{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"CUGA is an enterprise-grade generalist agent framework that orchestrates complex tasks across web interfaces and APIs using configurable reasoning modes, integrated tools (OpenAPI, MCP, LangChain), and policy-driven behavior controls.","skillfed_tags":["agent-framework","enterprise-automation","multi-agent-orchestration"],"use_cases":["Automate multi-step workflows combining web form filling and backend API calls without custom orchestration code","Deploy a domain-specific agent with safety policies (e.g., tool approval gates, output formatting rules) via configuration rather than reimplementation","Build a multi-agent supervisor that routes tasks to specialized agents or external A2A services and aggregates results","Ingest and reason over enterprise documents (PDFs, Office files, HTML) scoped to agent-level or per-session knowledge contexts","Prototype and iterate on agent behavior in a web UI, then publish versioned configurations to production chat or Kubernetes clusters","Integrate custom tools and MCP servers into a reasoning agent without rewriting core orchestration or planning logic"],"what_it_does":"CUGA is a configurable agent harness designed to reduce the engineering burden of building domain-specific enterprise agents. Rather than orchestrating tools, planning logic, and safety policies from scratch, you configure CUGA with your APIs (via OpenAPI specs or MCP servers), tune reasoning modes (fast/balanced/accurate), and layer policies (Intent Guard, Playbook, Tool Approval, Tool Guide, Output Formatter) to govern behavior. It combines web automation (Playwright) and API calls in a single task, supports multi-agent supervision, and includes a knowledge engine for RAG over ingested documents.\n\nThe framework ships with a web UI for drafting and publishing agent configurations, Kubernetes deployment templates for self-hosting, and integrations with LangChain, LangFlow, and external agents. It targets enterprises that need a generalist starting point rather than a blank-slate agent framework, with built-in support for human-in-the-loop approval gates and policy enforcement. Maintenance is active, and the package carries 48 runtime dependencies spanning LLM providers (OpenAI, IBM, Groq, LiteLLM), async HTTP clients, browser automation, and observability tools.","worth_installing":"Yes, if you need an enterprise agent harness with built-in tool orchestration, policy controls, and multi-agent supervision. The active maintenance, permissive license, low install friction, and zero known vulnerabilities support adoption. Start with a quick evaluation on your domain tasks\u2014the benchmarks (AppWorld, WebArena) are strong but domain-specific, so verify reasoning modes and cost tradeoffs fit your workload. Experimental features (save-and-reuse, skills sandbox) are worth monitoring but not blockers for production use of core capabilities."},"id":"cuga","links":{"html":"https://skillfed.io/packages/cuga","md":"https://skillfed.io/packages/cuga.md","pypi":"https://pypi.org/project/cuga/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-03","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"cuga","python_support":"supports_current","summary":"CUGA is an open-source generalist agent for the enterprise, supporting complex task execution on web and APIs, OpenAPI/MCP integrations, composable architecture, reasoning modes, and policy-aware features."},"popularity":{"monthly_downloads":168047,"position":10457,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.1"}