Everyone’s obsessed with OpenClaw — but have you ever thought about building your own? I built Agenvoy in Go — an open-source agentic framework inspired by OpenClaw, designed security-first, with multi-provider intelligent dispatch. Instead of being locked into a single ecosystem, Agenvoy dynamically routes tasks to the best frontier models while running generated code in a secure environment. Core architecture: - Intelligent Multi-LLM Routing: Integrates 7 backends (OpenAI, Claude, Gemini, Copilot, Nvidia NIM, and Compat/Ollama). A dedicated planner LLM automatically selects the most appropriate provider for each request. - Deep Tool-Call Loops: Drives a tool-call loop of up to 128 iterations to complete complex tasks, utilizing 25+ built-in tools (filesystem, web search, code execution). - Transparent Token Tracking: Every request’s input/output token usage is fully accumulated across all tool-call iterations, making cost monitoring transparent across all providers. - Security-First Execution: Every external command runs inside an OS-native sandbox (bubblewrap on Linux, sandbox-exec on macOS). Symlink-safe path validation blocks access to .env or cloud credentials. - JSON-Driven API extensions: 13+ public APIs bundled out of the box. You can map any custom REST API to the agent using just a JSON file. - Persistent Scheduler: Includes a Discord Bot mode with a task scheduler for cron jobs and callbacks. I’d love to hear your feedback. submitted by /u/pardnchiu
Originally posted by u/pardnchiu on r/ArtificialInteligence