Recently Evaluated

A CLI tool that keeps Claude Code, Codex, and GLM 5-hour rate-limit windows continuous by auto-pinging providers when a window resets.

A macOS desktop shell where apps are generated by Claude into interactive HTML mini-apps, with local system features like windows, dock, file storage, notifications, and persona-based themes.

An open-source shim that lets Cursor canvas .tsx files render on the web by aliasing cursor/canvas to a Mantine-backed implementation. Includes install steps, runtime setup, supported API coverage, limitations, and a live example deployment.

A cross-platform desktop app that turns raw screenshots into polished visual assets, with local privacy redaction, OCR, and an AI bug agent for reports.

Aquifer is a self-hosted MCP gateway runtime for buffering spiky agent and API traffic. It queues requests durably in SQLite, dispatches them at a configurable rate, and supports both MCP and HTTP adapters with webhook delivery.

AI sales agent for cold outreach that finds prospects, personalizes messages, and follows up across email, text, LinkedIn, and X until someone replies.

An arXiv paper on reducing LLM inference cost for web automation by compiling browser tasks into a deterministic JSON workflow and executing them without repeated model calls.

A CLI tool that shares Claude Code sessions across a team by storing transcripts and memory on an orphan Git branch, so teammates can pull, resume, push, and delete sessions without extra infrastructure.

Lathe generates multi-part, hands-on technical tutorials from prompts and provides a local UI plus CLI workflow for working through them with LLM-assisted skills.

An interactive guide and demo for prompt engineering that shows how analogies, examples, and format-matching can improve LLM outputs.

A minimal native macOS sandbox for running Claude Code or Codex with OS-enforced limits on what the agent can touch.

A cross-platform Claude Code dashboard for tracking usage limits, token spend, and session forecasts in a single binary with no config.

An open-source handbook for production LLM serving and inference at scale, covering GPU fundamentals, KV cache, batching, quantization, speculative decoding, and engines like vLLM, SGLang, and TensorRT-LLM.

Nanocode is a terminal-based AI coding assistant written in Python. The repo shows CLI install and usage instructions, runtime commands, configuration options, supported providers, and a detailed description of its context and file-editing workflow.

A Python MCP server that lets a parent LLM delegate work to named sub-agents defined in YAML, with per-agent prompts, model settings, and downstream MCP tool access.

Omni is a local-first semantic search app for macOS that indexes text, code, PDFs, images, audio, and video on-device. It supports multilingual search, private offline use, and exposes a local endpoint for agents to query indexed files.

A small web app for taking a break from AI and recording a short session away from LLMs.

A lightweight terminal AI sidecar for Zellij that keeps quick questions separate from your main agent session, with local JSONL logging, SQLite search, and multiple LLM provider options.

A custom Iosevka font build inspired by Anthropic Mono, with prebuilt releases and source build instructions.

A MotherDuck blog interview with Wes McKinney on practical AI coding workflows, including spec-driven development, continuous AI code review, and how to keep agent-generated code maintainable.

Local-first agentic coding assistant in Rust with a terminal UI, embedded web UI, phone app, always-on gateway, and LAN grid dispatch across multiple machines.

Public GitHub repository describing how to access a large Powerset Research GitHub dataset through an MCP server or DuckDB. Includes no-auth access, schema-aware SQL use, and example queries for agents and analysts.

Intencion is a product analytics and observability platform for AI agents. It tracks user intent, tool calls, run outcomes, and resolution trends, then turns failures or unmet requests into Linear or GitHub issues.

Jo is a secure programming language designed to help catch prompt injection and other unsafe behavior at compile time by enforcing explicit capability boundaries. The repository shows the language’s security model, code examples, installation flow, and current project status.