Open-source AI agent that plans, executes, and evolves autonomously
Best for: Developers building custom AI agents for task automation with memory, Teams needing a multi-channel AI assistant that integrates with WeChat, Telegram, Slack, etc.
Open-source AI-native IAM with MCP server and OAuth 2.1 for agents.
Best for: Enterprises adopting AI agents who need identity and access management with MCP support, Teams building SaaS platforms requiring integrated billing and auth
One shared memory for all your apps and AI agents—never re-explain yourself.
Best for: Builders and vibe coders using multiple AI coding agents (Claude, Cursor, Codex), Knowledge workers who rely on scattered tools for project context
Open-source, self-hosted backend for AI coding agents to ship full-stack apps from chat.
Best for: Developers using AI coding agents to build full-stack apps from chat prompts, Teams wanting a self-hosted, open-source backend with no vendor lock-in
Self-host the open-source Claude Managed Agents alternative on Cloudflare or Docker
Best for: Developers building custom agent platforms who want full control over the loop and runtime, Teams needing to self-host AI agents for data residency or compliance on their own Cloudflare account or VPS
Managed MCP hosting: connect AI agents to 5,800+ apps without code.
Best for: Developers who want AI agents to execute real-world tasks without building MCP servers, AI power users using Claude, ChatGPT, or Cursor who need automation beyond text responses
Fix bugs 10x faster by giving AI agents browser context via one link.
Best for: Solo developers debugging with AI coding agents like Claude Code or Cursor, Small teams collaborating on bug fixes with AI agent context sharing
Open-source MCP server for managing MikroTik RouterOS via natural language.
Best for: Network engineers managing multiple MikroTik routers who want to automate via natural language., IT administrators performing repetitive RouterOS tasks like VLAN provisioning or firewall rule updates.
Modular no-code work OS that lets AI agents (Claude, ChatGPT) query and update your data.
Best for: Product teams building custom workflows connecting insights, tasks, and roadmap, Digital agencies managing clients, projects, and CRM in one place
MCP plugin that keeps raw data out of LLM context, saving up to 98% tokens.
Best for: Individual developers using AI coding agents who want to reduce token costs, Engineering teams seeking visibility into AI tool usage without sacrificing privacy
Best for: AI agent developers building autonomous research or shopping assistants, Developers needing a single API for multiple web and social platforms
One CLI to give AI agents image, video, audio, web, and storage capabilities.
Best for: Developers building agentic workflows needing media generation or web search, Teams wanting a unified capability layer across multiple coding agents
Local code-graph MCP server giving AI agents structural awareness before they edit.
Best for: Engineering teams running AI coding agents (Cursor, Claude Code, Codex) in real repos, Platform teams wanting structural pre-merge gates for AI-generated code
