AI Agents Marketplace

What is Gorgias? Gorgias is a customer support helpdesk built for e-commerce brands, with a native Shopify integration and an AI agent that answers tickets and can take actions such as refunds or upsells. It is priced by ticket volume rather than by agent. Key capabilities of Gorgias AI agent: Automates responses and resolves a portion of tickets. Unified omnichannel inbox: Email, chat, social and messaging in one inbox. Native Shopify integration: Order data and actions available inside tickets. In-conversation actions: Process refunds and offer upsells from a ticket. AI agent coaching: Guidance to improve the AI's behavior. How Gorgias works Gorgias pulls customer and order data from the store into each ticket so agents see context. The AI agent answers using help-center content and store data and can trigger actions, handing off when it cannot resolve. Each automated interaction counts as one ticket, and the AI is billed separately per interaction. Who uses Gorgias? E-commerce brands on Shopify and similar platforms, from small shops to large merchants, use it. The vendor says 12,400+ brands use its Pro plan. Gorgias pricing Starter is $10 per month with 50 tickets, Basic is $50 per month on annual billing for 300 tickets, Pro is $300 for 2,000 tickets, and Advanced is $750 for 5,000 tickets. The AI agent is $0.90 per interaction on annual contracts or $1.00 monthly. Enterprise is custom. Gorgias alternatives Zendesk is a general-purpose helpdesk, Intercom Fin is an AI agent for Intercom, and Freshdesk with Freddy AI is a broader support suite. Gorgias specializes in e-commerce stores and ticket-volume pricing.

What is Latent Labs? Latent Labs is a protein design AI agent offering a frontier AI lab whose Latent-X web platform lets scientists design novel protein binders computationally. Founded in 2023 and based in London, United Kingdom, Latent Labs helps biologists and drug discovery teams automate protein design work and get results faster. Key capabilities of Latent Labs De novo binder design Structure prediction Web-based design Lab-validated models Model-driven design Cloud compute workflows How Latent Labs works Latent Labs takes sequences and structures as input and produces protein designs. It is powered by Latent Labs models, with the vendor managing prompts, models and updates. It connects to tools such as Python, Jupyter, PyMOL and Benchling, so the agent works inside existing workflows. Who uses Latent Labs? Latent Labs is built for biologists and drug discovery teams. It suits teams that want de novo binder design and structure prediction without adding headcount, while keeping people in control of review and final decisions. Latent Labs vs EvolutionaryScale Latent Labs is often compared with EvolutionaryScale. Latent Labs stands out for de novo binder design and web-based design. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Talk to the City? Talk to the City is a public consultation analysis AI agent offering an open-source AI tool from the AI Objectives Institute that clusters and summarizes large public consultations and opinion data. Talk to the City helps governments, researchers and civic groups automate public consultation analysis work and get results faster. Key capabilities of Talk to the City Opinion clustering Quote-linked summaries Interactive reports Multilingual inputs Theme clustering Quote-grounded reports How Talk to the City works Talk to the City takes text as input and produces reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Google Sheets, CSV, Pol.is and Web browsers, so the agent works inside existing workflows. Who uses Talk to the City? Talk to the City is built for governments, researchers and civic groups. It suits teams that want opinion clustering and quote-linked summaries without adding headcount, while keeping people in control of review and final decisions. Talk to the City vs Pol.is Talk to the City is often compared with Pol.is. Talk to the City stands out for opinion clustering and interactive reports. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Cua? Cua is infrastructure for computer-use agents. It scales fleets of virtual computers for parallel training, evaluation and data generation across Linux, Windows, macOS and Android. Key capabilities of Cua Cua Driver: open-source background driver for desktop automation, compatible with MCP and CLI Cua Sandbox: local and cloud sandboxes for agents Cua Fleets: elastic warm pools of machines on demand Cua Bench: framework for authoring evaluations and benchmarks Lume: macOS virtual machine management on Apple Silicon Multi-OS support: Linux, Windows, macOS and Android environments How Cua works Developers provision a sandbox locally or in the cloud, then point a computer-use agent at it to operate the desktop. Fleets keep warm pools of machines so many runs can execute in parallel, and Cua Bench scores agent performance on authored tasks. Who uses Cua? Cua is for teams building and training computer-use agents. Its repositories report a community of 27.9K on GitHub, and the vendor lists compatibility with OpenAI, Qwen Code and Factory Droid. Cua pricing Cua Fleets is usage-based, at $0.044625 per vCPU per hour and $0.0223125 per GiB of memory per hour. Cua Driver, Cua Bench and Lume are MIT licensed. Cua alternatives Alternatives include Scrapybara for hosted agent computers, Kernel for browser infrastructure and Manus for a general agent product.

What is Augment Code? Augment Code is an AI coding agent built around a Context Engine for large, complex codebases. It offers an agent, chat and CLI access, with usage measured in dollars across LLMs, the Context Engine and compute. Key capabilities of Augment Code Context Engine: Whole-codebase context for large repositories. Coding agent: Agentic multi-file edits and bug fixing. Chat: Codebase chat inside the IDE. CLI access: Command-line access on paid plans. MCP and native tools: Connect external tools via MCP. How Augment Code works Augment indexes a codebase with its Context Engine, then the agent plans and edits across files using that context. Usage pools across a team of up to 50 members without per-seat charges. A flat 40 percent service fee applies to LLM costs, and overages use pay-as-you-go top-ups valid for 12 months. Who uses Augment Code? Engineering teams working in large codebases use Augment, and enterprises with higher volume use the Enterprise plan. Augment Code pricing Standard is $20 per month with $20 of usage credit, Business is $100 per month with $100 of credit, and Enterprise is custom. Both paid tiers support up to 50 team members with no per-seat charge. Augment Code alternatives Tabnine offers code completion with privacy options, Sourcegraph Cody uses a code search engine, and Windsurf is an AI-native editor. Augment is distinguished by its Context Engine and pooled usage pricing.

What is Sensay? Sensay is an AI platform for knowledge offboarding. It captures what departing employees know through intelligent voice interviews and makes it accessible to the people who stay. Key capabilities of Sensay AI interviewer Sophia: Conducts voice interviews that extract tacit knowledge. Interview scheduling: Automated scheduling for departing employees. Slack and Teams access: Query captured knowledge where teams work. Document generation: Create custom documents from interviews. Quick setup: Organization configured in minutes. Role-based access: Strict access controls on captured knowledge. How Sensay works The organization is configured in minutes, interviews are scheduled automatically for departing employees, and Sophia, the AI interviewer, conducts a voice interview. The captured knowledge is then queried through Slack or Teams or turned into custom documents. The vendor cites first interview within 2 days of setup, and AES-256 encryption at rest with TLS in transit. Who uses Sensay? HR and operations teams that lose institutional knowledge when staff leave. The vendor claims 95% knowledge retention, 40% faster onboarding for replacements and 3x ROI. Sensay pricing Pricing is not shown on the homepage content reviewed, and a pricing page exists on the vendor site. Sensay alternatives Related tools include Delphi and Coachvox AI for AI clones of experts, and Voiceflow, ManyChat and Landbot for conversational bots.

What is Komment? Komment is a cloud-based security platform that scans codebases to find vulnerabilities, reliability risks and technical debt. It is currently in early access as version 0.9.0-beta. Key capabilities of Komment Vulnerability scanning: covers entire tech stacks Security grading: A+ through F ratings Risk reports: remediation recommendations Historical tracking: security posture across versions Scan comparison: spot regressions between scans MCP access: security findings available to agents and tools How Komment works Teams run a scan on their codebase and receive a graded report with risks and remediation advice. Later scans are compared to earlier ones to catch regressions, and findings are available through Model Context Protocol and API access for internal tools. Who uses Komment? Komment targets development teams working with fast-changing code. The vendor says it is admitting about 100 new users per day and that the first scan is complimentary during early access. Komment pricing The Cloud version is $20 per month plus separate inference costs, with hosted scan history, remediation tracking and API access. Enterprise options cover self-hosting, SSO and custom support. Komment alternatives Alternatives include Cursor and Tabnine for AI coding assistance and OpenHands for autonomous coding agents.

What is Quizgecko? Quizgecko is a quiz generation AI agent offering an AI quiz generator that turns text, documents and URLs into quizzes and flashcards. Quizgecko helps teachers, trainers and students automate quiz generation work and get results faster. Key capabilities of Quizgecko Quiz generation Flashcards Question types LMS export Teacher controls Standards alignment How Quizgecko works Quizgecko takes text, documents and URL as input and produces quizzes. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Google Classroom, Canvas LMS, Microsoft Teams and Google Docs, so the agent works inside existing workflows. Who uses Quizgecko? Quizgecko is built for teachers, trainers and students. It suits teams that want quiz generation and flashcards without adding headcount, while keeping people in control of review and final decisions. Quizgecko vs Quizlet Quizgecko is often compared with Quizlet. Quizgecko stands out for quiz generation and question types. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Weni? Weni is a conversational AI for commerce AI agent offering a conversational AI platform (part of VTEX) for customer service and sales agents on WhatsApp. Founded in 2019 and based in Brazil, Weni helps retailers and brands in Latin America automate conversational AI for commerce work and get results faster. Key capabilities of Weni AI agents for WhatsApp Commerce integrations Human handoff Flows and analytics Local language support Live agent handoff How Weni works Weni takes text as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, Instagram, Facebook Messenger and Salesforce, so the agent works inside existing workflows. Who uses Weni? Weni is built for retailers and brands in Latin America. It suits teams that want AI agents for WhatsApp and commerce integrations without adding headcount, while keeping people in control of review and final decisions. Weni vs Botmaker Weni is often compared with Botmaker. Weni stands out for AI agents for WhatsApp and human handoff. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Leadbay? Leadbay is an AI lead scoring AI agent offering AI that learns from your wins to find and prioritize lookalike leads for SMB sales teams. Founded in 2021 and based in Paris, France, Leadbay helps SMB sales teams in Europe automate AI lead scoring work and get results faster. Key capabilities of Leadbay Lookalike lead discovery AI lead scoring CRM enrichment Territory insights CRM sync Signal alerts How Leadbay works Leadbay takes CRM data and company data as input and produces leads and scores. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Gmail, so the agent works inside existing workflows. Who uses Leadbay? Leadbay is built for SMB sales teams in Europe. It suits teams that want lookalike lead discovery and AI lead scoring without adding headcount, while keeping people in control of review and final decisions. Leadbay vs Keyplay Leadbay is often compared with Keyplay. Leadbay stands out for lookalike lead discovery and CRM enrichment. The right choice depends on your workflow, integrations and budget, so compare both on a real task.