AI Agents Marketplace

What is UserGems? UserGems is a buying signals AI agent offering AI that tracks champion job changes and buying signals and turns them into personalized outreach. Founded in 2019 and based in San Francisco, California, USA, UserGems helps B2B sales and marketing teams automate buying signals work and get results faster. Key capabilities of UserGems Champion job-change tracking New hire signals AI-written outreach CRM automation CRM sync Signal-based workflows How UserGems works UserGems takes CRM data and signals as input and produces leads and email. 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 Clay, so the agent works inside existing workflows. Who uses UserGems? UserGems is built for B2B sales and marketing teams. It suits teams that want champion job-change tracking and new hire signals without adding headcount, while keeping people in control of review and final decisions. UserGems vs Warmly UserGems is often compared with Warmly. UserGems stands out for champion job-change tracking and AI-written outreach. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is InLinks? InLinks is an SEO platform built around entities and semantic search, helping sites show search engines what topics their content covers. Key capabilities of InLinks Topic planning: Clusters concepts into topics and surfaces content gaps. Schema automation: Communicates entities to search engines through structured data. Internal linking: Entity-based analysis inserts relevant internal links across a site. Content briefs: Topic maps, heading analysis, entity mapping and structure suggestions. AI writing assistant: Generates optimized content at no extra cost. How InLinks works InLinks analyzes your pages with its knowledge graph to identify main entities, then structures recommendations and applies them through the dashboard or a JavaScript snippet that inserts internal links automatically. Exports allow manual implementation, and Agency plans add API access. Who uses InLinks? SEO freelancers, agencies and in-house teams. The vendor reports over 23,000 users and shares a case study growing from 32K to 61K keywords in 3 months. InLinks pricing Free is $0 with 2 monthly optimizations and 25-page linking. Freelancer starts at $49 per month for 100 pages with full AI content, and Agency starts at $196 per month with 430+ pages, API and unlimited users. Enterprise is custom. InLinks alternatives Outranking and SEO.ai combine AI writing with SEO workflows, Letterdrop targets B2B content, and Promptwatch and Knowatoa track AI search visibility. InLinks is distinct for entity-based internal links and schema.

What is FLORA? FLORA is an AI-powered canvas for designers, brand teams and agencies to generate, edit and produce visuals using many AI models in a single workspace. Key capabilities of FLORA Multi-model canvas: Access to 50+ text, image and video models in one subscription. Techniques: Reusable workflow templates built by creators. Real-time collaboration: Team iteration on shared canvases. Scalable production: Scale one concept into hundreds of production outputs. FAUNA assistant: AI assistant, annotations and a layer editor. API and MCP access: Available on paid plans. How FLORA works You work on an infinite canvas where generation nodes connect text, image and video models. Models named by the vendor include Nano Banana Pro, FLUX variants, Gemini 3 Pro, Veo3, Kling 3.0, Sora 2, Stable Diffusion 3.5 and Recraft V4. Usage is metered from a monthly shared dollar pool that grows with headcount, and usage is visible per project and member. Who uses FLORA? Designers, brand teams and agencies. The vendor mentions teams from Pentagram, Lionsgate, Base Design and Hard Launch, and reports $42 million raised. FLORA pricing Free is $0 with 1 seat, 3 active projects and up to 17 generations per month. Starter is $18 per seat per month, Pro $50 and Max $200. Enterprise is custom for teams of 9 or more. FLORA alternatives Lovart and Vizcom are AI design tools, while Kaedim, Sloyd and Masterpiece X generate 3D assets. FLORA is a multi-model 2D and video canvas.

What is LiblibAI? LiblibAI is an AI image community AI agent offering a Chinese AI art platform and model community for sharing models and generating images online. Based in China, LiblibAI helps AI artists and designers automate AI image community work and get results faster. Key capabilities of LiblibAI Model community Online generation LoRA training Workflow tools Chinese language models Agent and workflow builder How LiblibAI works LiblibAI takes text and images as input and produces images. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WeChat, Feishu, DingTalk and REST APIs, so the agent works inside existing workflows. Who uses LiblibAI? LiblibAI is built for AI artists and designers. It suits teams that want model community and online generation without adding headcount, while keeping people in control of review and final decisions. LiblibAI vs Civitai LiblibAI is often compared with Civitai. LiblibAI stands out for model community and LoRA training. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is VoltAgent? VoltAgent is an open-source TypeScript framework for building AI agent systems. It pairs the framework with VoltOps, a cloud console for observability, evaluation and deployment. Key capabilities of VoltAgent Type-safe agents: TypeScript APIs for defining agents Tool calling: lets agents act on external systems Multi-provider API: one API across AI model providers Persistent memory: agents retain context across runs Supervisor orchestration: a supervisor agent coordinates multi-agent systems Workflow Chain API: builds multi-step agent workflows RAG: retrieval augmented generation support VoltOps observability: traces, debugging, evals and prompt versioning How VoltAgent works Developers write agents in TypeScript with the open-source framework, attaching tools, memory, retrieval and workflows. VoltOps then monitors LLM calls, lets teams debug agent behavior, run evaluations, manage and version prompts, and deploy to production with triggers and actions. Who uses VoltAgent? VoltAgent is for TypeScript developers and engineering teams building production agent systems who want observability and deployment alongside the code framework. VoltAgent pricing The framework is MIT licensed and free. VoltOps has a Developer plan at $0 per month, Core at $50 per month, Pro at $250 per month and a custom Enterprise plan. Core and Pro include 14-day free trials, and overages apply beyond plan limits. VoltAgent alternatives Alternatives include Klavis AI and Smithery for MCP server tooling, and CodeRabbit for AI code review, though VoltAgent is an agent framework itself.

What is StepFun? StepFun, known in Chinese as 阶跃星辰, is an AI company that builds the Step series of language, multimodal and speech models. It exposes them through a platform with a unified API and a no-code AI Studio. Key capabilities of StepFun Step 5 Preview: Next-generation flagship model for real-world tasks. Step 3.7 and 3.5 Flash: Faster model variants. StepAudio 3: Realtime speech, TTS, generation, music and ASR. One API: Language, speech and image models through one integration. AI Studio: No-code interface for trying models. Step Plan: Subscription service with model routing. How StepFun works Developers register on the platform, obtain an API key and call public models with pay-as-you-go billing. The vendor supports standard OpenAI client libraries and REST, with Python and curl examples. Step 3.7 Flash is described by third parties as a 196B-parameter mixture-of-experts model with a 256K context window. Who uses StepFun? Developers and companies that want Chinese-developed multimodal and speech models behind an OpenAI-compatible API, plus consumers via StepFun apps. StepFun pricing The vendor describes pay-as-you-go billing without listing rates on the page reviewed. Third-party trackers cite Step 3.5 Flash from $0.09 per million input tokens and Step 3.7 Flash at $0.20 input and $1.15 output per million tokens. StepFun alternatives Related tools include Vast.ai, DeepInfra, fal, Hyperbolic and Nebius, which host and serve models rather than develop their own Step series.

What is Sourcegraph Cody? Sourcegraph Cody is an AI coding assistant that grounds answers in Sourcegraph's code search and graph across large, multi-repository codebases. Sourcegraph ended Cody Free and Pro in mid-2025 and positions Cody for enterprise customers. Key capabilities of Sourcegraph Cody Codebase-aware chat: Questions answered with context from your repositories. Code completion: Autocomplete in supported editors. Inline edits: Request and apply changes to selected code. Cross-repository context: Pull in context from many repositories via Sourcegraph. Custom commands: Save reusable prompts for common tasks. How Sourcegraph Cody works Cody retrieves relevant code from the customer's Sourcegraph instance, adds it to the model prompt and returns answers, completions or edits in the IDE. Because context comes from Sourcegraph search, it can reach beyond the open files to other repositories on connected code hosts. Who uses Sourcegraph Cody? Large engineering organizations with many repositories and an existing Sourcegraph deployment use it. Individual developers who relied on the former Free and Pro plans were pointed to Sourcegraph's Amp agent. Sourcegraph Cody pricing Third-party sources report that Cody is now sold only on the Enterprise plan at about $59 per user per month on an annual contract. Cody Free, Pro and Enterprise Starter were discontinued in 2025. Sourcegraph Cody alternatives Continue is an open-source assistant, GitHub Copilot is the most widely used editor assistant, and Augment Code emphasizes deep codebase context. Cody differs by building on Sourcegraph code search.

What is Cognism? Cognism is a sales intelligence AI agent offering premium B2B sales intelligence with phone-verified contacts and intent data. Founded in 2015 and based in London, United Kingdom, Cognism helps sales teams in EMEA and North America automate sales intelligence work and get results faster. Key capabilities of Cognism Phone-verified mobile numbers GDPR-compliant data Intent signals CRM enrichment Buying signals How Cognism works Cognism takes search filters as input and produces contact data. 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 Outreach, so the agent works inside existing workflows. Who uses Cognism? Cognism is built for sales teams in EMEA and North America. It suits teams that want phone-verified mobile numbers and GDPR-compliant data without adding headcount, while keeping people in control of review and final decisions. Cognism vs ZoomInfo Cognism is often compared with ZoomInfo. Cognism stands out for phone-verified mobile numbers and intent signals. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Snaptrude? Snaptrude is an AI BIM design AI agent offering a browser-based BIM design platform with AI to go from early design to Revit-ready models. Snaptrude helps architects automate AI BIM design work and get results faster. Key capabilities of Snaptrude AI space planning Browser BIM Revit interoperability Collaboration Export to CAD and BIM Design variations How Snaptrude works Snaptrude takes text and sketches as input and produces 3D models. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Revit, Rhino, AutoCAD and SketchUp, so the agent works inside existing workflows. Who uses Snaptrude? Snaptrude is built for architects. It suits teams that want AI space planning and browser BIM without adding headcount, while keeping people in control of review and final decisions. Snaptrude vs Revit Snaptrude is often compared with Revit. Snaptrude stands out for AI space planning and Revit interoperability. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Seldon? Seldon is a Kubernetes-native MLOps company whose Seldon Core 2 framework deploys, manages and scales traditional ML models and LLM applications. Its MLServer inference server is open source, and REST and gRPC inference follows the Open Inference Protocol. Key capabilities of Seldon Kubernetes model serving: deploys models at scale MLServer: open-source inference server for multiple frameworks Monitoring and drift: observes production models Explainability: explains predictions via Alibi LLM deployment: supports LLM applications Multi-model serving: runs many models efficiently How Seldon works Teams define models and pipelines in Kubernetes and Seldon Core 2 serves them through REST or gRPC endpoints that follow the Open Inference Protocol. MLServer runs the models, with multi-model serving. Monitoring and explainability components help watch drift and understand predictions. Seldon Core 2 was released in January 2024 under the Business Source License. Who uses Seldon? ML platform and MLOps teams running models on Kubernetes use it. Enterprises can choose Seldon Enterprise Platform or Core+ for support and unlimited models and users. Seldon pricing MLServer is free under Apache 2.0, and Seldon Core 2 is source-available under BSL 1.1 that converts to Apache 2.0 four years after each version. Seldon Enterprise Platform and Core+ use custom annual pricing. Third-party sources report these figures. Seldon alternatives Alternatives include ZenML for pipeline orchestration, Evidently AI for monitoring and drift, Amazon SageMaker for managed ML on AWS, Vertex AI for managed ML on Google Cloud, and Hugging Face for model hosting.