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Agent Platforms Frameworks Building Tools Agent Platforms Orchestration AI Agents AI Agents Infrastructure

Glean

✓ verifiedPaid

Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.

3.2M visits/mo

Dify.ai

✓ verifiedFreemium

Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.

1.1M visits/mo

Abacus.AI

✓ verifiedPaid

AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.

4.3M visits/mo

Agent Skills Marketplace

✓ verifiedFree

Searchable directory of open-source AI agent 'skills' (SKILL.md files) for developers building with Claude, Codex, or ChatGPT agents.

777K visits/mo

Pricing

No public pricing

Sandbox: Free (200 message credits)

Professional: $590/workspace/year

Team: $1,590/workspace/year

No public pricing

Core features

✦Enterprise search across company apps
✦Personal AI assistant grounded in work data
✦Agent builder, orchestration and governance
✦250+ connectors and actions
✦Enterprise knowledge graph and hybrid search
✦Security controls for scaling AI

✦Visual workflow studio for agents
✦RAG knowledge pipelines
✦Agent runtime with tools and memory
✦Marketplace of models and plugins
✦Publish as app, API or MCP tool
✦Logging, analytics and monitoring

✦ChatLLM access to multiple top AI models
✦AI agents and automation
✦No-code full-stack app creation
✦Enterprise generative AI platform
✦Structured ML model building
✦Optimization and forecasting

✦Full-text search across millions of indexed SKILL.md files
✦Browse skills by creator or by occupation category
✦Inspect GitHub source links for each skill before use
✦REST API access to the skill catalog
✦One-click running of skills inside supported agent platforms

Use cases

→Search across all company knowledge
→Answer employee questions with grounded AI
→Build and deploy custom AI agents
→Automate cross-system workflows

→Building AI agents and chatbots
→Creating RAG-based knowledge apps
→Deploying LLM apps at enterprise scale

→Chat with many AI models in one place
→Build and deploy ML models
→Automate tasks with AI agents

→Finding an existing agent skill instead of writing one from scratch
→Comparing similar skills across different creators
→Building custom search or analytics on top of the skill catalog via API
→Discovering skills relevant to a specific job function

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