AI Developer Tool / Edge AI / Embedded LLM
An open-source project for running a small LLM and limited agent workflows on ESP32-P4 hardware, with model details, architecture notes, examples, and setup instructions.
The page clearly presents an AI-powered embedded project, not just a concept. The snapshot shows what it does, the target hardware, model size, runtime speed, example chat and agent behavior, and installation steps for flashing and running demos. That gives enough evidence for a useful public listing.
The snapshot does not show a live demo, benchmark comparison, or enough proof of current reliability beyond the author’s own examples. It also does not make clear how well the agent works outside the fixed task format or what hardware revisions are fully supported.
Last evaluated 70 days ago. Current rank #2075. Up 6 spots in the rankings.
A local-first Node.js utility that redacts emails, phone numbers, paths, secrets, URLs, and other identifiers from LLM prompts, then rehydrates responses locally using session-based mappings.
Open-source platform for monitoring AI agents in production, detecting failures, grouping incidents into cases, and investigating root causes with trace and repository evidence.
Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents. It connects files, databases, vector stores, APIs, and MCP tools through one backend with auth, observability, and governance features.
A Claude Code skill that lets the model inspect live camera frames so it can verify hardware displays, spot wiring issues, and check physical UI behavior on real devices.
