Best tools for Agentic Development

Sandboxes for coding agents — Linux VMs, Git, and deploys in one box

Freestyle is YC-backed sandbox infrastructure built for AI coding agents, shipping secure Linux VMs with nested virtualization, Git servers, and one-click web deploys. It lets agents run real workloads, branch repos, and deploy apps under short-lived identities while billing only for active compute. Used in production by vly.ai, Rork, and Vibeflow.

GitHub Copilot in your terminal

Brings GitHub Copilot to the terminal, giving developers AI assistance for shell commands, error explanations, and code generation directly from the command line. Supports natural language queries to generate complex shell commands, explains error messages in plain English, and integrates with the broader GitHub Copilot ecosystem including model selection and premium request management.

Scalable browser infrastructure for AI agents

Hyperbrowser is a cloud browser platform for AI agents and automation, providing managed Chrome sessions through Playwright, Puppeteer, CDP, REST, Python, and Node.js SDKs. Docs cover Stagehand, stealth/proxy options, ad blocking, recordings, scraping APIs, and credit pricing without promising universal CAPTCHA or anti-bot bypass.

Spec-driven agentic IDE and CLI by AWS

Spec-driven agentic AI IDE from AWS, built on Code OSS (the VS Code foundation), that transforms ad-hoc prompting into a structured workflow by auto-generating requirements documents, design specs, and implementation plans before writing code. Kiro keeps AI-written code tied to explicit acceptance criteria defined up front.

Browser automation with AI vision — no XPath or DOM parsing needed

Skyvern automates browser-based workflows using LLMs and computer vision instead of brittle XPath or CSS selectors. It understands web pages visually, navigating forms, clicking buttons, and extracting data like a human would. Achieved 85.85% success rate on WebVoyager benchmark and SOTA on WRITE tasks for RPA. 21,000+ GitHub stars, AGPL-3.0 licensed. Skyvern Cloud offers managed usage-based hosting for teams that prefer not to self-host the infrastructure.

Official Slack MCP server for approved workspace search, messaging, canvas, and user-context actions.

Slack MCP Server is Slack’s official remote MCP layer for giving approved AI clients workspace context and controlled actions. It lets agents search messages, files, users, and channels, draft or send messages, read threads, manage canvases, and authenticate through Slack OAuth while workspace admins approve integrations and normal Slack rate limits still apply.

Autonomous AI software engineer by Cognition

Devin is Cognition's managed AI software engineer for delegating engineering tasks to cloud and desktop agents. It can plan work, navigate codebases, write and run code, test changes, open PRs, review/autofix issues, and collaborate through GitHub, GitLab, Bitbucket, Linear, Jira, Slack, and Teams. Current Devin surfaces include Devin Cloud, Devin Desktop, Devin CLI, Devin Review, Windows VM support, DeepWiki, Ask Devin, and team/enterprise controls.

MIT-licensed autonomous coding-agent reference, now superseded for many new uses by mini-swe-agent.

SWE-agent is an MIT-licensed autonomous coding-agent reference from Princeton and Stanford researchers that takes GitHub issues and attempts fixes with a bring-your-own language model. Its agent-computer interface remains foundational for repository navigation, editing, and test execution. The README now says development has shifted to mini-swe-agent, which supersedes SWE-agent and is generally recommended going forward.

The modern terminal with AI

GPU-accelerated terminal built in Rust, now evolved into an Agentic Development Environment (ADE) used by 700K+ developers. Features block-based output navigation, AI command suggestions via the Oz orchestration engine, multi-line editing with syntax highlighting, and a built-in code editor with LSP support. Available on macOS, Linux, and Windows. Includes Warp Drive for sharing workflows, real-time session collaboration, and BYOK support for OpenAI, Anthropic, and Google API keys.

Drag-and-drop LLM flow builder

Open-source protocol for connecting AI models to external tools and data sources, created by Anthropic. Provides a standardized way for LLMs to interact with APIs, databases, and local files through a universal client-server architecture. Rapidly adopted across the AI ecosystem as the standard interface between AI assistants and the tools they need to be useful.

Multi-agent CLI pair programmer with FORGE, MUSE, and SAGE agents

Model-agnostic terminal coding tool with 3 specialized agents: FORGE for code editing, MUSE for planning and review, and SAGE for research. Connects to hundreds of LLM providers and models with local-first privacy and conversational Git integration. Apache 2.0 licensed. A thoughtfully designed multi-agent approach that separates concerns between coding, thinking, and information gathering for more reliable results.

Self-evolving local computer agent with a reusable skill tree

GenericAgent is a minimal, self-evolving autonomous agent from a 3.3K-line seed and ~3K core loop that gives LLMs system-level control of a local computer. It writes files, runs shell commands, browses the web, and uses keyboard/mouse/screen/mobile tools, while skill crystallization saves successful runs into a reusable skill tree that cuts token cost on repeats.

AI coding agent by Moonshot AI

Terminal-based AI coding agent from Moonshot AI, powered by Kimi K2.5 with a 256K context window that achieves 76.8% on SWE-Bench Verified. Reads and edits code, executes shell commands, fetches web pages, and autonomously plans multi-step development workflows through natural language. Moonshot's entry into the AI coding agent market, leveraging their strength in large-context language models.

MCP server registry and hosting

Registry and management platform for Model Context Protocol (MCP) servers that helps teams securely discover, install, deploy, and connect MCP servers for AI assistants. Smithery combines a searchable catalog, CLI setup, hosted deployments, namespaces, connection APIs, and scoped service-token flows for clients such as Claude, Cursor, Windsurf, and Codex.

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.

AWS AI assistant for terminal and code

Amazon Q Developer CLI is an agentic AI assistant from AWS that enhances the terminal experience with deep AWS integration, code generation, and natural-language command translation. Completes multi-step development tasks, troubleshoots AWS services, writes infrastructure code, and handles documentation lookups directly from the shell. Included with AWS accounts and integrates with existing AWS credentials.

Agentic DevOps automation via ChatOps

Kubiya is an agentic automation platform for DevOps and platform teams that uses specialized agents with connectors for Kubernetes, AWS, GitHub, Jira, and Terraform to automate operational tasks through Slack or web portals. It provides Terraform module support for infrastructure-as-code configuration and manages agent behaviors with policy-based controls for enterprise-grade governance.

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 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.

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.

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.

OpenAI's autonomous coding agent orchestration framework

Symphony is OpenAI's open-source framework that turns project work into isolated, autonomous implementation runs. Instead of supervising coding agents line by line, teams assign tasks from project boards and Symphony dispatches agents to handle them independently. Each agent works in an isolated workspace, provides proof of work documentation including CI status and PR review feedback, and can automatically merge approved pull requests.

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.

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.

Open standard for guiding AI coding agents at the repository level

AGENTS.md is an open standard format adopted by 60,000+ open-source projects for providing AI coding agents with repository-level instructions. With 20,000+ GitHub stars, it has been adopted by GitHub Copilot, OpenAI Codex, Google Gemini CLI, and multiple IDEs as the de facto way to communicate project context and coding conventions to AI agents.

Autonomous scientific discovery via agentic tree search

AI Scientist v2 is Sakana AI's source-available system distributed under the AI Scientist Source Code License for fully autonomous scientific research using LLM-powered agentic tree search. It generates hypotheses, designs experiments, writes and executes code, analyzes results, and produces publishable manuscripts without human intervention. The system uses progressive exploration with backtracking to navigate the research space efficiently.

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.

Multi-agent coordination framework

A framework for coordinating multiple AI agents working together on complex development tasks. Defines agent roles, communication patterns, task delegation strategies, and inter-agent workflows to break down large projects into manageable, parallel workstreams handled by specialized agents. Ideal for teams experimenting with multi-agent architectures where different AI models handle distinct aspects of software development.

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.

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.

Transparent AI agent framework with 100+ skills and real-time visibility

Agent Zero is an open-source general-purpose AI agent framework with 16,700+ GitHub stars that uses the computer itself as a tool. Unlike structured orchestration frameworks, it provides full transparency where every thought, action, and tool call is visible and editable in real time, supporting 100+ extensible skills.

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.

Email API service that gives AI agents their own inboxes and identities

AgentMail is a YC S25 startup that provides email infrastructure specifically designed for AI agents. It gives each agent its own email address and inbox, enabling agents to send, receive, and manage email conversations independently. With $6 million in seed funding from General Catalyst and Paul Graham, and over 500 B2B customers, AgentMail solves the identity and communication gap that arises when organizations deploy autonomous agents that need to interact via email.

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.

AI-driven development workflow template

A template system that bootstraps AI-driven development workflows for your projects. Provides structured workflows, templates, and configurations for integrating AI agents into your development process. Reduces setup time by giving teams a proven starting point for organizing AI-assisted coding, task management, and quality assurance in new and existing repositories.

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.

Cloud browser infrastructure for AI agents

Anchor Browser provides secure cloud-managed browser infrastructure for computer-use agents. Deploy humanized Chromium instances that access any website while maintaining bot-detection evasion and authentication support. Features OmniConnect for authentication lifecycle management, Web Action Cache for deterministic workflows, and built-in VPN infrastructure. Includes free tier and paid plans supporting millions of concurrent browser sessions for scalable agent automation.

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.

Official Claude Agent Skills examples, spec, and plugin marketplace for reusable agent capabilities

Anthropic Agent Skills is Anthropic's official reference repo and Claude Code plugin marketplace for reusable Skill folders. It packages example SKILL.md workflows, document skills, a Claude API skill, templates, and the Agent Skills spec so teams can turn repeatable instructions, scripts, and resources into on-demand Claude capabilities instead of copying prompts across sessions.

Tool platform for AI agents

Arcade AI is an MCP runtime platform for secure agent authorization, reliable tool execution, and governance. It enables enterprises to deploy authenticated AI agents across Gmail, Slack, Salesforce, and 100+ other services without managing OAuth complexity or token refresh cycles. Arcade provides a centralized authorization layer that handles authentication, permission scoping, and compliance for every tool call an agent makes.

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.

Database branching for coding agents

Ardent is a Postgres database branching platform built for coding-agent workflows. It creates isolated database copies in seconds so Claude Code, Codex, Cursor, or human developers can test migrations, clean data, reproduce bugs, and run risky experiments without touching production. The strongest fit is teams already using Postgres who need agent-safe dev/test databases rather than another generic serverless database.

Official Asana remote MCP server for project and task workflows.

Asana MCP Server is Asana's official hosted MCP endpoint for connecting compatible AI clients to Asana work data. It lets authenticated users search workspace objects, inspect and manage tasks or projects, create work items, and generate project summaries through OAuth-backed Streamable HTTP access while preserving existing Asana permissions and admin app-management controls.