Developer Tools AI Tools

CTOP is a terminal-based monitoring tool for AI coding agents. It tracks running sessions, context windows, costs, logs, and process state for tools like Claude Code, Codex CLI, OpenCode, and Devin.

Python toolkit for building LLM agents with MCP servers, skills folders, memory, streaming, and metrics support.

Private skill search for AI coding agents. It helps an agent match abstract capability wishes to vetted skills without sending task details off machine.

A Pomodoro timer for Claude Code that shows a live countdown in the terminal status line and includes a backup alarm, CLI controls, and setup commands.

A self-learning skill layer for Claude Code that distills skills from real sessions, merges near-duplicates, updates skills in use, and prunes unused ones.

TypeScript SDK that adds an agent-facing visualize tool and embedded interactive charts to an MCP server. It supports SQL-backed chart rendering, text fallbacks for non-widget clients, and adapters for several warehouse systems.

A CLI/browser skill for AI agents that turns websites into numbered actions with stable references, persistent sessions, and human handoff for auth, CAPTCHA, and MFA.

Buzz is a self-hostable workspace for humans and AI agents to collaborate in the same threads, with signed events, audit trails, channels, workflows, and code-oriented actions.

Mobile SSH and AI agent IDE for iPhone. It lets developers connect to remote servers, run terminals, browse files, manage git and cron jobs, and deploy or supervise agents from a phone.

FERNme is an open-source memory engine for AI agents that uses fuzzy graphs and Hebbian-style updates to store user preferences with near-zero LLM calls. The repository highlights editable user-owned memory, flat token usage, outcome-based reinforcement, and deployable plumbing via REST and MCP.

Sana is an object-storage-native search database for vectors, full-text search, and attribute filters. The repo describes durability, indexing, backends, operations, and quick-start commands for running the service or demo.

A local Rust CLI for A/B testing two CLAUDE.md files against a fixed SWE-bench Lite smoke set, with doctor, run, and report commands.

NakshGuard is a self-hosted reverse proxy for OpenAI and Anthropic chat APIs that detects and blocks runaway AI agent loops before they waste tokens or API spend. It includes per-agent session tracking, configurable thresholds, shadow mode, and hot config reload.

KINETK is an AI infrastructure product that turns social-web content into a real-time IP graph for creators, communities, and narratives. The site highlights an API and MCP for agents, multimodal embeddings, and a query layer for grounded retrieval.

A local-first, privacy-preserving usage meter for AI coding tools. It reads local transcripts to estimate token usage, cost, focus time, and achievements across tools like Claude Code, Codex, Kimi, and Qwen CLI.

git-lrc is a Git-based AI code review tool that runs on commit and surfaces risk categories, inline findings, and a summary deck for each review.

A tiny single-tasking DOS clone written from scratch in x86 assembly, built to boot and run period games in emulators. The repo includes a detailed README, build instructions, docs, and automated QEMU regression testing.

Local-first governance layer for AI systems that monitors prompts and responses to block secrets, PII, and runaway LLM spending before requests leave the machine.

Python library for managing LLM conversation history with cache-friendly message ordering, dynamic context, and compaction.

Chrome extension that brings AI coding help directly into the browser for debugging, code explanations, security reviews, and solution generation.

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.

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.

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.

A Python filter layer for LLM apps that evaluates responses against a Lean-verified Scherf logic backend and can pass, flag, correct, or block output.