Human experts as API for AI agents — on-demand fallback via MCP
Best for: Developers building autonomous AI agents that need human fallback for edge cases, Teams using agentic coding tools (Claude Code, Cursor, Lovable) who want 24/7 expert support
One-line model serving with Rust speed, MCP, and built-in chatbot.
Best for: Data scientists needing to serve ML models as APIs quickly, AI engineers building generative AI applications with multi-provider endpoint compatibility
One graph query replaces 10 file reads — up to 50× fewer tokens per response for AI coding agents.
Best for: Developers using AI coding agents who want to reduce token costs and latency, Teams working on large monorepos with complex cross-file dependencies
Visual prompt builder: decompose, edit, and compile prompts into Claude-optimized XML.
Best for: Prompt engineers and AI hobbyists who want structured, reproducible prompts, Developers using Claude Code who need programmatic prompt decomposition via MCP
Connect 45+ marketing platforms to ChatGPT, Claude, and Gemini via MCP.
Best for: Marketing agencies managing multiple client accounts with AI chat interfaces, Solopreneurs wanting instant natural-language answers from ad platforms and analytics
One protocol for AI agents to discover, inspect, and call 10,000+ real-world capabilities.
Best for: Developers building financial agents needing live market, risk, and research data, Teams looking to avoid hardcoding multiple API integrations for AI agents
Native macOS workspace for running AI agents, terminals, and browsers across every branch.
Best for: macOS developers working across multiple git branches or projects simultaneously, Engineers running multiple AI agents (Claude, Codex, Gemini) in parallel per environment
Social data API for AI agents via MCP, SDKs, and CLI
Best for: AI agents and developers needing social context without managing platform API keys, Social media managers and brand monitoring teams tracking mentions across multiple platforms
Your personal AI memory layer, now in your terminal.
Best for: Developers who want AI-powered memory without leaving the terminal, Coding agents (Claude Code, Codex, Cursor) needing persistent context across sessions
