AI Apps Directory

Agentic AI workspace on an infinite canvas with autonomous multi-task agents.

Flowith is an AI workspace built around an infinite two-dimensional canvas, where you branch threads and organize work visually instead of in a linear chat. Its autonomous agent, NEO, plans and executes multi-step tasks with tool calling and persistent context, while the Oracle scheduler breaks complex jobs into subtasks. It supports leading models including GPT and Claude. A free Starter tier offers limited credits, with paid Professional, Ultimate, and Infinite plans.

Open-source AI answer engine that searches the web and cites its sources.

Scira (formerly MiniPerplx) is an open-source, AI-powered answer engine — a Perplexity alternative built on the Vercel AI SDK. It plans a query, retrieves from the web, and returns concise answers with inline citations, drawing on 60+ models including Grok, Claude, Gemini, GPT, and DeepSeek. The AGPL-3.0 code is self-hostable, and a hosted app at scira.ai offers a free tier plus a Pro plan with connectors, memory, and voice.

Turns long videos into short, captioned clips for social in one click.

Vizard is an AI video tool that automatically slices long-form videos — podcasts, webinars, interviews, livestreams — into short, social-ready vertical clips. It transcribes the source, finds the highlight moments, adds auto-captions, and reframes to keep the speaker centered for TikTok, Reels, and YouTube Shorts. A free plan lets you try clipping without signing up, with paid Creator and Business tiers for more exports and longer videos.

Agentic cloud IDE for building and shipping full-stack AI apps with Gemini.

Firebase Studio is Google's cloud-based, agentic development environment for building and shipping full-stack AI apps from the browser. It unifies the former Project IDX with Gemini-powered agents and the Genkit framework, giving you a full Code OSS editor, app prototyping from natural-language prompts, emulators, and one-click deploy to Firebase App Hosting. It runs entirely in the browser with no local setup. The core environment is free, with optional paid Cloud Billing for hosting and higher quotas.

AI enterprise search on a verified company knowledge layer.

Guru is an enterprise knowledge platform combining AI search, a verified company wiki, and an intranet, surfacing trusted answers inside the tools teams already use. Knowledge Agents give departments like HR, sales, and support cited responses grounded in governed content, backed by 100+ integrations and a browser extension.

Agentic AI platform for IT, HR, and customer service desks.

Aisera is an enterprise agentic AI platform that automates service interactions across IT, HR, finance, and customer support. It resolves and deflects tickets autonomously using domain-specific 'Hyperflows' and prebuilt templates, with tools like Agent Composer and LLM Studio to configure conversational and back-office automation in one loop.

AI universal search across your apps, files, and tools.

Dropbox Dash is an AI-powered universal search and knowledge workspace that indexes content across connected apps — Google Drive, OneDrive, Notion, Slack, and more — to return instant, sourced answers. It adds a unified start page, AI writing tools, and admin access controls, with a business tier that uses self-hosted AI to keep data inside Dropbox's trust boundary.

Enterprise iPaaS for integration, automation, and AI agents.

Workato is an enterprise integration and automation platform (iPaaS) with 1,200+ prebuilt connectors spanning CRMs, ERPs, HR systems, and databases. Its Workato ONE layer adds agentic orchestration — Otto, Agent Studio, and an enterprise MCP gateway — so teams build, run, and govern AI agents alongside traditional low-code recipe workflows.

Visual graphs that map the literature around any academic paper.

Connected Papers builds an interactive similarity graph around a seed paper, clustering related work by how strongly papers share references and citations rather than direct links alone. Researchers use it to get up to speed on a field, find prior and derivative work a keyword search misses, and explore a visual map of a research area. The free tier allows a handful of graphs per month, with unlimited graphs on paid academic and business plans.

AI music studio for studio-quality singing vocals from MIDI and lyrics.

ACE Studio generates expressive, human-like singing vocals from MIDI and lyrics, edited in a piano-roll where you control pitch, timing, vibrato, pronunciation, dynamics, and emotional intensity. It ships 140+ royalty-free AI voice models across eight languages, plus AI instruments, voice cloning, stem splitting, and choir/ensemble modes. It runs as a standalone desktop app and as VST/AU/AAX plugins, with vocal generation processed in the cloud.

VMs and Git for AI agents — run, version, and deploy the code AI writes.

Freestyle is cloud infrastructure for AI app builders and coding agents. Freestyle VMs are full Linux micro-VMs that provision in under 600ms with live forking and pause/resume, while Freestyle Git provides API-first Git filesystems with branching and GitHub sync that agents can read from and commit to. Together they give an agent a place to write, run, version, preview, and deploy a full-stack app.

Perpetual secure sandboxes that keep AI agents on warm standby.

Blaxel is serverless infrastructure for AI agents: secure sandboxes that spin up in seconds, hibernate after a second of inactivity at zero idle cost, and resume in roughly 25ms with full memory and filesystem state intact. It co-hosts agents, MCP servers, and batch tasks on one backbone, and adds an LLM gateway with caching, rate-limiting, and observability. Snapshots and forking let teams branch agent state for rapid experimentation.

Cloud Devboxes and benchmarks for running AI coding agents at scale.

Runloop provides isolated, cloud-based development environments — "Devboxes" — where AI coding agents safely execute code with full filesystem, build-tool, and compiler access. Teams spin up thousands of Devboxes on demand for large-scale agent tasks and tear them down when done. A benchmarking suite lets you evaluate and compare agents on standardized tests, and enterprise deployments add compliance and VPC options.

AWS's generative-AI assistant for software development.

Amazon Q Developer is AWS's generative-AI coding assistant that supports developers across the software lifecycle. It offers inline code completions, agentic chat, automated code transformation for language and framework upgrades, security scanning, and AWS-aware troubleshooting. It runs in popular IDEs, the command line, and the AWS console, with deep integration into AWS services.

Salesforce's platform for building and deploying autonomous AI agents.

Agentforce is Salesforce's platform for building, customizing, and deploying autonomous AI agents that act on enterprise data. Prebuilt agents handle service, sales, and other workflows, grounded in Salesforce CRM data and Data Cloud and reasoned over by the Atlas Reasoning Engine with enterprise guardrails. The 2025 Agentforce 360 release expanded it into a platform for orchestrating humans and agents together, with tools like Agent Script for custom agent logic.

Observability and tracing built for AI agents.

AgentOps is a developer platform for monitoring, debugging, and evaluating AI agents. It records every LLM call, tool use, and decision in a replayable session trace, with time-travel debugging, token and cost tracking, and agent benchmarking. Its open-source SDK drops into Python or TypeScript agents in two lines and integrates with frameworks like CrewAI, LangChain, Autogen, and the OpenAI Agents SDK.

AI platform for preclinical drug-discovery research.

BenchSci builds AI software for preclinical pharmaceutical R&D, helping scientists generate hypotheses, identify targets, and design experiments faster. Its platform reads and structures public scientific literature plus a customer's proprietary data into a Biological Evidence Knowledge Graph that scientists query in natural language. Its newer EMET agentic research environment chains domain-specific scientific tools, alongside the established ASCEND disease-biology platform used across major pharma.

AI-powered real estate operating system — CRM, marketing, and deals in one super app.

Rechat is an AI-powered operating system for real estate brokerages and agents that consolidates CRM, marketing design, and transaction management into a single platform. Its modules cover contacts and lead routing (People), marketing across websites, email, social, and print (Studio), and deal and compliance tracking (Deals). Its AI assistant, Lucy, generates marketing content and listing sites, drafts client communications, and reads and interprets transaction forms — pulling from MLS data, brand guidelines, and agent preferences.

AI-native CRM that builds itself from your email, calls, and Slack — no manual data entry.

Day.ai is an AI-native CRM that automatically captures and reasons over customer interactions instead of relying on manual data entry. It listens across Gmail/Outlook, Slack, and video meetings — joining Zoom, Google Meet, and Microsoft Teams calls to record, transcribe, and update records — and layers on AI assistants that prep meetings, manage pipelines, and draft follow-ups. Founders describe it as 'the Cursor of CRM,' aimed at replacing the heavy manual interfaces of legacy systems.

AI go-to-market platform that turns intent signals into automated, personalized outreach.

Unify is an AI-native go-to-market platform that helps sales and growth teams build pipeline by combining 25+ intent signals, B2B contact data, and AI agents that research accounts and write personalized outreach. It orchestrates multichannel sequences across email and LinkedIn with built-in deliverability infrastructure, so reps reach high-intent prospects at the right moment. It's aimed at revenue teams that want prospecting, enrichment, and engagement in one system rather than a stack of point tools.

Multimodal platform that makes images and video searchable and structured.

Coactive AI is an enterprise multimodal application platform that pulls context directly from the pixels and audio in images and video — no manual tagging or metadata required. Teams use it to semantically search, label, govern, and structure large visual libraries at scale, turning unstructured media into queryable data. It is aimed at media, retail, and other enterprises with vast image and video archives.

Open-source evaluation and observability for ML and LLM systems.

Evidently is an open-source Python framework for evaluating, testing, and monitoring AI systems — from tabular ML models to LLM apps, RAG pipelines, and agents. It ships 100+ built-in metrics covering data drift, quality, hallucinations, PII leaks, and jailbreaks, plus LLM-as-judge scoring and monitoring dashboards. Evidently Cloud adds a hosted service with no-code evals, alerting, and team management on top of the open library.

Expressive, emotionally controllable text-to-speech, voice cloning, and voice agents.

Fish Audio is a voice AI platform for real-time text-to-speech with emotion tags, voice cloning from clips as short as 15 seconds, speech-to-text, and end-to-end voice agents. Its flagship S2 model targets natural, expressive, multilingual narration, and the company maintains the open-source Fish Speech (OpenAudio) models on GitHub. A free tier covers personal use, with paid plans and an API for commercial use.

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

Pipecat is a Python framework for building voice and multimodal conversational agents that can listen, speak, and see in real time. It orchestrates streaming speech-to-text, an LLM, and text-to-speech into one low-latency pipeline, wiring together 40+ AI services with no vendor lock-in. Client SDKs cover JavaScript, React, React Native, Swift, Kotlin, C++, and ESP32, and Pipecat Cloud offers managed hosting at scale.