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Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.
Open-source, self-hosted app to manage teams of AI agents like a company - org chart, goals, budgets and per-agent approvals.
Searchable directory of open-source AI agent 'skills' (SKILL.md files) for developers building with Claude, Codex, or ChatGPT agents.
ByteDance's no-code platform for building and deploying AI chatbots and agents with plugins and workflows.
No-code platform for creating and chatting with custom AI characters, scenarios, and shared fictional worlds.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦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
- ✦Manage teams of AI agents
- ✦Bring-your-own-agent (any runtime/provider)
- ✦Org chart with roles and reporting lines
- ✦Goal alignment for tasks
- ✦Per-agent budget and cost controls
- ✦Ticket system with full audit trail
- ✦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
- ✦No-code bot and agent builder
- ✦LLM-powered conversations
- ✦Plugin ecosystem
- ✦Visual workflow builder
- ✦Knowledge base (RAG)
- ✦Multi-channel publishing
- ✦Character creation without coding
- ✦Scenario-based interactive chat experiences
- ✦Browsable library of community-created worlds and creators
- ✦Filtering by type, language, and tags
- ✦Account-based login and creation dashboard
- →Building AI agents and chatbots
- →Creating RAG-based knowledge apps
- →Deploying LLM apps at enterprise scale
- →Orchestrating agents across business functions
- →Running dev, marketing and research agents
- →Building autonomous-business workflows
- →Governing and budgeting agent work
- →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
- →Building customer-support bots
- →Deploying agents to messaging channels
- →Automating workflows
- →Prototyping AI assistants
- →Writers and hobbyists building interactive AI characters
- →Roleplay-style chat with custom personas
- →Exploring community-made scenarios and worlds