Developer Tools / AI / ML Infrastructure
A technical demo that streams Llama-2 weights over Wi‑Fi to run inference on an ESP32 with limited RAM. The repo explains the approach, quickstart steps, performance notes, and the split between ESP32 firmware and a PC host process.
The page clearly describes an AI-related engineering project with a concrete goal: running a Llama-2-style model on ESP32 hardware by streaming weights over Wi‑Fi. The README gives enough visible evidence for a useful listing, including how it works, setup steps, components, and performance notes.
The snapshot does not show a live demo, screenshots, benchmark provenance, or whether the project is actively maintained beyond two commits. A visitor also cannot tell how robust the protocol is outside the stated TinyStories/llama2.c-style setup.
Last evaluated 50 days ago. Current rank #1316. Down 2 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
