database with branch, merge, and diff
Dolt is a SQL database that implements Git-style version control directly on structured data. Table changes can be staged, committed, branched, merged, diffed, and reverted through SQL workflows and a Git-like CLI. It speaks the MySQL wire protocol so existing MySQL clients, ORMs, and tools can connect with minimal driver changes. Dolt is used for AI training data management, reproducible analytics, collaborative data editing, and agent-memory experiments.
GitHub Actions
Automate your workflow from GitHub
GitHub's built-in CI/CD and workflow automation platform that runs directly in your repository. Define workflows in YAML triggered by Git events (push, PR, release), schedules, or manual dispatch. Massive marketplace of 20,000+ community-maintained actions for testing, building, deploying, and automating tasks. Supports matrix builds, caching, secrets, environments with approval gates, and self-hosted runners. Free for public repos with generous minutes for private repos.
GitHub Codespaces
Instant cloud dev environments
GitHub Codespaces is a cloud-hosted development environment that spins up a full VS Code workspace in a dev container directly from any GitHub repo. Configurable via devcontainer.json, prebuilt for fast cold starts, and accessible through the browser or local VS Code. Used by teams that want zero-setup onboarding, consistent environments, and reproducible builds across platforms.
GitNexus
Graph RAG code knowledge graph for repository exploration
GitNexus is a code-knowledge-graph and Graph RAG app for exploring repository structure before humans or AI coding agents make changes. Write-time source checks support graph/RAG and local-server signals, but not hard local/server-architecture, 14-language, MCP, pricing, or licensing claims; evaluate privacy, scale, and integrations directly.
Greptile
AI code review with full codebase context
Greptile is a Y Combinator-backed AI code review tool that indexes your entire codebase to build a semantic code graph of functions, classes, and dependencies. Unlike diff-only reviewers, it catches cross-file issues, architectural drift, and convention violations with an 82% bug catch rate. Supports GitHub, GitLab, Jira, Slack, and VS Code. Offers cloud and self-hosted VPC deployment with SOC2 Type II compliance. Used by 250+ companies including Stripe and Amazon.
Inspect AI
UK AI Security Institute framework for LLM safety evaluations
Inspect AI is an MIT-licensed framework from the UK AI Security Institute for running large language model evaluations, including tool use, multi-turn dialogue, model-graded scoring, and reusable evaluation tasks.
K8sGPT
AI-powered Kubernetes diagnostics in plain English
K8sGPT is a CNCF Sandbox project that scans Kubernetes clusters, diagnoses issues, and explains problems in plain English with actionable remediation steps. It codifies SRE expertise into built-in analyzers for Pods, Services, Deployments, Ingress, PVCs, CronJobs, and more. K8sGPT connects to AI backends including OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock, Cohere, and local models via Ollama, with data anonymization to protect sensitive cluster information.
Kubernetes
Container orchestration at scale
Kubernetes (K8s) is the industry-standard open-source container orchestration platform originally developed by Google and now maintained by the CNCF. Automates deployment, scaling, self-healing, and networking of containerized workloads across clusters of machines. Runs everywhere from laptops (kind, k3s) to every major cloud (EKS, GKE, AKS), and is the foundation of modern cloud-native infrastructure.
Linear MCP Server
Official authenticated remote MCP endpoint for Linear issues, projects, comments, and coding-agent workflows.
Linear MCP Server is Linear’s official authenticated remote MCP endpoint for agent access to issues, projects, and comments. It gives Claude, Codex, Cursor, VS Code, Windsurf, Zed, and other clients a centrally hosted way to find, create, and update Linear work items through OAuth-backed MCP without maintaining a local connector or brittle API glue.
LobeChat
Open-source multi-model AI chat framework with plugin ecosystem
LobeChat is a source-available AI chat and agent workspace for OpenAI, Claude, Gemini, Ollama, DeepSeek, and Qwen. It includes RAG, 10,000+ MCP-compatible plugins, Agent Groups, TTS/STT, Vercel/Docker self-hosting, and 79K+ GitHub stars.
MCP Python SDK
Official Python SDK for building MCP servers
The official Python SDK for the Model Context Protocol, enabling developers to build MCP servers and clients with asyncio support. Provides type-safe tool definitions, resource management, and all standard MCP transports. The most popular Python package for MCP development with comprehensive documentation.
Make
Visual automation platform for complex workflows
Visual workflow automation platform formerly known as Integromat, built around a drag-and-drop canvas for complex multi-step workflows. Features routers for conditional branching, iterators for array processing, aggregators, webhooks, and HTTP modules for custom API calls. Best suited to power users and technical teams that need granular data transformation and workflow logic rather than only simple trigger-action automations.
Metabase
Open source business intelligence and analytics
Metabase is an open-source business intelligence and embedded analytics platform for teams that want self-service dashboards, SQL workflows, and customer-facing analytics without adopting a heavy BI suite. It supports visual querying, saved questions, alerts, database connectors, cloud or self-hosted deployment, and embedding paths that now require careful plan, permission, and license review.
OpenHands
Open-source AI software development agent
Open-source AI agent platform (formerly OpenDevin) for building developer agents that modify code, run shell commands, browse the web, and call APIs through a composable Python SDK and CLI. OpenHands runs agents in sandboxed Docker containers accessed via SSH, supports Claude/GPT/any LLM, and has solved 50%+ of real GitHub issues in software engineering benchmarks.
Ory
Modular open-source identity infrastructure with Kratos, Hydra, and Keto
Ory provides a suite of modular open-source identity components: Kratos for user management and authentication, Hydra for OAuth2 and OIDC, Oathkeeper for API gateway authorization, and Keto for fine-grained permission management. Used by OpenAI and other major organizations. API-first design with Go-based microservices that deploy independently or together as Ory Network cloud.
Portkey
AI gateway with observability, routing, and guardrails
Portkey is an AI gateway and observability platform providing a unified API for 200+ LLM providers with intelligent routing, caching, rate limiting, and guardrails. Route requests across OpenAI, Anthropic, Google, and more with automatic failover, load balancing, and cost optimization. Features request logging, prompt management, evaluation tools, and real-time monitoring. The open-source gateway can be self-hosted; Portkey Cloud adds managed observability and team features.
Prisma
Next-generation Node.js ORM
Next-generation TypeScript ORM with schema-first design and auto-generated, type-safe database client. Define models in Prisma Schema Language, manage migrations via Prisma Migrate, and browse data in Prisma Studio. Supports PostgreSQL, MySQL, SQLite, SQL Server, MongoDB, and CockroachDB. Prisma Accelerate provides edge caching and connection pooling, Optimize offers AI-powered query analysis. 40K+ GitHub stars, widely adopted in Node.js/TypeScript.
Prometheus
Open-source monitoring and alerting toolkit — the CNCF standard for metrics collection.
Prometheus is the open-source monitoring system and time-series database that has become the CNCF standard for metrics collection in cloud-native environments. Features a powerful query language (PromQL), pull-based metrics collection, multi-dimensional data model, and built-in alerting via Alertmanager. The foundation of modern Kubernetes observability.
Pydantic AI
Python agent framework by Pydantic team
Agent framework built on Pydantic for type-safe AI applications. Provides structured outputs, dependency injection, and multi-model support. Created by the Pydantic team, it brings the same validation and typing philosophy that made Pydantic essential for Python APIs to the world of AI agents, ensuring reliable data flow between LLMs and application logic.