AI Agents Marketplace

What is Supermemory? Supermemory builds infrastructure for memory and continuous learning in AI agents. It is a layer separate from model providers, so any AI system can learn and improve regardless of which model or interface it uses. Key capabilities of Supermemory learner-1 model: Extracts context from users, tasks and tenants into a vector-graph database Context injection: Returns relevant learned information into agent context in real time Time-aware memory: Builds interconnected knowledge that grows with use Multi-model support: Works across ChatGPT, Claude, Cursor, Hermes and MCP integrations Flexible deployment: Cloud API, self-hosted in a VPC or data center, local, or air-gapped Compliance: SOC 2 certified, HIPAA compliant and GDPR aligned How Supermemory works Your app or agent sends content and conversations to Supermemory. The learner-1 model extracts context about users, tasks and tenants and stores it in a vector-graph database, and at query time Supermemory returns the relevant tokens to inject into the agent's context. The vendor reports 187ms server search time and over 1 trillion tokens processed monthly. Who uses Supermemory? Supermemory is used by developers building agents and AI apps that need persistent memory, and the vendor says it serves 100k+ organizations. Enterprises can use custom contracts and data processing agreements. Supermemory pricing Per published pricing coverage, the Free plan is $0 with 1M tokens processed and 10K search queries, Pro is $19 per month with 3M tokens and 100K queries, Max is $100 per month, and Scale is $399 per month with 80M tokens and 20M queries. Enterprise is custom. Overage is $0.01 per 1,000 tokens and $0.10 per 1,000 queries on paid plans. Supermemory alternatives Alternatives include Cognee and Graphlit for graph-based memory and data pipelines, Julep for agent workflows, and Hopsworks and ZenML for ML infrastructure. Supermemory focuses on a model-agnostic memory layer.

What is 7AI? 7AI is an agentic security operations platform that automates repetitive SOC work so analysts can focus on high-judgment tasks. It investigates and triages alerts at scale and shows its reasoning for every investigation. Key capabilities of 7AI Alert investigation and triage: handled at scale by AI agents Detection optimization: tunes detections across existing tools Response suggestions: automated remediation recommendations Federated SIEM and threat hunting: part of the core platform Enterprise context: skills and insights capture your environment Posture scoring: scores security posture against frameworks How 7AI works 7AI plugs into your existing security stack without workflow changes, investigates each alert with agents, records its reasoning, and suggests response or remediation. It is delivered as Service as Software, and the PLAID ELITE managed option adds 24/7 expert oversight. Who uses 7AI? Security operations teams that want to reduce tier 1 analyst workload. DXC Technology, Duck Creek and BigID are named customers, and DXC's CISO cites an 80% reduction in tier 1 analyst time. 7AI pricing 7AI does not publish prices. The platform, the PLAID ELITE managed service and the on-demand DFIR service are quoted by the vendor. 7AI alternatives Dropzone AI, Prophet Security and Radiant Security also offer AI SOC analysts, while PagerDuty and Datadog Bits AI address incident response and observability.

What is Lightly? Lightly is a vision data curation AI agent offering a data curation platform that selects the most valuable images and video frames to label and train on. Founded in 2019 and based in Zurich, Switzerland, Lightly helps computer vision teams automate vision data curation work and get results faster. Key capabilities of Lightly Active learning Data selection Embedding-based curation Self-supervised learning Quality assurance workflows Workforce management How Lightly works Lightly takes image and video as input and produces datasets. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as AWS S3, Google Cloud Storage, Azure Blob and Hugging Face, so the agent works inside existing workflows. Who uses Lightly? Lightly is built for computer vision teams. It suits teams that want active learning and data selection without adding headcount, while keeping people in control of review and final decisions. Lightly vs Voxel51 Lightly is often compared with Voxel51. Lightly stands out for active learning and embedding-based curation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is SoundHound? SoundHound is a conversational voice AI AI agent offering conversational voice AI platform powering restaurant ordering, in-car assistants and customer service agents. Founded in 2005 and based in Santa Clara, California, USA, SoundHound helps restaurants, automakers and enterprises automate conversational voice AI work and get results faster. Key capabilities of SoundHound Restaurant phone and drive-thru ordering In-vehicle voice assistants Customer service voice agents Amelia agentic AI 24/7 call handling POS integration How SoundHound works SoundHound takes audio as input and produces audio and actions. It is powered by SoundHound (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as Toast, Square, Olo and Clover, so the agent works inside existing workflows. Who uses SoundHound? SoundHound is built for restaurants, automakers and enterprises. It suits teams that want restaurant phone and drive-thru ordering and in-vehicle voice assistants without adding headcount, while keeping people in control of review and final decisions. SoundHound vs Presto SoundHound is often compared with Presto. SoundHound stands out for restaurant phone and drive-thru ordering and customer service voice agents. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Keye? Keye is an AI platform that automates private equity due diligence, transforming deal files into structured outputs for investors. It runs data cuts, calculations and anomaly detection, and links results to their sources. Key capabilities of Keye Automated data cuts: Slices raw financial data Calculations: Runs real calculations on the data Anomaly detection: Flags unusual items Trend analysis: Surfaces cohort trends, margin compression and cost drivers Source linking: Audit-grade transparency to the underlying files Excel exports: Excel-ready outputs with audit trails How Keye works Analysts upload deal files, Keye processes the raw data into structured insights and returns outputs with source links and a complete audit trail that exports to Excel. It states it uses zero data retention and end-to-end encryption and does not train on user data. Who uses Keye? PE firms; Keye cites $1.4T plus combined AUM across client funds, with firms from $5B to $45B plus AUM. It claims 5+ days saved per deal. Keye pricing Keye does not state pricing on its site. Demo requests are available. Keye alternatives Alternatives include Hebbia for document analysis, AlphaSense for market intelligence, and Rogo for finance AI.

What is Readdy? Readdy is an AI website designer that turns a conversation into a designed, publishable website. Projects can be published with custom domains on paid plans, and designs can be exported to Figma. Key capabilities of Readdy Conversational design: Describe a site and Readdy builds it. Publishing: Sites with custom domains on paid plans. Figma export: Move designs to Figma. Credit Care: Monthly refund allowance for credits. Team access: 1 to 50 editors by tier. White-label: Agency Pro and Ultimate. GitHub integration: Higher tiers. How Readdy works You chat with the AI to generate pages, refine them, then publish. Usage is metered in credits, and paid plans include sites, projects and storage that rise by tier. Who uses Readdy? Founders, small businesses and agencies. Agency tiers add multiple sites and white-label options. Readdy pricing Prices below are billed annually. Free is $0 with 250 credits per month and 2 projects. Starter is $15 per month, Pro is $24, Agency is $72, Agency Pro is $119 with unlimited credits and white-label, and Ultimate is $779 with 50 editors. Readdy alternatives Banani and Creatie generate UI designs, Looka focuses on logos and brand kits, and Musho is a website design studio. Readdy goes from chat to a published site.

What is Lightcast? Lightcast is a labor market intelligence AI agent offering labor market data and AI for skills, jobs and workforce planning. Founded in 2021 and based in Moscow, Idaho, USA, Lightcast helps employers, colleges and governments automate labor market intelligence work and get results faster. Key capabilities of Lightcast Skills taxonomy Job posting analytics Workforce planning Education alignment Benchmarks Action planning How Lightcast works Lightcast takes labor data as input and produces insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Workday, SAP SuccessFactors, Microsoft Teams and Slack, so the agent works inside existing workflows. Who uses Lightcast? Lightcast is built for employers, colleges and governments. It suits teams that want skills taxonomy and job posting analytics without adding headcount, while keeping people in control of review and final decisions. Lightcast vs Draup Lightcast is often compared with Draup. Lightcast stands out for skills taxonomy and workforce planning. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Tellius? Tellius is a decision intelligence AI agent offering an AI decision intelligence platform with natural-language search and automated insights. Founded in 2016 and based in Reston, Virginia, USA, Tellius helps commercial analytics teams automate decision intelligence work and get results faster. Key capabilities of Tellius Natural-language search Automated root-cause insights Agentic analytics Pharma and CPG data Chart generation Scheduled reports How Tellius works Tellius takes text and database data as input and produces insights and charts. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Snowflake, BigQuery, PostgreSQL and Google Sheets, so the agent works inside existing workflows. Who uses Tellius? Tellius is built for commercial analytics teams. It suits teams that want natural-language search and automated root-cause insights without adding headcount, while keeping people in control of review and final decisions. Tellius vs ThoughtSpot Tellius is often compared with ThoughtSpot. Tellius stands out for natural-language search and agentic analytics. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Skybox AI? Skybox AI, from Blockade Labs, generates seamless 360-degree environments from text prompts and visual controls for games, XR, virtual production and spatial design. Key capabilities of Skybox AI 360 skybox generation: Seamless environments from prompts Style presets: Style options for different looks Sketch mode: Guide generation with sketches Depth maps: Depth output for 3D use HDRI and meshes: Offered on higher plans per third-party reports Engine support: Unity, Unreal Engine, Blender and WebXR workflows How Skybox AI works You enter a prompt, choose a style or sketch, and Skybox AI generates a 360 image you can export for engines. Higher plans add 8K and 16K exports and an API. Who uses Skybox AI? Game developers, XR creators and designers needing quick backgrounds. Skybox AI pricing Per third-party listings, a free preview gives 5 credits with no exports, Essential is $24 per month, Standard $60 and Business $140, with commercial licensing on paid plans. Annual billing is about 20 percent less. Skybox AI alternatives Alternatives include Dreamina and Getimg.ai for image generation and Clipdrop for image tools.

What is Flint? Flint is an AI tutor for schools AI agent offering an AI platform for schools with personalized tutoring and teacher-created AI activities. Flint helps K-12 schools automate AI tutor for schools work and get results faster. Key capabilities of Flint AI tutoring Teacher-created activities Feedback on work School controls Teacher controls Standards alignment How Flint works Flint takes text and documents as input and produces text. It is powered by Multiple LLMs (managed) models, 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 Flint? Flint is built for K-12 schools. It suits teams that want AI tutoring and teacher-created activities without adding headcount, while keeping people in control of review and final decisions. Flint vs Khanmigo Flint is often compared with Khanmigo. Flint stands out for AI tutoring and feedback on work. The right choice depends on your workflow, integrations and budget, so compare both on a real task.