Best tools for Agentic Development

Anthropic's agentic coding CLI

Anthropic's agentic CLI coding tool that delegates complex tasks to Claude directly from the terminal. Understands entire codebases via automatic context gathering, edits multiple files, runs shell commands, and manages Git workflows autonomously. Supports CLAUDE.md for persistent project instructions, integrates with VS Code and JetBrains, and uses Claude Opus/Sonnet with extended thinking for complex architectural decisions. Built for terminal-first developers.

Agentic coding tool by Sourcegraph (formerly Cody)

Amp is a multi-model coding agent for terminal, web, macOS/iOS, and IDE-connected workflows. Vendor docs describe the same agent and threads across surfaces, with remote Orbs, local Runners, Dial modes (low / medium / high / ultra), shared threads, MCP, plugins, and BYOK / linked ChatGPT subscriptions. Pricing spans a free Hobby tier, optional Megawatt ($20/mo) and Gigawatt ($200/mo) Individual plans, no-extra-charge Teams workspaces, pay-as-you-go credits, and Enterprise.

OpenAI coding agent for app, editor, terminal, and cloud work

Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.

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.

Official debugger for MCP server development

MCP Inspector is the official interactive developer tool from the Model Context Protocol team for testing, debugging, and validating MCP servers. It provides a visual interface to inspect available tools, test transport configurations, export configs for different clients, and verify protocol compliance during MCP server development.

Real-time search API built for AI agents

Tavily is an AI-native search API that provides real-time web search, content extraction, and crawling capabilities specifically designed for LLM applications and autonomous agents. It returns structured, citation-ready results optimized for RAG workflows with built-in safety features including prompt injection protection and PII leak prevention. Acquired by Nebius in 2026, Tavily integrates with LangChain, LlamaIndex, and major agent frameworks, serving over one million developers worldwide.

Sentry-style observability for AI agent conversations

Latitude is an agent observability platform for teams that need to inspect LLM traces, conversations, issues, and evaluation feedback in one workflow. Its public repo and docs position it as a Sentry-style monitor for AI agents, with semantic search, issue detection, annotations, MCP-assisted fixes, and cloud or self-hosted deployment paths for production debugging.

Security scanner for MCP servers against tool poisoning attacks

MCP-Scan is a security tool that scans MCP servers for vulnerabilities including tool poisoning, prompt injection, cross-origin escalation, and rug pull attacks. Acquired by Snyk in 2026, it is the first dedicated security scanner for the MCP ecosystem. It analyzes tool descriptions, permissions, and behavior patterns to detect malicious or compromised MCP servers before they can exploit AI agents.

Official MCP server for GitHub repo operations

GitHub MCP Server is the official Model Context Protocol server from GitHub that connects AI assistants to repositories, issues, pull requests, workflows, and code search. It exposes 100+ operations with toolset filtering, permission scoping, and audit logging, available in both remote-hosted and self-hosted Docker deployment modes.

AI-powered code review

AI-powered code review tool that automatically analyzes pull requests and provides line-by-line feedback on code quality, bugs, security vulnerabilities, and best practices. Integrates with GitHub and GitLab as a bot that comments on PRs. Uses LLMs to understand code context and suggest improvements. Learns from your codebase patterns and team preferences. Supports all major programming languages. Reduces review cycle time while catching issues human reviewers might miss.

Up-to-date docs for AI code editors via MCP

Context7 is an MCP server developed by Upstash that injects up-to-date, version-specific documentation directly into AI code editors and coding assistants. By typing 'use context7' in prompts, developers get accurate library documentation instead of hallucinated or outdated API references. It pulls from official source documentation and serves it through the Model Context Protocol, solving the common problem of LLMs generating code with incorrect or nonexistent API calls.

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.

Zig-built headless browser engineered for AI agent workloads

Open-source headless browser written in Zig for AI agents, crawling, and automation. Lightpanda omits graphical rendering, keeps DOM and JavaScript execution, exposes CDP for Puppeteer/Playwright/chromedp, and adds Agent, PandaScript, and MCP workflows. Current public benchmarks claim about 9x faster execution and 16x less memory than Chrome.

Intelligent memory layer for AI agents and assistants

Mem0 is an open-source intelligent memory layer for AI agents with 51K+ GitHub stars providing persistent, adaptive memory across sessions. It manages working, short-term, and long-term memory types, enabling personalized AI experiences that improve over time. Features automatic memory extraction from conversations, semantic search over stored memories, multi-format support, and integration with 100+ frameworks. Simple API for adding memory to any LLM-powered application or agent.

Multi-agent orchestration plugin for Claude Code

Oh My ClaudeCode (OMC) is a plugin for Claude Code that adds multi-agent orchestration with 19 specialized agents, smart model routing between Haiku and Opus, and execution modes such as Autopilot, Team, Ralph, Ultrawork, and Deep Interview. It provides lifecycle hooks, a real-time HUD statusline, and source-backed Claude Code workflows that turn one session into a coordinated AI development team.

Open-source Docker gateway for containerized MCP server orchestration

Docker MCP Gateway is Docker's open-source orchestration layer for Model Context Protocol servers. It gives MCP clients one gateway, launches catalog servers in isolated containers on demand, injects credentials, applies runtime restrictions, and routes tool requests. Catalogs and profiles let teams reuse approved server collections across clients, while Docker Desktop can run the gateway automatically with MCP Toolkit enabled.

Secure cloud sandboxes for AI agents

E2B provides secure cloud sandboxes that let AI agents execute code, run terminal commands, and interact with filesystems in isolated environments. Each sandbox spins up in ~150ms with its own OS, giving agents a safe space to run untrusted code. Supports Python, JavaScript, and any language via custom Dockerfiles. Used by AI coding assistants, data analysis agents, and code interpreters. SDK available for Python and JavaScript with a simple API for programmatic sandbox control.

Apache-2.0 Python framework for building MCP servers, clients, apps, and deployable agent tool surfaces.

FastMCP is an Apache-2.0 Python framework for building MCP servers, clients, and apps with decorators, type hints, transports, auth patterns, deployment docs, and telemetry hooks. The project now resolves to PrefectHQ/fastmcp, with Prefect Horizon available as a separate enterprise MCP gateway for identity, RBAC, audit, monitoring, and server governance.

Open-source AI agent framework with persistent memory, reusable skills, tools, and messaging gateways

Hermes Agent is an open-source AI agent framework with persistent memory, reusable skills, 40+ tools, cron jobs, and messaging gateways.

Data framework for LLM applications

Leading Python framework for building LLM-powered applications with focus on data-aware and agentic workflows. Provides tools for RAG (Retrieval-Augmented Generation), document indexing, vector store integrations, query engines, and multi-agent orchestration. 150+ data connectors for various sources. Works with OpenAI, Anthropic, local models, and more. Includes LlamaHub for community tools and LlamaCloud for managed RAG pipelines. 50K+ GitHub stars.

LangChain CLI for maintaining agent-friendly codebase documentation

OpenWiki is LangChain’s open-source CLI for generating and maintaining an agent-focused wiki inside a codebase. It can create an openwiki/ documentation folder, update it from repository changes, add guidance to AGENTS.md or CLAUDE.md, and run via an interactive CLI or daily GitHub Action so coding agents have durable context without stuffing every detail into prompts.

Memory engine and context API for AI assistants

Supermemory is a memory and context platform for AI assistants and agents. It ranks #1 on LongMemEval, LoCoMo, and ConvoMem, supports MCP for Claude/Cursor-style clients, provides plugins for developer tools, and combines memory extraction, user profiles, hybrid search, connectors, and RAG in one API.

Build AI-powered web apps

Open-source TypeScript toolkit by Vercel for building AI-powered apps with streaming chat UIs, structured outputs, tool calling, and agent workflows. Framework-agnostic core with integrations for React, Next.js, Svelte, Vue, and Nuxt. Supports a broad AI SDK v6 provider catalog including OpenAI, Anthropic, Google, xAI, Mistral, Bedrock, Groq, and OpenAI-compatible providers. Includes useChat and useCompletion hooks for rapid UI development. The standard SDK for adding AI features to web apps.

Parallel coding agent orchestrator with autonomous CI handling

Agent Orchestrator manages fleets of parallel AI coding agents, each working in isolated git worktrees. It handles CI failures, code review comments, and pull request coordination while keeping humans involved for judgment calls. The current canonical repository is maintained under Untrivial AI.

Open-source sandboxes and SDKs for AI agents that control desktops

Open-source computer-use infrastructure for agents that need to drive desktop environments in the background. CUA includes Cua Driver, Sandbox, Run, Bench, and Verified Data across Linux, Windows, macOS, and Android, with MCP and CLI surfaces for screenshots, accessibility trees, keyboard/mouse actions, shell commands, task evaluation, and fleet execution.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Open workspace where people and AI agents build together

Buzz by Block is an open-source, self-hostable workspace where people and AI agents collaborate as visible members in shared rooms. It combines channels, threads, canvases, media, searchable history, signed identities, Git events, reviews, PR workflows, agent harnesses, and automations so engineering context and execution stay in one auditable project space.

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.

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.

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.

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.

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.

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.

AI-powered web browser automation with Playwright

Stagehand is an open-source browser-agent SDK from Browserbase that combines deterministic browser automation with AI primitives such as act(), extract(), observe(), and agent(). Instead of relying only on brittle selectors, developers can use natural-language actions, Zod-backed structured extraction, page observation, action caching, and Browserbase cloud-browser infrastructure for production web automation.

Agentic skills framework for disciplined coding-agent workflows

Superpowers is an MIT-licensed agentic skills framework and software-development methodology for coding agents. It packages repeatable workflows such as brainstorming, specs, implementation plans, TDD execution, subagent-driven development, and structured review so teams can move from ad hoc prompting to disciplined agent-assisted software delivery.

AI-driven task management for agentic coding

Taskmaster AI is an open-source task management system for AI-driven development that turns PRDs into structured, dependency-aware coding tasks. It runs as an MCP server inside Cursor, Claude Code, Windsurf, Lovable, and Roo, giving AI agents a disciplined workflow instead of ad-hoc code generation. Supports multiple AI providers with configurable main, research, and fallback models.