AI Agents Marketplace

What is Modjo? Modjo is an AI revenue intelligence platform that captures business conversations, transcribes calls, updates CRM records automatically and surfaces signals across the sales cycle. The vendor says more than 600 B2B revenue teams use it. Key capabilities of Modjo Call transcription: supports 100+ languages CRM auto-update: summarizes calls and fills CRM fields AI sales agents: ready-made or customizable agents for coaching and deal management Ask Modjo AI: instant answers about deals, prospects and conversations Signal detection: flags expansion opportunities, churn risks and competitor mentions Modjo MCP: brings revenue intelligence into other AI tools How Modjo works Modjo connects to phone and video tools, email and calendars to capture conversations, then transcribes and analyzes them. It writes summaries and field updates to Salesforce or HubSpot, and a Chrome extension exposes data inside the CRM. An open API and MCP server let other tools query it. Who uses Modjo? B2B sales, customer success and revenue operations teams, especially European ones. The vendor names Qonto, Spendesk, Doctolib and Pennylane among customers. Modjo pricing Pricing is based on recording licenses for users whose calls are recorded and analyzed. Listener licenses for managers and leaders are unlimited and included at no extra cost, and all subscriptions get full feature access. The vendor does not publish a price per seat. Modjo alternatives Gong is the best known conversation intelligence platform, Revenue.io adds real-time guidance, Invoca focuses on call tracking, and Marchex analyzes calls for marketers.

What is FeedHive? FeedHive is a social scheduling AI agent offering an AI-powered social media scheduling tool with content recycling and performance prediction. Founded in 2021 and based in Copenhagen, Denmark, FeedHive helps creators and small teams automate social scheduling work and get results faster. Key capabilities of FeedHive AI writing assistant Performance prediction Content recycling Conditional posting Content calendar Engagement analytics How FeedHive works FeedHive takes text and image as input and produces posts and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as LinkedIn, X (Twitter), Instagram and Facebook, so the agent works inside existing workflows. Who uses FeedHive? FeedHive is built for creators and small teams. It suits teams that want AI writing assistant and performance prediction without adding headcount, while keeping people in control of review and final decisions. FeedHive vs Typefully FeedHive is often compared with Typefully. FeedHive stands out for AI writing assistant and content recycling. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Google Agentspace? Google Agentspace is an enterprise search and agents AI agent offering Google enterprise platform for AI search and agents across company data and apps. Founded in 2024 and based in Mountain View, California, USA, Google Agentspace helps enterprises on Google Cloud automate enterprise search and agents work and get results faster. Key capabilities of Google Agentspace Enterprise search Gemini-powered agents Agent gallery Connectors Permission-aware answers Enterprise admin controls How Google Agentspace works Google Agentspace takes text and documents as input and produces text and actions. It is powered by Google Gemini models, with the vendor managing prompts, models and updates. It connects to tools such as Microsoft 365, Google Workspace, Slack and Salesforce, so the agent works inside existing workflows. Who uses Google Agentspace? Google Agentspace is built for enterprises on Google Cloud. It suits teams that want enterprise search and Gemini-powered agents without adding headcount, while keeping people in control of review and final decisions. Google Agentspace vs Glean Google Agentspace is often compared with Glean. Google Agentspace stands out for enterprise search and agent gallery. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Algomatic? Algomatic is an AI agent AI agent offering a Japanese startup building vertical AI agents for recruiting, sales and operations. Founded in 2023 and based in Tokyo, Japan, Algomatic helps Japanese businesses automate AI agent work and get results faster. Key capabilities of Algomatic Recruiting agents Sales automation Document generation Business workflows Japanese document processing Enterprise workflows How Algomatic works Algomatic 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 Microsoft 365, Slack, Salesforce and kintone, so the agent works inside existing workflows. Who uses Algomatic? Algomatic is built for Japanese businesses. It suits teams that want recruiting agents and sales automation without adding headcount, while keeping people in control of review and final decisions. Algomatic vs ExaWizards Algomatic is often compared with ExaWizards. Algomatic stands out for recruiting agents and document generation. 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.

What is Botpress? Botpress is an agent building AI agent offering a platform for building, deploying and monitoring AI agents and chatbots on any channel. Founded in 2016 and based in Montreal, Quebec, Canada, Botpress helps developers and customer experience teams automate agent building work and get results faster. Key capabilities of Botpress Visual agent studio Knowledge base RAG Omnichannel deployment Analytics and human handoff Multilingual conversations File and document understanding How Botpress works Botpress takes text and documents as input and produces text and actions. It is powered by Multiple LLMs (selectable) models, with the vendor managing prompts, models and updates. It connects to tools such as Slack, WhatsApp, Zapier and Google Drive, so the agent works inside existing workflows. Who uses Botpress? Botpress is built for developers and customer experience teams. It suits teams that want visual agent studio and knowledge base RAG without adding headcount, while keeping people in control of review and final decisions. Botpress vs Voiceflow Botpress is often compared with Voiceflow. Botpress stands out for visual agent studio and omnichannel deployment. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

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 Labelf? Labelf is a text classification AI agent offering no-code AI for classifying customer conversations and text for CX insights. Founded in 2018 and based in Stockholm, Sweden, Labelf helps customer service teams automate text classification work and get results faster. Key capabilities of Labelf No-code text classification Conversation tagging CX insights Helpdesk integrations Local language models Developer APIs How Labelf works Labelf takes text as input and produces labels and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as REST APIs, Python, WhatsApp and Hugging Face, so the agent works inside existing workflows. Who uses Labelf? Labelf is built for customer service teams. It suits teams that want no-code text classification and conversation tagging without adding headcount, while keeping people in control of review and final decisions. Labelf vs MonkeyLearn Labelf is often compared with MonkeyLearn. Labelf stands out for no-code text classification and CX insights. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Elephas? Elephas is a Mac AI assistant AI agent offering a personal AI writing and knowledge assistant for Mac, iPhone and iPad with offline options. Elephas helps Mac power users automate Mac AI assistant work and get results faster. Key capabilities of Elephas System-wide writing help Super brain knowledge base Offline models App integrations Source-cited answers Reference manager export How Elephas works Elephas takes text and documents as input and produces text. It is powered by Multiple LLMs (selectable) models, with the vendor managing prompts, models and updates. It connects to tools such as Zotero, Mendeley, PubMed and arXiv, so the agent works inside existing workflows. Who uses Elephas? Elephas is built for Mac power users. It suits teams that want system-wide writing help and super brain knowledge base without adding headcount, while keeping people in control of review and final decisions. Elephas vs Raycast AI Elephas is often compared with Raycast AI. Elephas stands out for system-wide writing help and offline models. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

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.