Best tools for Agentic Development

Low-code multi-agent framework with chat integrations

PraisonAI is an open-source low-code multi-agent framework with 6K+ GitHub stars for building AI agent teams through simple YAML configuration. Define agent roles, goals, and tools in YAML and PraisonAI handles orchestration. Features built-in integrations with WhatsApp, Telegram, Discord, and Slack for deploying conversational agents. Supports both CrewAI and AutoGen as backend orchestrators, RAG capabilities, and a web UI for monitoring agent interactions in real-time.

Open-source PII detection and anonymization for AI data flows

Presidio is an MIT-licensed privacy framework for identifying and anonymizing personally identifiable information in text, images, and structured data. It can act as a de-identification layer around LLM prompts, logs, RAG corpora, and customer-data workflows.

Build and evaluate LLM apps end-to-end

Prompt Flow is Microsoft's open-source development suite for building, testing, evaluating, and deploying LLM-based applications end-to-end. It links LLM calls, prompts, Python code, and other tools into executable flows defined in YAML, with a VS Code extension providing a visual flow designer. The tool supports tracing LLM interactions for debugging, running batch evaluations with quality metrics against larger datasets, and integrating tests into CI/CD pipelines before production deployment.

On-device hybrid search engine for your docs and notes

QMD is an on-device search engine built by Tobi Lütke (Shopify CEO) that indexes markdown notes, meeting transcripts, and documentation locally. It combines BM25 full-text search, vector semantic search, and LLM-powered re-ranking into a single hybrid pipeline. Ships with a built-in MCP server for seamless integration with Claude Code, Cursor, and other AI editors. All processing happens on your machine via node-llama-cpp with GGUF models — zero cloud dependency.

Production RAG engine with hybrid search and knowledge graphs

R2R is a production-grade RAG engine from SciPhi AI that combines hybrid search with knowledge graph extraction and agentic retrieval capabilities. It provides a complete pipeline from document ingestion through retrieval and generation, supporting vector, keyword, and graph-based search strategies. The managed API and self-hosted options make it accessible for both rapid prototyping and production deployments requiring advanced retrieval beyond simple vector similarity.

All-in-one multimodal RAG framework

RAG-Anything is an all-in-one multimodal RAG framework from the University of Hong Kong that processes text, images, tables, and equations through a unified pipeline built on LightRAG. It constructs multi-modal knowledge graphs by extracting multimodal entities and establishing cross-modal relationships. The VLM-Enhanced Query mode integrates visual content into large language models for deeper document understanding beyond plain text retrieval.

Deep document understanding RAG engine

RAGFlow is an open-source RAG engine with 76K+ GitHub stars that provides deep document understanding for building knowledge-based AI applications. Optimizes chunking for 20+ document types including PDFs, Word docs, presentations, and images using layout-aware parsing. Features template-based chunking strategies, citation with source references, multi-recall retrieval combining keyword and semantic search, and a visual knowledge base management interface with drag-and-drop document upload.

Version control for AI coding-agent actions

Re_gent is an open-source version-control layer for AI coding-agent activity. Instead of only reviewing the final Git diff, it records what the agent attempted, changed, and executed along the way so teams can trace, undo, and govern autonomous coding work. It fits Claude Code, Codex, Cursor, and multi-agent teams that need an audit trail between prompt and pull request.

DeepSeek-native terminal coding agent with a Go rewrite and MCP support

Reasonix is an open-source terminal coding agent built around DeepSeek workflows, with a newer Go-based 1.0 line, MCP integration, repository-aware code understanding, and BYOK model usage. It fits developers who want a DeepSeek-first CLI agent rather than a Claude- or OpenAI-native workflow.

Cursor for business workflow automation

Rebolt is a Y Combinator W25 company marketed as Cursor for business workflow automation, focusing on generating the business logic and internal UIs needed for complex company operations. It targets the internal tooling problem with an agentic automation approach, helping teams build custom workflow applications that connect existing business systems without traditional development cycles.

Durable execution engine for workflows and AI agents

Restate is a durable execution engine that provides reliable workflow orchestration for AI agents and backend services. It runs as a single binary with no external dependencies, delivering sub-50ms latency and 94K+ actions per second. Supports TypeScript, Python, Go, Java, and Kotlin SDKs with built-in retries, sagas, and virtual object state. MIT licensed with 3,700+ GitHub stars.

Build modular, scalable LLM applications in Rust

Open-source Rust library for building scalable, modular, and ergonomic LLM-powered applications. Rig unifies 20+ model providers (OpenAI, Anthropic, Mistral, DeepSeek, Ollama, and more) and 10+ vector stores behind one trait-based interface, supports completion and embedding workflows, multi-turn streaming, and transcription/audio/image generation, with full GenAI Semantic Convention compatibility and WASM-ready core library — production agentic infra for Rust teams.

Visual AI agent builder by Ironclad

Rivet is an open-source visual AI programming environment and TypeScript library by Ironclad for building, debugging, and deploying AI agents through a node-based graph editor. Complex LLM prompt chains become visual networks with real-time data flow inspection at every node, team collaboration on agent graphs, and a TypeScript library for embedding finished graphs in any application. Transforms agent development from text-editing into visual engineering.

Agentic AI for software teams by Atlassian

AI-powered coding agent from Atlassian, deeply integrated with Jira, Bitbucket, and Confluence so it can validate code changes against acceptance criteria and plan multi-step development workflows aligned with team goals. Achieved 41.98% on SWE-bench full leaderboard at release. Available as both CLI and IDE integration, connecting project management and development within the Atlassian ecosystem.

Open-source AI coworker with persistent memory and tool use

Rowboat is an open-source AI coworker platform that provides persistent memory, tool use, and multi-agent orchestration in a chat-based interface. It enables teams to build AI assistants that remember context across sessions, access internal tools and databases, and coordinate specialized sub-agents for complex workflows. Over 9,300 GitHub stars.

Benchmark for evaluating AI coding agents on real GitHub issues

SWE-bench is a benchmark from Princeton NLP that evaluates AI coding agents by testing their ability to resolve real GitHub issues from popular open-source projects. Each task provides an issue description and repository state, and the agent must produce a working patch that passes the project's test suite. With 4,600+ GitHub stars, it has become the standard yardstick for comparing autonomous coding tools like Devin, Claude Code, and OpenHands.

Apple's Safari-native MCP server for web debugging agents

Safari MCP Server is Apple's safaridriver-based MCP server in Safari Technology Preview, giving compatible coding agents local access to Safari page content, console logs, network requests, screenshots, JavaScript evaluation, interactions, viewport controls, and accessibility/performance checks.

Multi-agent model API that orchestrates frontier models behind one OpenAI-compatible endpoint

Sakana Fugu is a hosted model-provider API that exposes a learned multi-agent system as one OpenAI-compatible model. It dynamically routes coding, code review, research, and reasoning tasks across a frontier-model pool, with Fugu for lower-latency work and Fugu Ultra for harder workloads where answer quality matters more than cost or speed.

Parallel coding agent environment by Imbue for complex projects

Sculptor by Imbue is a parallel coding agent environment that enables multiple AI agents to work simultaneously on different parts of a codebase. It provides sandboxed execution environments where agents can write, test, and iterate on code independently before merging changes. Designed for large-scale software projects where single-agent approaches hit context and coordination limits.

AI-native state store with hybrid vector and full-text search

SeekDB is an open-source AI-native state store from the OceanBase ecosystem that combines MySQL-compatible data access with hybrid vector and full-text retrieval. It targets agent and AI application teams that need embedded or server deployment, copy-on-write style sandboxes, and searchable state without gluing together several separate storage layers.

Microsoft's AI orchestration SDK for .NET, Python, and Java

Microsoft's open-source AI SDK that lets you combine AI models with conventional programming. Supports plugins, planners, memory, and function calling with availability for .NET, Python, and Java. Designed for enterprise developers building AI-powered applications within the Microsoft ecosystem, offering deep integration with Azure AI services and existing business logic.

Visual agent builder with 1000+ integrations

Sim is an open-source platform for building, deploying, and orchestrating AI agents with a visual workflow editor. Connects 1,000+ integrations and LLMs with drag-and-drop canvas design, AI-assisted Copilot for generating nodes from natural language, and built-in knowledge base for RAG. Trusted by 100K+ builders. Includes 11 pre-built workflow templates for quick deployment.

Package manager for MCP servers and agent skills

Smithery is a CLI tool and registry for discovering, installing, and managing MCP servers and agent skills. It lets developers search thousands of available servers, install them with one command, inspect available tools, and connect their AI coding agents to external capabilities through the Model Context Protocol standard.

Hugging Face's lightweight agent framework

smolagents is Hugging Face's lightweight agent framework for building AI agents that can use tools, write and execute code, and collaborate in multi-agent setups. Designed for simplicity with minimal abstractions — agents are just LLMs that write Python code to orchestrate tool calls rather than using JSON-based function calling. Supports any LLM provider, integrates with Hugging Face Hub for sharing tools and agents, and runs with as few as 1,000 lines of core library code.

Self-hosted code understanding for humans and agents

Sourcebot is a self-hosted code intelligence platform that helps developers and AI agents understand large codebases through intelligent search, navigation, and inline-cited answers. Deployed as a Docker container with MCP server support, it indexes thousands of repositories without source code leaving your infrastructure.

Toolkit for spec-driven development with AI

GitHub's official toolkit for spec-driven development. Write specifications in natural language and let AI coding agents implement them with structure, consistency, and traceability. Bridges the gap between product requirements and AI-generated code by providing a standardized format that agents can follow reliably across complex projects.

Session reports for Claude Code and Codex runs

Spotlight by Backplanes turns completed Claude Code and Codex sessions into concise reports for engineering, security, and spend review. The CLI installs on macOS, Linux, or WSL 2, watches sessions after they finish, redacts PII and credentials locally before upload, then summarizes files touched, commands run, external domains reached, scope drift, risky actions, and next-session improvements.

Alibaba's Spring framework for building AI applications in Java

Spring AI Alibaba is Alibaba's open-source framework that brings AI capabilities to Java Spring Boot applications. It provides auto-configuration for AI model providers, RAG pipeline components, agent frameworks, and tool integration following Spring conventions. With 9,100 GitHub stars and 220+ contributors, it is the most mature AI framework for Java enterprise developers building production AI features.

State-machine guardrails for controlling which tools AI coding agents can use at each phase.

Statewright is a guardrail layer for AI coding agents that uses explicit state machines to control what an agent can do at each stage of a workflow. Instead of relying only on prompt instructions, teams can model phases such as plan, implement, test, and review, then constrain tool access for clients like Claude Code, Codex, Cursor, opencode, and related MCP workflows.

Open-source browser infrastructure for AI agents at scale

Steel is an open-source browser API purpose-built for AI agents, providing managed headless browser sessions with anti-bot bypass, proxy rotation, CAPTCHA solving, and session persistence. It handles the infrastructure layer that browser automation agents like Browser Use and Stagehand run on top of. Self-hostable or available as a cloud service. Over 6,000 GitHub stars.

AWS open-source SDK for building model-driven AI agents

Strands Agents is an open-source SDK from AWS that takes a model-driven approach to building AI agents. Developers define a prompt, model, and tools, and the LLM handles planning and orchestration autonomously. Supports Amazon Bedrock, Anthropic, OpenAI, Gemini, Ollama, and more. Powers Amazon Q Developer and AWS Glue in production. Available in Python and TypeScript with native MCP support.

Open-source generalist AI agent for browser and code tasks

Suna is an open-source generalist AI agent that can autonomously browse the web, write and execute code, manage files, and interact with external services. It features a real-time browser automation engine, an isolated code execution sandbox, and integrations with popular APIs. Designed as an open-source alternative to commercial AI agent platforms. Over 9,000 GitHub stars with rapid community growth.

Open-source Firecracker sandboxes for long-running AI agents

Superserve is an open-source sandbox infrastructure layer for AI agents that need durable computers instead of short-lived shells. It runs isolated Firecracker microVMs, supports pause, resume, snapshot, fork, preview URLs, MCP connectivity, SDK/API control, Docker workloads, and self-hosting, while the hosted service adds pay-as-you-go agent sandboxes for teams.

Multi-agent orchestration with 10+ swarm patterns

Swarms is an enterprise-grade multi-agent orchestration framework with 6,100+ GitHub stars that provides 10+ swarm patterns including sequential, concurrent, hierarchical, mixture-of-agents, and graph-based workflows. The SwarmRouter lets teams switch between orchestration strategies by changing a single parameter. It supports MCP for tool integration, multi-model providers via Anthropic, OpenAI, and local models, and includes an AutoSwarmBuilder that generates agents from task descriptions.

Open-source GUI for managing AI coding agents with your own API keys

Unified desktop interface for Codex and Claude Code with a model selector dropdown. Features a git-integrated sidebar, parallel task and thread management, chat and plan modes, and customizable agent access levels. Run via desktop app or npx for instant access. Brings visual project management to terminal-based AI coding agents without sacrificing their command-line power.

Mozilla-backed browser infrastructure for AI agents

Tabstack is Mozilla's browser infrastructure service for AI agents, providing clean markdown extraction, structured JSON data, and automated browser actions through a fast API. With two-tier fetch escalation that achieves sub-600ms latency for static pages, robots.txt compliance, and ephemeral data handling, it offers an ethical alternative to aggressive web scraping tools — complete with an MCP server for Claude and Cursor integration.

Code-first agent framework for data analytics tasks

TaskWeaver is Microsoft's open-source code-first agent framework that converts natural language requests into executable Python code for data analytics and workflow automation. Unlike text-based agent frameworks, it preserves rich in-memory data structures like DataFrames across conversation turns, supports custom algorithm plugins as callable functions, and verifies generated code before execution. It includes a Planner for task decomposition and a Code Interpreter for generation and execution.

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.

Tool infrastructure for AI agents

Cloud platform providing optimized tools for AI agents with a universal SDK for Python and TypeScript. Works with any LLM provider and enables one-line tool integration. Handles authentication, rate limiting, and caching for external APIs so agent developers can focus on logic rather than plumbing, dramatically reducing the boilerplate needed for production agents.

Plan-first AI coding agent that designs before implementing

Traycer is a YC-backed AI coding agent that takes a plan-first approach to software development. It creates detailed implementation plans with architectural decisions and dependency analysis before writing code. The agent reasons about project structure and constraints to produce coherent, well-organized changes rather than incremental patches. Focused on reducing rework from poorly planned AI-generated code.

Agentic AI security posture management

Trent AI is a specialized security platform for agentic AI applications providing AI Security Posture Management that compounds with every development cycle. Scans, judges, mitigates, and evaluates AI agent security detecting threats traditional tools miss including prompt injection attacks, tool misuse, unintended autonomous actions, data exfiltration through agent chains, and privilege escalation. Offers continuous assessment with remediation plan execution through Claude Code.

Autonomous coding agents that ship while you sleep

Twill is an autonomous coding agent platform that implements features, fixes bugs, and ships pull requests without manual intervention. Uses structured workflow of research, planning, human review, implementation in isolated sandbox, AI code review, then merge. Supports custom agent configurations with multiple LLM providers, isolated dev environments for verification, and integrations with GitHub, Linear, Sentry, Notion, and cloud platforms for end-to-end engineering automation.

ByteDance's open-source multimodal desktop agent with vision-based GUI automation

UI-TARS Desktop is ByteDance's open-source multimodal AI agent that automates desktop and browser interactions using computer vision rather than DOM selectors or accessibility APIs. Powered by the UI-TARS vision model, it can understand and operate any graphical interface by looking at screenshots, making it capable of automating applications that traditional browser automation tools cannot reach, including native desktop apps and complex web UIs.

MCP-native personal context vault for keeping AI agents aligned with your work, voice, and projects.

Unabyss is a personal context headquarters for AI agents. It syncs sources such as email, Slack, Notion, Drive, meetings, and professional profiles into structured context files that can be served to MCP-capable clients. The strongest angle is not generic note taking; it is permissioned, reusable context for Claude, Cursor, custom agents, and other tools that otherwise need the same background explained repeatedly.

Agent framework with native MCP server support

Upsonic is an agent framework designed for building reliable AI agents with native Model Context Protocol (MCP) server support. It provides structured task execution, tool calling orchestration, and built-in reliability patterns for production agent deployments. Features include automatic error recovery, structured output validation, and seamless integration with MCP-compatible tools and data sources for enterprise agentic workflows.

TypeScript-first AI agent framework with built-in observability

VoltAgent is an open-source TypeScript AI agent framework with built-in observability, RAG support, memory management, and MCP integration. It provides a structured approach to building production AI agents in the Node.js ecosystem with agent debugging tools, sub-agent orchestration, and tool management. Over 7,000 GitHub stars and 150K+ weekly npm downloads.

Cut Claude Code token costs by up to 50% with a local plugin that never uploads your code.

WOZCODE is a Claude Code plugin that reduces token consumption by 25–55% using smarter context reads, batched file edits, AST truncation, and Haiku subagents. It installs in seconds with two CLI commands, runs entirely locally with no code upload, and requires no account sign-up. Developers report finishing the same tasks in fewer tokens without changing their existing editor or workflow.

High-performance WebAssembly runtime for cloud and AI

WasmEdge is a CNCF sandbox WebAssembly runtime optimized for cloud-native, edge, and AI workloads. It provides a lightweight, secure, and portable execution environment that is faster than containers and safer than native processes. WasmEdge supports LLM inference via LlamaEdge, serverless functions, microservices, and plugin extensions for networking, AI, and cryptography across Linux, macOS, and Windows.