82 tools tagged
Showing 24 of 82 tools
The AI-first code editor
AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.
Anthropic's frontier AI assistant
Anthropic's AI assistant known for strong reasoning, nuanced writing, and extended context up to 200K tokens. Available in Opus (most capable), Sonnet (balanced), and Haiku (fast) tiers. Features web search, deep research, file analysis, code execution, artifacts, and Projects for organized workflows. Claude Code provides terminal-based agentic coding. API supports tool use, batch processing, and prompt caching. Available via claude.ai, mobile apps, and developer API.
Open-source agentic development environment for parallel AI agents
Emdash is a modern content and digital asset management tool designed to help writers, content teams, and publishers organize, write, edit, and manage their content workflows in a streamlined, distraction-free environment. It replaces scattered content across documents, folders, and tools with a unified workspace where teams draft, review, collaborate, and publish written content, prioritizing the craft of writing.
Minimal terminal coding harness
Pi is an open-source minimalist coding agent built by Mario Zechner that runs in the terminal with an intentionally lean design — just four core tools (read, write, edit, bash) and a ~300-word system prompt. It treats the context window as scarce, omits sub-agents and MCP by default, and pushes extensibility to TypeScript extensions, skills, and prompt templates developers build for their own needs. A radical counterpoint to bloated AI coding tools.
Enterprise-grade AI coding agent system by Factory
System of specialized AI Droids — Code, Knowledge, Reliability, and Product — each optimized for specific development tasks. Ranked #1 on Terminal-Bench with 58.75% score. BYOK model with support for Anthropic and OpenAI models. Enterprise-focused approach that treats AI coding as a team of specialized agents rather than a single general-purpose assistant.
Open-source AI coding agent for the terminal
Open-source terminal-based AI coding agent built in Go by the SST team, with a rich TUI (Bubble Tea) supporting 75+ model providers including OpenAI, Anthropic, Gemini, Bedrock, Groq, and OpenRouter. Features vim-like editing, persistent SQLite sessions, and LSP integration for 40+ languages. Fully free with no vendor lock-in, it has rapidly grown to 95k+ GitHub stars.
Agentic coding tool by Sourcegraph (formerly Cody)
Frontier coding agent from Sourcegraph that runs in the terminal and as IDE extensions for VS Code, Cursor, Windsurf, and JetBrains. Amp wields the strongest available models — Claude, GPT, and Gemini frontier tiers — with no token caps or context window throttling. Built around full-fidelity tool use, multi-file edits, oracle-style planning subagents, and team-shared threads. Token-based pricing with no subscription tier; pay only for the model usage you trigger.
One desktop app for every LLM — private, cross-platform, extensible
Chatbox is a cross-platform desktop AI client supporting OpenAI, Claude, Gemini, DeepSeek, and local models via Ollama. All chat data stays on-device, making it ideal for privacy-conscious developers. Features include document analysis, code assistance with syntax highlighting, image generation, web search, and a local knowledge base for private Q&A. Available on Windows, macOS, Linux, Android, iOS, and web.
Modular AI prompt framework for everyday tasks
Fabric is an open-source framework that organizes AI prompts into reusable patterns for solving everyday tasks like summarizing content, explaining code, extracting insights from videos, and generating social media posts. Written in Go with support for 20+ AI providers including OpenAI, Claude, Gemini, and Ollama, it runs from the command line and can serve as a REST API. With 40,000+ GitHub stars, Fabric bridges the gap between AI capabilities and practical workflow automation.
50x faster LLM gateway with MCP support, built in Go
Bifrost is a high-performance open-source AI gateway built from scratch in Go. Unifies access to 15+ providers and 1,000+ models through a single OpenAI-compatible API with only 11 microsecond overhead per request at 5K RPS — 50x faster than LiteLLM. Features automatic failover, load balancing, semantic caching, and functions as both MCP client and MCP server. Apache 2.0 licensed.
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.
Enterprise middleware for securing AI applications against prompt attacks
Prompt Security provides enterprise security middleware that protects AI applications from prompt injection, data leakage, jailbreaks, and toxic content generation. It sits between users and LLM APIs to inspect, filter, and sanitize inputs and outputs in real-time. Supports deployment as a proxy, SDK integration, or browser extension with customizable security policies and compliance reporting.
CyberArk's open-source LLM fuzzing framework for AI security testing
FuzzyAI is CyberArk's open-source framework for fuzzing large language models to discover vulnerabilities like jailbreaks, prompt injection, guardrail bypasses, and harmful content generation. It systematically tests LLM deployments with over 20 attack techniques and generates detailed reports. Supports testing any model accessible via API including OpenAI, Anthropic, and self-hosted models.
ByteDance's open-source LLM coding agent with multi-provider support
Trae Agent is ByteDance's open-source software engineering agent that autonomously resolves GitHub issues, fixes bugs, and implements features using any LLM provider. It supports OpenAI, Anthropic, Doubao, Azure, Ollama, and Gemini backends, making it one of the most provider-flexible coding agents available. With over 11,000 GitHub stars and a modular research-friendly architecture, it offers a strong alternative to Western-centric coding agents.
Run frontier AI models across a cluster of everyday devices
exo turns a collection of everyday devices — laptops, desktops, phones — into a unified AI compute cluster capable of running large language models that no single device could handle alone. It automatically partitions models across available hardware using dynamic model sharding, supports heterogeneous device types including Apple Silicon, NVIDIA, and AMD GPUs, and communicates over standard networking without requiring specialized interconnects.
AMD's open-source local LLM server with GPU and NPU acceleration
Lemonade is AMD's open-source local AI serving platform that runs LLMs, image generation, speech recognition, and text-to-speech directly on your hardware. Built in lightweight C++, it automatically detects and configures optimal CPU, GPU, and NPU backends. Lemonade exposes an OpenAI-compatible API so existing applications work without code changes, and ships with a desktop app for model management and testing. Supports GGUF, ONNX, and SafeTensors across Windows, Linux, macOS, and Docker.
Knowledge graph-powered RAG framework from HKU
LightRAG is a research-backed RAG framework from Hong Kong University that combines knowledge graph structures with vector search for more contextual retrieval. Published at EMNLP 2025, it extracts entities and relationships from documents to build a structured knowledge graph, then uses dual-level retrieval across both graph and vector representations with five query modes: naive, local, global, hybrid, and mix.
Memory engine and context API for AI assistants
Supermemory is a memory and context platform that gives AI assistants persistent memory across conversations. Ranking first on LongMemEval, LoCoMo, and ConvoMem benchmarks, it automatically extracts facts from interactions, builds user profiles, and delivers relevant context via a unified API combining memory, RAG, connectors, and file processing — all accessible through an MCP server for Claude, Cursor, and other AI tools.
Open-source personal AI agent for messaging apps
OpenClaw is a free, open-source AI agent framework that turns any LLM into an autonomous personal assistant accessible through messaging apps like WhatsApp, Telegram, Discord, and Signal. Running entirely on your local machine via a Node.js gateway, it connects AI models to system tools, browsers, files, and APIs for multi-step task execution with persistent memory across sessions.
Fullstack MCP framework connecting any LLM to MCP servers
mcp-use is an open-source framework that enables any LLM to interact with MCP servers through a unified client interface. It bridges the gap between models that lack native MCP support and the growing ecosystem of MCP tools by providing automatic tool discovery, execution management, and multi-server orchestration. Supports both direct LLM connections and agent-based workflows. Over 9,000 GitHub stars.
Open-source AI second brain with deep research and RAG
Khoj is an open-source personal AI app that serves as a self-hostable second brain. It connects to your documents — PDFs, Markdown, Notion, Word — and uses RAG to answer questions grounded in your knowledge base. Supports any local or cloud LLM including Llama, Claude, GPT, and Gemini. Features custom agents, scheduled automations, deep research mode, semantic search, and Obsidian, Emacs, and WhatsApp integrations. Over 33,000 GitHub stars, YC-backed.
Automated PR workflow with AI review and labeling
ReviewPad automates the pull request workflow by applying team-defined rules for labeling, assigning reviewers, and providing AI-powered feedback on code changes. Its open-source GitHub repository supports custom automation scripts that standardize the review cycle, making it essential for mid-to-large teams enforcing governance without sacrificing development velocity across multiple repositories.
AI code review that groups and orders PR changes
Cubic is an AI-powered code review platform used by teams at cal.com and n8n that organizes complex PRs by grouping files logically (Backend → API → UI) and provides an AI walkthrough of changes. At $30/developer/month for unlimited reviews, it solves the jumpiness problem in large pull requests where reviewers lose context hopping between unrelated files, offering one-click fixes and custom rule enforcement.
Opinionated code formatter for web projects
Prettier is an opinionated code formatter with 50K+ GitHub stars that enforces a consistent style by parsing and reprinting code with its own rules. Supports JavaScript, TypeScript, CSS, HTML, JSON, Markdown, YAML, GraphQL, and more. Eliminates style debates in code reviews by making formatting automatic and deterministic. Features minimal configuration by design, editor integration for format-on-save, and pre-commit hooks via husky. The de facto formatting standard for web development.
