# Agentic

Multi-provider AI coding assistant with BYOK model access

CodeGPT is an AI coding assistant for VS Code and JetBrains IDEs that connects to multiple AI providers including OpenAI, Anthropic, Google, Mistral, and local models via Ollama using your own API keys. It offers code generation, explanation, refactoring, documentation writing, bug detection, and an agent marketplace with pre-built assistants for common tasks. The BYOK approach gives developers full cost control, no rate limits, and complete data ownership over their AI interactions.

Multi-agent terminal coding assistant

Codebuff is an open-source AI coding assistant that operates from the terminal, editing your codebase through natural language instructions while understanding project structure, dependencies, and patterns. Uses multi-agent architecture with specialized File Explorer, Planner, and execution agents for precise code modifications across files. Editor-agnostic via terminal-level operation. Supports any OpenRouter model including Claude, GPT, DeepSeek, and Qwen.

AI reviewer that catches hallucinations in generated code

Codoki is a specialized AI code reviewer focused on catching hallucinations in code generated by autonomous agents like Devin and Claude Code. It validates that AI-proposed code actually functions according to provided requirements, serving as a critical safety layer for teams where AI agents generate a significant portion of the codebase and human review capacity cannot keep pace with generation speed.

Workflow orchestration engine

Netflix-originated workflow orchestration platform with JSON and code-based workflow definitions, human-in-the-loop support, and AI agent orchestration capabilities. With 18k+ GitHub stars, Conductor handles complex distributed workflows at massive scale, offering built-in retry logic, event-driven triggers, and visual workflow monitoring for microservice coordination.

Run a team of AI coding agents in parallel on your Mac

Web-based dashboard for monitoring and managing multiple AI coding agent sessions. Provides real-time visibility into what each agent is doing, resource consumption, and task progress across your team. Centralizes agent management so team leads can assign work, review outputs, and track productivity across multiple concurrent AI-assisted development workflows from a single interface.

The 5MB open-source agent daemon that hides nothing

CrabTalk is a lightweight five-megabyte daemon that streams every AI agent event to your client in real time including text deltas, tool calls, and thinking steps. It provides complete transparency into agent operations with one-curl installation and bring-your-own-model support. Designed as the observable alternative to opaque agent runtimes where you cannot see what the AI is actually doing.

OpenAI's custom chatbot builder and GPT Store

Create personalized GPT assistants with custom instructions, knowledge files, and tool integrations including browsing, DALL-E, and code interpreter. Publish to the GPT Store or keep private with no coding required. Enables anyone to build specialized AI assistants for specific domains, workflows, or audiences using OpenAI's consumer-friendly builder interface.

ByteDance's open-source agentic workflow platform

DeerFlow is ByteDance's open-source agentic workflow platform that combines LLM-powered agents with deep research capabilities. It features multi-agent orchestration, web research automation, report generation, and podcast creation from research outputs. Built with LangGraph, it supports configurable LLM backends and provides a modern React-based UI for managing complex AI-driven research and content workflows.

Open-source IDE for Java and enterprise development

Long-standing open-source IDE primarily for Java development, backed by the Eclipse Foundation. Features powerful Java tooling with refactoring, debugging, JUnit integration, and Maven/Gradle support. Extensible via a massive plugin marketplace covering C/C++, Python, PHP, and web development. Includes built-in Git support, terminal, and XML/JSON editors. Used extensively in enterprise Java, Android (legacy), and embedded systems development. Free and cross-platform.

AI-powered DAST platform specializing in API and GraphQL security

Escape is an AI-powered dynamic application security testing platform focused on API security including REST, GraphQL, and gRPC endpoints. It automatically discovers and tests API endpoints for vulnerabilities without requiring source code access. Features business logic testing that goes beyond OWASP patterns, CI/CD integration for shift-left security, and detailed remediation guidance for developers.

Google's AI-powered cloud IDE for full-stack app development

Firebase Studio is Google's cloud-based development environment that integrates Gemini AI for building, testing, and deploying full-stack applications. It provides browser-based coding with AI assistance for code generation, debugging, and database design. Connects natively with Firebase services including Firestore, Authentication, Cloud Functions, and Hosting for seamless deployment.

AI-powered resilient mobile test flows

GPT Driver is a mobile app QA tool that uses generative AI to create resilient test flows with self-healing capabilities and broad framework support for cross-platform applications. It leverages AI to handle the non-deterministic nature of mobile UI where elements shift between releases, generating tests that adapt to layout changes rather than breaking on every app update.

Meta-prompting and context engineering system for Claude Code agents

GSD is a meta-prompting, context engineering, and spec-driven development system designed for Claude Code and compatible AI coding agents. With over 46,000 GitHub stars, it implements a structured four-phase workflow of Discuss, Plan, Execute, and Verify to combat context rot in long AI coding sessions. The system uses multi-agent orchestration with persistent file-based memory.

MCP server directory and gateway

AI gateway and model management platform that provides a unified API for accessing multiple LLM providers (OpenAI, Anthropic, Google, Mistral, and more) through a single endpoint. Features model routing, cost tracking, usage analytics, rate limiting, and API key management across providers. Simplifies multi-provider AI integration by handling authentication, billing, and failover in one place. Useful for teams evaluating multiple models or building provider-agnostic AI applications.

Agent Development Kit by Google

Google's open-source framework for building AI agents with Gemini models. Supports multi-agent orchestration, tool use, and deployment to Vertex AI or Cloud Run. Provides a structured approach to agent development with built-in evaluation, testing, and monitoring capabilities, making it the official path for teams building agent systems within the Google Cloud ecosystem.

NLP and RAG pipeline framework by deepset

Haystack is an open-source AI orchestration framework by deepset for building production-ready LLM applications with explicit control over retrieval, routing, memory, and generation pipelines. Its component-based architecture lets developers chain specialized pieces into branching, looping pipelines for semantic search, RAG, QA, and autonomous agents. Integrates with OpenAI, Anthropic, Mistral, Cohere, Hugging Face, Azure, AWS Bedrock, and major vector stores.

Professional IDEs with Junie AI coding agent

JetBrains is a software development company that produces a family of language-specific IDEs built on the IntelliJ platform — IntelliJ IDEA (Java/Kotlin), PyCharm (Python), WebStorm (JS/TS), PhpStorm, RubyMine, GoLand, Rider (.NET), and CLion (C/C++). Each IDE provides deep, language-aware tooling: smart refactoring, static analysis, test runners, debuggers, and first-class AI Assistant and Junie coding agent integration.

Open-source post-building layer for agents — tracing, evals, and online monitoring

Judgeval is the open-source post-building layer for AI agents from Judgment Labs, providing OpenTelemetry-based tracing, hosted and custom evaluation scorers, and online behavior monitoring for LLM-powered applications. Instrument any function with a single decorator, score live production traffic against faithfulness and instruction-adherence checks, and feed real-world failures back into reinforcement learning or supervised fine-tuning loops.

Kotlin-native AI agent framework by JetBrains with MCP support

Koog is JetBrains official Kotlin-native framework for building predictable, fault-tolerant AI agents. It provides structured agent workflows with MCP protocol support, type-safe tool definitions, and deterministic execution patterns designed for JVM production environments. As the first production-grade Kotlin agent framework, it fills the gap in a JVM ecosystem dominated by Python-based alternatives and integrates naturally with existing Kotlin and Java backend infrastructure.

GenAI-powered test agent with natural language test authoring

KaneAI is LambdaTest's GenAI-powered test automation agent that creates, evolves, and debugs tests from natural language descriptions. It generates test scripts in multiple frameworks including Selenium, Playwright, and Cypress from plain English instructions. Features intelligent test maintenance that automatically updates tests when application UI changes and two-way editing between natural language and code.

Visual framework for building multi-agent AI apps

LangFlow is an open-source visual framework for building multi-agent AI apps with drag-and-drop. Built on LangChain, it lets developers compose chains, agents, and RAG pipelines by connecting modular components visually. Features real-time interaction, Python customization, one-click deployment, and export to LangChain code. Supports all major LLM providers, vector stores, and tools. With 146K+ GitHub stars, it bridges visual prototyping and production deployment.

Multi-agent programming framework inspired by the Actor model

Langroid is a lightweight Python framework from CMU and UW-Madison researchers for building LLM applications using a multi-agent programming paradigm inspired by the Actor Framework. Agents are first-class citizens that encapsulate LLM state, vector stores, and tools, then collaborate via message passing through hierarchical task delegation. With 3,900+ GitHub stars, Langroid works with any LLM provider and does not depend on LangChain or other frameworks.

Twelve-lesson curriculum for building AI coding agents from scratch

Learn Claude Code is a comprehensive educational framework with 12 structured lessons teaching AI coding agent construction from first principles. With over 46,000 GitHub stars and 7,000 forks, it provides complete runnable Python implementations progressing from a 50-line bash agent to a 550-line skills agent with modular extensibility and subagent orchestration.

Memory-first coding agent that learns over time

Letta Code is a memory-first CLI coding agent that persists across sessions and improves over time. Unlike stateless tools like Claude Code or Codex, it works with long-lived agents remembering your codebase, preferences, and past interactions. Model-agnostic supporting Claude, GPT, Gemini, and more. Features git-backed context repositories, skill learning from experience, sleep-time reflection, and subagent orchestration. #1 model-agnostic OSS harness on Terminal-Bench.

Anthropic's open standard for connecting AI models to tools and data

Model Context Protocol (MCP) is Anthropic's open standard that defines how AI models communicate with external tools, resources, and data sources. Provides a universal client-server architecture for connecting LLMs to any API or service through standardized tool definitions, resource access, and prompt templates. Rapidly adopted across the AI industry as the interoperability standard for AI tool integration.

Community MCP server registry

Community-curated directory of Model Context Protocol (MCP) servers that extend AI assistants like Claude with real-world capabilities — file access, database queries, API integrations, browser control, and more. Lists servers organized by category (developer tools, data, productivity) with installation instructions and compatibility info. Helps developers discover and connect MCP servers to their AI workflows. Essential resource for the growing MCP ecosystem.

Self-hosted MCP gateway for managing multiple servers behind a single endpoint

MCPJungle is a self-hosted gateway that aggregates multiple MCP servers behind a single endpoint. It provides server discovery, health checking, access control, and request routing so AI clients connect to one gateway rather than managing individual server connections. Supports server grouping, authentication, and monitoring dashboards for production MCP deployments.

Run and fine-tune Vision Language Models locally on Mac

Open-source Python package for running and fine-tuning Vision Language Models locally on Mac using Apple's MLX framework. Supports multimodal inference with images, audio, and video across Qwen, DeepSeek, Phi, and Gemma architectures. Features OpenAI-compatible API server, Gradio chat UI, and KV cache optimization. 3.8K+ GitHub stars.

Single-file memory layer replacing complex RAG for AI agents

Memvid is an open-source single-file memory system for AI agents with 13,700+ GitHub stars. It replaces complex RAG infrastructure with instant retrieval from portable .mv2 files, claiming 35% accuracy improvement over state-of-the-art on LoCoMo benchmarks with 0.025ms P50 latency. Available for Python, Node.js, Rust, and CLI.

AI coding assistant with full codebase understanding

Open-source AI coding assistant that runs in your terminal, letting developers chat naturally with an LLM that has full project context. Mentat coordinates multi-file edits across entire codebases — refactoring, feature implementation, bug fixing — with Git integration for review and revert. Requires GPT-4 API access, installs via pip; eliminates copy-paste friction of web AI tools.

Multi-agent framework simulating a software company

MetaGPT is an open-source multi-agent framework with 56K+ GitHub stars that simulates a software company by assigning roles — product manager, architect, engineer, QA — to AI agents collaborating through structured SOPs. Given a one-line requirement, it outputs user stories, competitive analysis, data structures, APIs, and working code. Features incremental development, human feedback integration, and experience-based learning for continuous improvement across iterations.

AI-powered vision-driven UI automation for web, Android, and iOS

Midscene.js is an open-source UI automation framework from ByteDance's Web Infra team that uses vision-based AI models to understand and interact with interfaces. It replaces fragile CSS selectors with natural language descriptions, supporting web browsers via Playwright and Puppeteer, Android via ADB, and iOS via WebDriverAgent from a unified JavaScript SDK.

Open-source dashboard for AI agent orchestration

An open-source dashboard for managing AI agent fleets. Dispatch tasks, monitor progress, and orchestrate multiple agents working in parallel on your codebase. Provides real-time visibility into agent activity, error tracking, and resource allocation so teams can scale autonomous coding workflows with confidence.

Terminal-native coding agent by Mistral AI

Mistral Vibe is a native CLI coding agent from Mistral AI, powered by their Devstral coding model, that runs directly in the terminal with deep project awareness including automatic file structure scanning and Git status integration. Released December 2025 alongside Devstral 2, it features smart @-file references, shell command execution, and conversational workflows. Mistral's entry into the agentic CLI coding market alongside Claude Code and OpenCode.

YC-backed multimodal RAG platform for documents, images, and video

Morphik is a YC-backed multimodal RAG platform that ingests and retrieves information from documents, images, tables, and video content. It processes complex document layouts including charts, diagrams, and multi-column formats that traditional text-only RAG systems handle poorly. Provides API-first integration for building knowledge bases that understand visual as well as textual information.

Open-source platform for managing AI coding agents as teammates

Multica is an open-source managed agents platform that lets you assign coding tasks to AI agents like Claude Code and Codex as if they were team members. It provides a unified dashboard for task assignment, execution monitoring, and skill reuse across local and cloud compute environments. With multi-workspace support, team-level isolation, and reusable skill compounding, Multica turns autonomous coding agents into organized, trackable development resources.

Framework for converting MCP servers into autonomous AI agents with UI

Nanobot transforms MCP servers into full autonomous agents by adding a planning layer, conversation memory, and web-based UI on top of MCP tool capabilities. It enables building agents that combine multiple MCP servers with LLM reasoning to complete multi-step tasks. Features MCP-UI for browser-based interaction and supports any MCP-compatible tools as agent capabilities.

AI coding agent with hash-anchored edits, LSP, subagents, and browser tools

AI-powered code migration tool that automates framework upgrades, language migrations, and API version transitions. Analyzes your codebase to generate migration plans, then applies changes systematically across affected files. Reduces the risk and effort of major upgrades by handling the tedious, error-prone aspects of codebase-wide transformations that would take developers weeks to complete manually.

Microsoft's screen parsing model for GUI agent interaction

OmniParser is Microsoft's open-source screen parsing toolkit that converts GUI screenshots into structured, actionable data for AI agents. It detects interactive UI elements like buttons, input fields, and icons, then generates grounded descriptions that enable language models to interact with any desktop or web application. Accumulated over 24,000 GitHub stars as a foundational layer for computer-use agents.

Lightweight multi-agent handoff framework by OpenAI

OpenAI Swarm is an experimental lightweight framework for building multi-agent systems with handoff patterns. Agents are defined as simple Python functions with instructions and tool lists, and can hand off conversations to other specialized agents. Designed to be minimal and educational rather than production-ready — demonstrates patterns for agent coordination without heavy abstractions. Runs on OpenAI's Chat Completions API with function calling for tool use and agent transitions.

Linux Foundation fork of HashiCorp Vault for secrets management

OpenBao is the Linux Foundation's community-driven fork of HashiCorp Vault created after Vault's license change from open-source to BSL. It provides secrets management, encryption as a service, dynamic credentials, and PKI certificate management. Maintains API compatibility with Vault while developing under truly open-source governance with over 5,700 GitHub stars.

Vectorless, reasoning-based RAG that reads documents like a human expert — no vector DB, no chunking.

PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes from long documents and uses LLMs to navigate them like a human expert would. Instead of chunking text and comparing embeddings, it constructs a table-of-contents-style structure and reasons its way to the right sections — no vector database required. Available as an open-source Python package, cloud API, MCP server, and chat platform.

Run Claude Code, Codex, and Gemini agents in parallel with isolated branches

Open-source desktop app for orchestrating multiple AI coding agents simultaneously. Auto-creates git worktrees per agent and symlinks shared dependencies to prevent conflicts between parallel tasks. Designed for teams and power users who want to run several AI agents on different features or bugs at the same time, maximizing throughput while keeping each agent's changes cleanly isolated.

Open-source AI code editor (VS Code fork)

Community-driven AI code assistant that runs in VS Code with full local model support. Autocomplete, chat, and inline editing powered by your choice of cloud or local LLMs. Fully open-source with 25k+ GitHub stars, Continue is popular among privacy-conscious developers who want IDE-integrated AI assistance without vendor lock-in or data sharing.

Open-source framework for real-time voice and multimodal AI agents

Pipecat is an open-source framework with 11,000+ GitHub stars for building real-time voice and multimodal AI agents. Developed by Daily.co, it manages the STT to LLM to TTS pipeline with sub-second latency, integrating with AWS Bedrock, NVIDIA NIM, and AssemblyAI for production-grade voice agent deployment.

Connect 2,800+ APIs for workflows and AI agents

Pipedream is a developer-focused workflow automation platform that connects over 2,800 APIs with managed OAuth and credential handling, letting teams build integrations using Node.js, Python, Go, or Bash alongside a visual no-code builder. Its MCP server exposes 10,000+ pre-built tools to AI agents for direct API access through LangChain, CrewAI, and other frameworks. Pipedream is SOC 2 Type II and HIPAA compliant with credit-based pricing starting at a free tier of 100 credits per month.

Open-source AI coding agent for large projects and real-world tasks

Terminal-based coding engine that breaks complex tasks into subtasks with support for 2M token context windows, diff review sandboxes, and both autonomous and manual modes. Multi-model pipelines work with Anthropic, OpenAI, and Google. With 15k+ GitHub stars, Plandex is a mature open-source option for developers tackling large, multi-step development tasks from the command line.

Microsoft's MCP server for structured browser automation by AI agents

Playwright MCP is Microsoft's Model Context Protocol server that enables AI agents to automate web browsers through structured tool calls. It exposes Playwright's browser automation capabilities as MCP tools for navigation, clicks, forms, extraction, and screenshots. The Microsoft-maintained repo has 30K+ GitHub stars and is a durable default for structured browser interaction in agent workflows.