1,038 tools and products — trending open source, and what gets used in AI and other work.
Token Saver is a local Claude Desktop extension developed at Marktechpost AI Media Inc. It searches PDFs stored on the user's computer using local hybrid retrieval—BM25 and embedding search—then sends Claude only the passages relevant to a question, with exact page citations, instead of placing the entire document in the context window. The extension is distributed as a one-click .mcpb file and bundles its search engine, requiring no Python, terminal, or configuration files; documents remain on the local machine. It also supports document-folder selection, document listing, disambiguation when multiple files match, and reusing a loaded document for follow-up questions.
Stickman Video Director is a Codex skill that turns source copy, notes, articles, or a topic into a planned one-minute stickman video workflow. It first produces a six-scene directing proposal covering English narration, reference translation, visual action, camera movement, transitions, background music, sound effects, color treatment, and continuity; only after explicit approval does it generate six standalone Gemini Omni Flash prompts for roughly ten-second segments. Each scene specifies three timing beats and repeats key character, line-weight, palette, audio, dialogue, transition, and negative constraints so the prompts can be used independently, then assembled into a continuous video. It adapts composition and camera paths for 9:16, 16:9, or 1:1 formats and supports white-background/black-stickman or black-background/white-stickman styles with up to three accent colors. Global changes return the workflow to the proposal stage, and the skill is designed to avoid adding unsupported facts or claims. It requires no API or MCP integration and is distributed under the MIT license.
diri is a native desktop orchestrator for coding agents on macOS and Linux. It runs Claude Code, Codex, Cursor, Gemini, and ordinary shells in parallel, using separate Git worktrees or remote hosts over SSH and tmux. Each session is a real terminal with a persistent PTY managed by a background daemon, so closing or reopening the app does not terminate sessions; the daemon restores their output and state. The app displays working, needs-you, and done status, while its MCP server allows one running agent to spawn, monitor, read, and respond to another. Claude Code and Codex have first-class status detection and resume support, while Cursor and Gemini have partial support.
FlightGlitch is a web service that monitors airline pricing around the clock for unusually low airline tickets caused by pricing errors, commonly called mistake fares or error fares, and sends subscribers notifications when they are found.
Breadcromb is the developer of Trace, an AI-powered web browser that builds a private knowledge layer from users' reading and uses local-first AI to answer questions, automate tasks, and orchestrate agents within the browser. Trace is offered as a free download and emphasizes privacy and local-first operation.
Strix is an open-source AI penetration-testing tool from usestrix that uses autonomous, multi-agent AI pentesters to dynamically run applications, perform reconnaissance and exploitation, and validate vulnerabilities with working proof-of-concept exploits rather than static-analysis findings. Its developer-oriented CLI produces remediation guidance, generated patches, and pentest reports, and it can run scans in CI/CD pipelines to detect insecure changes before deployment. The tool runs in a Docker sandbox and requires an LLM API key; the associated Strix platform supports repository and domain testing, continuous scanning, and integrations with development and issue-tracking workflows.
npcpy is a Python library for research and development with multimodal language models, agentic AI, and knowledge graphs. It provides primitives for defining personas, making direct language-model calls, creating tool-using agents and multi-agent teams, and building AI applications with local providers such as Ollama, llama.cpp, omlx, and LM Studio as well as cloud providers. Its NPC Context-Agent-Tool data layer is designed to enforce context and tool-use rules through software rather than prompts. The Agent class includes tools such as shell execution, Python, file editing, and web search, while ToolAgent supports custom tools; the examples include image generation, Hugging Face image-dataset retrieval, and diffusion-model fine-tuning. The library is distributed through PyPI.
PortalJS is an open-source, AI-native framework maintained by Datopian and its community for building data portals. Its agentic skills advise on storage, compute, catalog, access, hosting, and metadata, then scaffold the result as plain, editable Next.js code. Claude Code skills can create a portal, add CSV or JSON datasets, connect to backends such as CKAN, and deploy it; generated portals include a home page, catalog, and dataset showcase, with support for configurable data providers, charts, maps, and schemas. A bare template is also available without the AI skills, and the project presents Git, object storage, Parquet, and DuckDB as an optional modern architecture while retaining traditional datastores as supported choices.
Kandev is an open-source, self-hostable AI Kanban and development environment for orchestrating coding agents and reviewing their work. It organizes tasks in Kanban and pipeline views, supports parallel execution and multi-step agentic workflows, and isolates concurrent work with Git worktrees. Its integrated workspace combines a file editor, file tree, terminal, browser preview, chat, and Git changes for reviewing and iterating on agent output. Agents can run through local, Docker, SSH, or cloud runtimes, with support for multiple agent providers; the project also provides configurable workflows, agent profiles, prompts, review gates, scheduled or webhook-triggered automations, and no telemetry.
deja-vu is a local memory and search layer for AI coding agents. Its Go binary indexes session histories already stored on a machine by Claude Code, Codex, Cursor, and other supported agents, including sessions recorded before installation, without using an LLM or embeddings. It provides natural-language and direct search, session inspection, context retrieval, JSON output, redaction, usage statistics, and MCP-based cross-agent recall; the index strips keys and tokens as it is built and can synchronize append-only memory between machines over SSH. Recall can be injected automatically at session start and before prompts, file edits, or commands, and a post-command hook can retrieve what followed a matching failure when the agent supports those hooks. It also indexes files opened during each turn, executed commands and exit statuses, and exact spans replaced by edits, rather than only conversation text. Decisions can be marked as accepted or rejected with notes, and results can report when indexed files have changed since a session. The repository reports sub-millisecond lookups over 5 GB of history, with benchmark harnesses for LongMemEval-S and LoCoMo. The project is distributed as a local binary with installation options including a shell script, Homebrew, Go, npm, Scoop, release archives, and agent-specific plugin or MCP bundles. Its optional installation wiring configures supported agents for MCP and session-start recall.
The GitHub Copilot SDK is a multi-platform SDK from GitHub for embedding the agent runtime behind Copilot CLI in applications and services. It provides SDKs for Node.js/TypeScript, Python, Go, .NET, Java, and Rust, allowing applications to invoke Copilot agent workflows while the runtime handles planning, tool invocation, file edits, and related orchestration. Applications can also define custom agents, skills, and tools. Each SDK communicates with Copilot CLI running as a server over JSON-RPC. The SDK manages the CLI process lifecycle automatically and can connect to an externally run CLI server. The repository provides package-specific installation and API instructions; the CLI is bundled automatically for Node.js, Python, and .NET, while Go, Java, and Rust generally require a separately available CLI, with application-level bundling features available for Go and Rust. Standard use requires a GitHub Copilot subscription, and usage follows the Copilot CLI billing model, with prompts counted toward the applicable allowance. A BYOK mode supports API keys from supported providers without GitHub authentication.
Speech To Speech is an open-source, modular voice-agent pipeline from Hugging Face. It chains voice activity detection, speech-to-text, a language model, and text-to-speech as separate stages connected by queues; each stage has interchangeable backends. The language-model stage supports OpenAI-compatible protocols and can use hosted providers, Hugging Face Inference Providers, vLLM, or llama.cpp, while the system streams transcripts, generated text, tool calls, and synthesized audio. The project exposes the core OpenAI Realtime event set through WebSocket and WebRTC and includes commands for running a realtime server, a microphone-and-speaker client, or a local setup. It is distributed as a Python package and requires Python 3.10 or newer. The repository says the pipeline is used as the conversation backend for Reachy Mini robots.
Zinley is a personal representative service that acts on a user’s behalf in personal matters, sales, customer support, recruiting, and related interactions. It integrates with the user’s tools and communicates with people and external systems outside those tools.
Bolcho AI is an Indian company offering a voice and chat AI platform that enables organizations to build, launch, and scale conversational agents for phone calls and websites in Indian languages. The service markets itself as operating at near provider cost and targets Bharat-language use cases.
An open-source AI software-development factory provided as a Vercel template and implemented by Foreman. It takes tasks from GitHub issues, GitHub mentions, Linear Agent Sessions, or a local developer TUI and moves them through four isolated agent stations: a Classifier triages task type, priority, complexity, and actionability; an Analyst creates a plan and acceptance criteria from a live repository checkout; an Implementer executes the plan in a sandbox, runs the repository's checks, and pushes a branch; and a Reviewer independently evaluates the resulting diff with evidence. The pipeline produces a reviewed draft pull request for human approval, after which people mark it ready and merge it. Foreman maintains shared repository notes between runs, can diagnose failing CI on its own factory pull requests, and posts progress to the originating GitHub or Linear task. The deployment flow configures GitHub and Linear connectors, Vercel Blob storage, a target repository, and an issue label.
Embabel is an open-source framework for authoring agentic flows on the JVM. Written in Kotlin with a natural Java usage model and built on Spring, it combines LLM-prompted interactions with manually written code and strongly typed domain models. Flows are expressed through actions, goals, conditions, and domain objects; they can be authored with Spring-style annotations such as @Agent, @Goal, @Condition, and @Action, or with an idiomatic Kotlin DSL. The framework dynamically formulates plans toward goals using a pluggable, non-LLM planning step. Its default approach is Goal Oriented Action Planning (GOAP), while Utility AI is also supported for selecting actions by utility scores rather than strict preconditions and postconditions. Conditions are reassessed after each action, and the system replans based on new information and observed effects, allowing known actions to be combined in novel orders and enabling runtime decisions such as parallelization. The planning model is independent of the actions, goals, and plans themselves, and can extend application capabilities by adding domain objects, actions, goals, and conditions without changing finite-state-machine definitions. Execution is provided through an AgentPlatform with focused, closed, and open modes. Focused mode runs a requested agent from application code; closed mode classifies user intent or an incoming event to select an agent; and open mode searches across available goals and actions to build a custom agent, while allowing developers to restrict goal selection. Open mode can find paths not explicitly envisioned by developers and combine functionality from multiple providers, but individual steps must still be defined by the application. Embabel supports mixing language models, including local models for selected tasks, separates the programming model from platform internals for local or production execution, and integrates with Spring dependency injection, AOP, persistence, transactions, and testing. The framework is designed for unit and end-to-end agent testing.
Decagon is an enterprise AI customer-support platform with autonomous agents for handling customer inquiries and operational workflows across support channels. Its agents resolve issues using connected business systems, escalate cases to human support staff when needed, and provide business-process logic, integrations, testing, monitoring, compliance support, and deployment capabilities.
Apple Intelligence is Apple's branded set of generative AI features and on-device models introduced in 2024 to enhance Siri, system capabilities, and apps across iPhone, iPad, and Mac. The initiative covers local model execution, iCloud integration for personal context, and tools for developers to use Apple-provided and on-device intelligence.
Waymo Driver is an autonomous driving system developed by Waymo (a subsidiary of Alphabet Inc.) that enables vehicles to operate without a human driver. It combines lidar, radar, cameras and machine-learning based perception and planning software and is used in Waymo's robotaxi services and commercial vehicle programs.
ChatPRD is an AI platform for product managers that helps teams create product requirement documents, offers expert coaching, and integrates with common workflows. The service is presented on chatprd.ai and the site states it is used by more than 100,000 product managers.
Higgsfield Supercomputer is an AI creative tool that turns a user's description into a finished render. It plans the work, selects models, and produces the result within a single chat interface, aiming to remove prompts, presets, and separate tool switching. It is offered by Higgsfield at higgsfield.ai.
Mellea is a Python framework for developing generative AI applications, with abstractions for composing language-model programs and controlling their execution.
WormGPT is a named AI chatbot reported to be designed and marketed for cybercriminal use, offering guidance and code related to malware, phishing, and intrusion techniques. It emerged in reporting from late 2023 and was discussed by cybersecurity firms and in underground forums as an illicitly purposed generative AI service.
camelAI is an AI coding assistant platform built on Cloudflare Workers and Durable Objects. Each chat thread runs a coding agent in its own persistent workspace, retaining chat state and project files while providing workspace-aware tools. The platform connects to APIs, databases, email, Slack, Discord, and other services; supports application builds, notebook analysis, and SQL execution in isolated short-lived sandboxes; and provides previews and publishing through Workers for Platforms. Its agent harness is built on pi's lower-level agent-loop and state-management libraries. The agent uses native file tools and writes JavaScript rather than shell commands; Code Mode executes that JavaScript in fresh V8 isolates with explicit platform and connection methods. Project files are stored in WorkspaceFilesystem Durable Objects, using Durable Object SQLite for small files and R2 for larger ones, while Cloudflare Artifacts provides Git history. Linux sandbox containers are reserved for jobs requiring them, including builds, notebook analysis, and database queries, and credentials remain outside the execution sandbox. The platform can use Anthropic, OpenAI, OpenRouter, Bedrock, and custom model endpoints. Its repository is released under the MIT License and includes local development setup using Node.js, Bun, and a Cloudflare account.
GeoLook is an open-source, self-hosted platform for end-to-end Generative Engine Optimization (GEO), focused on whether AI engines mention and cite a brand. Its workflow runs from status analysis through diagnosis, strategy, implementation tickets, execution, and verification. The platform samples answers from multiple AI engines and measures mention rate, rank, citation share, competitor visibility, and citation sources. It classifies question-level problems such as absence, low ranking, competitor dominance, and suspected negative mentions; stores browsable sample metadata; and allows human corrections to parser results that recompute metrics and persist across resampling. It can expand question banks using Baidu suggestions and Google autocomplete, with candidates requiring manual review. GeoLook audits sites through an Access → Orientation → Understanding → Quotability dependency chain, covering crawler access, extraction blocks, citation-channel gaps, and brand-fact or messaging inconsistencies. It also performs checks such as robots and WAF/CDN behavior, noindex headers, llms.txt links, hreflang, sitemaps, duplicate content, and passage-level quotability. The action stage produces structured implementation tickets with rationale, ownership, effort, timing, acceptance criteria, risk grades, progress tracking, and regression-based reopening; it also provides content planning, deployable llms.txt and JSON-LD assets, and client-facing reports and execution plans. Subsequent sampling rounds compare results before and after implementation.
LingBot-World 2.0, also called LingBot-World-Infinity, is an AI world-modeling system from the Robbyant Team for generating interactive video environments. Its causal pretraining paradigm is designed for an unbounded interaction horizon, while a distilled real-time variant is claimed to drive 720p video streams at 60 frames per second. The system supports diverse actions, including attacking, archery, spell-casting, and shooting, along with text-driven events. Its agentic harness uses a pilot agent to plan and execute character behavior and a director agent to synthesize new environmental elements as a scene progresses. The causal inference implementation processes video frames chunk by chunk with KV caching rather than processing the entire sequence at once. The release provides inference code and model weights, including a 14B causal-fast model, with a codebase built on Wan2.2; models are distributed through Hugging Face and ModelScope, and the real-time system can be tried through Reactor on the web or LingGuang on mobile. The project is licensed under CC BY-NC-SA 4.0 for non-commercial use. It states that deployment code will not be released and points to SGLang or flashdreams for self-deployment references.
DrDroid is an AI SRE agent for incident response and root-cause analysis. It connects to cloud platforms, source code and telemetry to scan stacks, build a knowledge graph, and assist with incident response, root-cause analysis, and automated remediation.
Reframe is one of Higgsfield's AI-powered plugins for Adobe Premiere Pro and After Effects. It is presented as a video reframing tool within Higgsfield's suite of five plugins (Reframe, Remove BG, Upscale, Draw to edit, Edit Video) for in-app AI video edits.
Draw to Edit is one of the AI-powered plugins in Higgsfield's suite for Adobe Premiere Pro and After Effects. It is offered as a tool to edit video content by drawing directly on frames and is bundled with other Higgsfield plugins such as Reframe, Remove BG, Upscale and Edit Video.
A Cloudflare web-management feature that lets website operators monitor and control access from AI crawlers, including applying rules to allow or block automated collection of site content.
Pushary is a service for approving or authorizing AI agents from a mobile device when they pause to request permission. It supports agent frameworks and models including Claude Code, Codex, Cursor, and other MCP-compatible agents, allowing users to provide one-tap approvals so the agents can continue operating.
Basement is an AI shopping assistant available as an iPhone app and Chrome extension. It reads product pages, searches for better prices, and aggregates user feedback from Reddit, Trustpilot, and X to help assess a product’s legitimacy, reviews, and value.
AgentOps is an open-source observability and developer-tools platform for building, evaluating, and monitoring AI agents. Its Python SDK records agent sessions and LLM calls for dashboard-based session replays, step-by-step execution graphs, debugging, analytics, cost tracking, and benchmarking. Developers instrument code with decorators for sessions, agents, operations, tasks, and workflows; these support nested span hierarchies, input and output recording, exception handling, asynchronous functions, generators, and custom attributes. The SDK provides integrations with agent frameworks and LLM systems including CrewAI, AG2/AutoGen, Agno, LangGraph, and the OpenAI Agents SDK, and the platform can be self-hosted with its dashboard and API backend. The app is released under the MIT license.
Clears is a developer productivity tool that converts issue stories into code changes and generates reviewed pull requests across connected repositories. The service is presented at clears.ai and is aimed at automating routine engineering tasks.
Artifacts is a product from Samepage that centralizes product-management information and insights across tools and the web. It automatically surfaces signals and relevant content to serve as a 'second brain' for product teams.
TinyFish is a company and platform that provides enterprise web infrastructure for AI agents. It offers a fully serverless architecture to run hundreds of websites concurrently for tasks such as navigation, authentication, data extraction, and automating web workflows.
HarnessRouter Community Edition is the open-source edition of HarnessRouter, an agent-harness infrastructure that provides a unified Agent API to integrate language models and agent runtimes. It is maintained by HarnessRouter and is intended for deployment on users' own infrastructure to connect models such as Codex, Claude Code, and Hermes.
Chert is a company offering AI video agents that can programmatically answer and place FaceTime calls; the product is presented as "Vapi for FaceTime." It provides developer-facing tools and APIs to embed video-call agent behavior in applications.
CostLogic is a construction takeoff and estimating software platform that lets users upload PDF blueprints, perform scaled measurements, and create estimates and invoices. It combines takeoffs, job management, and billing in a single workflow for construction contractors and estimators.
Zetik is a web service that describes itself as a "personal intelligence agent" which continuously monitors internet sources—news, podcasts, papers, and code—and delivers briefings via feed, push, newsletter, or RSS. It is offered under the Zetik brand and positions itself as a tool for keeping users informed about developments it deems relevant.
Attyn is a desktop AI assistant that embeds an AI "cursor" into the user's computer, enabling writing, voice input, and in‑app actions across installed applications without switching to separate AI interfaces. The product is presented as a personal AI that works across the applications a user already uses.
Nenspace is a web and iOS personal workspace app that combines AI-assisted working memory, tasks, notes, habits and a logbook. The service describes itself as an "extended mind" that fuses lo-fi LLM capabilities with a single space to capture and cultivate ideas. It is marketed as AI-fused and free to start.
Outcome (branded Outcome.cc) is a web-based marketing tool that converts published content into personalized lead magnets and constructs "Outcome Funnels" to capture and grow subscriber lists. The product is presented at outcomeapp.ai.
min. is a CRM product that automatically builds and maintains contact and activity records by extracting data from users' meetings and emails. The service presents itself as continuously updating the CRM from communications to keep records current.
Kane CLI is a command-line tool for AI-driven browser automation that accepts test descriptions in natural language, drives a real Chrome instance from the terminal, and returns pass or fail results. The product page for Kane CLI is hosted at testmuai.com.
Ito is an AI-powered code review platform that runs applications on every pull request to provide runtime evidence and detect bugs. It automates PR reviews to help catch bugs earlier and improve code quality.
Codeman is a self-hosted web dashboard for running and monitoring AI coding agents. It launches Claude Code, OpenCode, Codex, Antigravity, Gemini, Pi, or Grok in persistent tmux sessions, with an optional plain shell, and streams their terminals to a browser. Sessions persist across restarts and network drops; idle detection can re-prompt agents, resume them after usage limits reset, and run scheduled jobs, while live floating windows show background agents and subagents. The dashboard is designed for touch devices and includes local echo, QR login, swipe navigation, and push notifications. It can run locally, in Docker, or over SSH, is MIT licensed, runs on the user's machine by default, and states that it has no telemetry.
TaxHacker is a self-hosted AI accounting application for freelancers, independent developers, and small businesses. It processes receipt photos, invoice PDFs, bank statements, and other documents with a configurable LLM, extracting dates, merchants, amounts, taxes, product names, and line items into a structured, Excel-like database. It can categorize transactions, split invoice items into separate transactions, and use custom fields with user-defined prompts; supported model backends include OpenAI, Google Gemini, Mistral, and local OpenAI-compatible endpoints such as Ollama, LM Studio, vLLM, and LocalAI. The application detects document currencies and converts transactions using historical exchange rates from the transaction date, including cryptocurrency support, and provides filtering, multi-project organization, import/export, and custom categories. The repository describes the project as being in early development and advises using it at one's own risk.
OpenGeni is an open-source, self-hostable runtime for long-running AI agents rather than an agent itself. It exposes a session-based API for creating, steering, observing, interrupting, and replaying agent runs, storing every event in a PostgreSQL log and streaming live history over SSE so sessions can be resumed or audited. Sessions can run in managed sandboxes or on enrolled Connected Machines such as laptops, build servers, and GPU systems; machine connections are outbound-only and can be revoked. The runtime includes human approval gates for tool use and proposed curated memories, per-session credential brokering, durable pauses for structured responses, and an audit trail. Its control plane, sessions API, web app, and deployment artifacts are distributed under the Apache-2.0 license.
Magic Cloud is an open-source, self-hosted full-stack application builder and AI-agent platform. Its API Wizard connects to databases such as SQLite, PostgreSQL, MySQL, MariaDB, and SQL Server and generates secured REST APIs with authentication, role-based access control, CRUD operations, and business logic; endpoints can then be extended from plain-English descriptions without a separate build or deployment step. It can also generate database-backed applications, wrap APIs described by OpenAPI or Swagger specifications, run scheduled Hyperlambda jobs, and expose endpoints as MCP tools for clients such as Claude, Cursor, and Codex. The runtime uses Hyperlambda, a compiled .NET execution environment. The project says its generator produces an abstract syntax tree rather than unrestricted function-call text, allowing generated invocations to be checked against available functions, while sandboxing and RBAC restrict execution. Magic Cloud is self-hostable, distributed under the MIT license, and is developed in the polterguy/magic repository.
AI Design Skills is an MIT-licensed collection of Markdown design skills for AI coding tools such as Claude Code, Cursor, Codex, Windsurf, and Cline. Its skills provide coding agents with guidance for landing-page strategy, page structure, conversion copy, typography, spacing, visual systems, border radius, and motion. Each skill is stored as a self-contained folder with a SKILL.md file that can be copied into an agent's project-rules directory, added to a system prompt, or uploaded to a Claude.ai project. The repository currently documents a landing-page-design skill that asks intake questions, builds the page structure and copy, and defines the visual system; its design values are grouped in an editable section so users can change fonts, colors, spacing, and motion. The collection can be forked and used, modified, distributed, or used in commercial work under the MIT license.
arc-code is a minimal harness for testing whether a general coding agent can learn unfamiliar ARC-AGI-3 games during play. It runs a headless coding agent with a shell, filesystem, and action command inside an internet-isolated sandbox; the harness provides no solver, planner, world model, grid tooling, fine-tuning, MCP servers, subagents, plugins, or hooks. The agent interacts with each game only through `act.py`, which executes actions and appends resulting boards and actions to a log. It uses the shell and approved file tools to parse that log, record findings, and build task-specific machinery such as parsers, rule models, simulators, and search procedures, which are discarded when the game ends. `run.py` launches and records one session per game, while the `rig/` directory supplies sandboxing, brokering, auditing, scoring, and export infrastructure. The repository includes the harness and six complete session records.
VibePulse is an always-on ESP32-S3 AMOLED panel and local-first host service for monitoring Claude Code and Codex usage, live agent activity, and prompts that need user input. The panel displays quota information and agent status, raises a full-screen NEEDS YOU alert when an agent is waiting, and can send supported decisions back through a tap on the display. A pure-standard-library Python service runs on a macOS or Windows computer and communicates with the panel over the local network. The project supports optional, default-off relays: a numbers-only relay for quota data, an encrypted interaction relay for supported NEEDS YOU decisions, and an independent status relay for Claude/Codex activity. The repository describes the core panel loop, Windows host lifecycle, and physical prompt-answer flow as verified, with cloud features disabled by default.
Vibe ASO is a Claude Code skill that takes an iOS app from ready-to-submit status through App Store optimization and localization. It performs popularity- and difficulty-driven, intent-matched keyword research; generates App Store metadata in up to 50 locales; renders localized screenshots with Playwright, per-script Noto fonts, right-to-left handling, and automatic text fitting; applies territory-specific pricing through the App Store Connect API with read-back verification; and localizes in-app strings. Its checks detect translation problems such as format-specifier drift, wrong-sense domain terms, script contamination, and register drift. It sets and verifies App Store Connect fields where the API permits, producing an explicit manual-steps list for the remaining submission tasks. The skill has no separate SaaS signup: it uses the user's App Store Connect API key, Claude subagents by default, or a DeepSeek/OpenAI-compatible translation API, and can use ASO keyword data from an external tool such as Astro's MCP.
RAGFlow is an open-source retrieval-augmented generation (RAG) engine from infiniflow that provides a context layer between documents and large language models, combining document understanding with agent capabilities. It ingests heterogeneous sources including Word, Slides, Excel, text files, images, scanned documents, structured data, and web pages; extracts knowledge from complex formats; and uses configurable template-based chunking, multiple retrieval methods, and fused re-ranking to assemble context for language-model applications. Its workflows provide traceable citations and visualized text chunks for human review, and it supports configurable language and embedding models, agent templates, orchestration, APIs, and self-hosting. A hosted cloud service is also available.
Unsloth is an open-source local desktop and web tool for running, training, fine-tuning, and deploying language, diffusion, embedding, audio, and vision models. It supports Windows, macOS, Linux, WSL, multi-GPU setups, NVIDIA, AMD, and Intel GPUs, CPUs, and the Vulkan backend. The project is distributed as Unsloth Desktop, Unsloth Studio, and Unsloth Core. It can run local models, provide an OpenAI-compatible API, connect models to agents and MCP tools, perform search and RAG, and offer remote or LAN access. Its training functions cover reinforcement learning, LoRA, QLoRA, full fine-tuning, pretraining, GRPO, DPO, and FP8, with export formats including GGUF, NVFP4, and FP8. The repository claims that its fine-tuning workflows use two times less training time and 70% less VRAM.
Paritok is an open-source compression gateway for AI coding agents. It runs as a drop-in proxy between an agent and an upstream LLM API, stripping irrelevant tool schemas, compressing tool results and file reads, and summarizing stale conversation history before forwarding requests. Compressed content remains recoverable on demand through the gateway, while responses pass back to the agent unchanged. It supports agents such as Claude Code, Cursor, Codex, and OpenHands, as well as agents that support BASE_URL configuration, and is powered by an open-source code-focused 4B compression model.
Freebuff is an ad-supported AI coding-agent suite from CodebuffAI. Its CLI runs in a project from the terminal, where specialized agents find relevant files, plan and implement changes, run project checks, and review the results. The suite also includes desktop, web, cloud, and chat products for running parallel local agents, building full-stack applications, operating on GitHub repositories, and conducting research. Freebuff provides a catalog of included AI models without a subscription, credits, or an API key; text ads support access to those models. Desktop can run concurrent agents in separate workspaces, while the web and cloud products provide hosted sandboxes, previews, terminals, browser-based research, and deployment workflows.
Snorkel is a system for programmatically building and managing machine-learning training data through weak supervision. It encodes expert knowledge as labeling functions, uses those functions to generate labels at scale, and supports data labeling, augmentation, slicing, and management for adaptable training datasets. The project began at Stanford and is now complemented by Snorkel Flow, an end-to-end AI application development platform based on the same ideas.
Mercury 2 is a diffusion language model developed by Inception that generates multiple tokens in parallel through iterative refinement rather than decoding strictly one token at a time. It is designed for latency-sensitive applications and has been reported to achieve speeds exceeding 1,000 tokens per second.