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A suite of three native macOS apps: Crest for notch-based control, Take for screen recording, and Minutes for on-device meeting notes. The page emphasizes offline use, local processing, one-time pricing, and how the apps work together on a MacBook notch.

A Windows tray widget that shows Claude Code and Codex rate-limit usage, reset times, and burn pace. It runs locally, uses the user’s own Claude OAuth token and Codex CLI data, and includes install and build instructions.

A local-first longevity research workspace that combines a bilingual knowledge library, AI-assisted note capture, and evidence-oriented search across public biomedical sources.

A GitHub repository that turns untrusted source material into compact AI skills using evidence gates, validation steps, and audit output.

Open-source Python library that lets developers integrate an LLM into the Python runtime so missing attributes, methods, and typed values can be inferred on demand with confidence scores.

A type-safe Go runtime for building tool-using LLM agents across multiple providers, with streaming, memory, and OpenTelemetry support.

An open-source web font system that renders protected text normally for readers while serving a decoy version to scrapers that read raw HTML.

Memsprout is a shared AI-context layer for teams. Its docs show an MCP server, team spaces, role-based access, and a quickstart for connecting agents and sharing memories across teammates' clients.

A local MCP server that lets AI apps like Claude Desktop and Codex search, read, create, update, open, trash, and restore macOS sticky notes with permission-based access.

A Rust-based coding agent built for speed, low memory use, and Claude Code compatibility. The project highlights support for skills, hooks, MCP, plugins, sub-agents, and multiple LLM providers, with terminal, headless, and IDE-facing entry points.

A single-binary software catalog for platform engineering with auto-discovery, dependency graphs, scorecards, and a native MCP server for AI coding agents.

Banksia is an open-source Python project for building and running accountable AI teams. The repo shows a CLI install flow, a local console, workflow studio, run monitoring, and support for reusable teams and durable state.

A GitHub repository for connecting AI agents to a real iPhone so they can call or text you, using a Claude Code plugin and a standalone agent skill/CLI.

A private, local-first browser extension for reading articles and PDFs with on-device AI summaries, text-to-speech, and local search.

OpenSmith is a local-first, open-source alternative to LangSmith for tracing Python LLM pipelines. It supports decorators, context managers, console output, autopatching, CLI commands, local SQLite storage, and optional Postgres and OpenTelemetry integrations.

Open-source agent-first display server for safely running human and AI-driven GUI sessions with per-app isolation and capability-scoped authorization.

A curated GitHub resource mapping AI token costs, waste, and efficiency practices for agentic coding. It combines an awesome list with editorial notes, practices, concepts, claims, and copy-paste setups.

Habit Pocket is a habit tracker that logs numbers, times, and checkmarks to help users spot patterns in sleep, mood, energy, and daily routines. It also connects to AI assistants over MCP for chat-based logging and analysis.

Bookshelf adds book quotes into Claude Code and Codex sessions between turns, with optional ambient delivery, on-demand quote commands, and local privacy-focused behavior.

Cinchor provides tamper-evident accountability records for AI agent actions, letting users verify a real decision against an on-chain record and test whether any field has been altered.

Persistent cloud compute for AI agents, paired with an OpenAI-compatible model hub and usage caps from one account.

Local-first change control for agent skills, with evidence-gated promotion, SkillOpt optimization, and MCP-based serving of skills.

Self-hosted registry and analytics platform for internal AI components like Skills, MCP servers, agents, hooks, and prompts. The page explains the problem it solves, supported harnesses, and the basic server/CLI setup flow.

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.