Developer Tool AI Tools

Open-source autonomous development pipeline for Claude Code that moves from spec and planning through implementation, validation, PR creation, Codex review, and bug triage.

A Claude Code plugin that lets you stash ideas during a session with /stash commands, then pop them back later without losing context.

Open-source CLI and agent infrastructure for handling paid API requests. It detects 402 payment challenges, signs stablecoin payments with a local wallet, supports MCP, and includes a payment debugger plus catalog tooling.

Amnitex is a local, lossless memory layer for MCP-capable AI coding assistants. It installs as a CLI, exposes tools like search, recall, remember, and list keys, and is designed to work across clients such as Claude Desktop, Cursor, Cline, Continue, and Zed.

A macOS menu-bar app that tracks Claude usage pace and estimates whether a subscription will last until reset, with advice on what to change if it won’t.

A pure C implementation for training and running a tiny GPT, with build instructions, sample output, and performance notes for macOS, Linux, and Windows.

A Claude Code status-line tool that estimates per-turn costs, subagent spend, cache rebuilds, and usage limits from local session data.

Open-source security guidance for specific libraries and versions, aimed at developers and coding agents. The repo includes local setup steps, a web site, and an installable skill for agent workflows.

A detailed setup guide for building a two-node AMD Strix Halo cluster with Intel E810 RDMA networking for distributed vLLM inference.

A cross-platform agent skills repository for consensus-based R&D and repo automation. It describes a multi-agent loop that generates independent plans, converges through a meta-judge, and supports platforms like Claude Code, Codex, Cursor, and Gemini.

StateM is a Python CLI for managing long-running AI agents with explicit states, transition checks, runtime history, and resume/compaction support. The repo shows installation, quick-start commands, and a concrete coding-agent runbook example.

Open-source agent communication SDK for connecting AI agents to human channels like Slack, Discord, Telegram, email, WhatsApp, and SMS. The repo shows both Python and TypeScript usage, hosted and self-hosted modes, and a CLI for setup and calling threads.

A governed workflow execution spec for MCP hosts, with fail-closed semantics, version pinning, checkpoint enforcement, and a reference implementation plus conformance suite.

FAAAH is a dependency-free, OpenAI-compatible local proxy that routes requests through text files and AI coding agents. It is aimed at developers who want to reuse an existing agent subscription as a backend for tools that expect the OpenAI API.

Browser automation CLI for AI agents with anti-bot handling, human takeover, parallel multi-session browsing, and isolated multi-account workflows.

A GitHub repository that auto-saves Claude Code sessions to a private repo, with plaintext transcripts for review and age-encrypted JSONL for full restore.

A self-hosted Python runtime for building agentic AI apps with server-driven UI, audit logging, RBAC, sandboxing, and pluggable model orchestration.

Tmux plugin that shows live status markers in window tabs for coding agents like Claude Code, Grok Build, and Pi, with a shortcut to jump to tabs needing attention and optional quota usage display.

A local Rust-plus-Python middleware layer for LLM apps that claims to reduce token usage and add in-process security checks before prompts are sent to a provider.

A macOS command-line tool for on-device AI and voice tasks, including speak, listen, transcribe, chat, and an OpenAI-compatible local server.

An open NDJSON specification for AI crawler ingestion and site content graphs, with examples and reference files in the repository.

INFINI is an open-source portable agent loop spec and reference implementation for defining workflows in a Loopfile and running them across engines. The repo includes a CLI, mock-mode execution, trace comparison, audit checks, and a prototype UI.

Cachet is a local semantic cache for LLM APIs that sits in front of OpenAI- or Anthropic-compatible endpoints and serves repeated or rephrased requests from cache. It includes a dashboard for hit rate and estimated savings, supports streaming responses, and is implemented as a single Rust binary.

A tiny GPT implementation in pure Go, trained on Jules Verne books, with runnable code and notes that explain the model’s evolution and design choices.