Art & Design

Build stateful multi-agent workflows in Java — with graphs, retries, and persistence

ErgoLogix is an AI-powered, preventative workplace wellness companion designed specifically for software developers and remote students who spend massive stretches of time at their desks. The application serves as a smart, personal physical therapist by connecting real-time workflow telemetry with predictive machine learning.

re!think it. System prompt teaching LLMs to execute two core tasks: complex answers without hallucinations, and creative ideas without clichés. Written in math-like logic, which LLMs parse better than plain language. Built for mid-to-high complexity tasks, featuring a Bypass branch to execute simple prompts directly without added cognitive overhead

Linux-native multi-agent terminal — GTK4/libadwaita + VTE shell, local Unix-socket API, first-class git worktrees, prompt-aware notifications. AGPL-3.0, alpha.

Visualize and manage your Hermes agent fleet through a unified browser dashboard for streamlined orchestration and task delegation.

Execute Python code in Blender from any MCP client using a local server for real-time scene control and bpy automation.

API documentation for Xquik - all-in-one X automation with 120 REST API operations, 2 MCP tools, 23 extraction types, HMAC webhooks, and SDK guides.

Edit and refine Codex context files through a local visual interface to maintain accurate AI model inputs and improve code generation results.

Build durable iMessage AI agents using Nitro, Chat SDK, and Vercel Workflow for reliable message routing and automated responses.

Equip LLMs with specialized Splunk knowledge for architecture, SPL development, administration, and Enterprise Security operations.

Curate a list of bootstrapped and pre-seed AI products built by independent founders.

MCP server for Fitbit — query daily activity, heart rate, sleep, and body data from your Fitbit account in any MCP-compatible AI client (Claude, Cursor, etc.).

🛡️ Professional AI Logic Hub: Accumulate, verify, and reuse high-quality code assets via MCP. Built for human liberation from mundane tasks.

CLI tool for PEC (certified email) — built for AI agents and developers

Local-first nutrition MCP for AI agents: food search, barcode/image lookup, meal logging, hydration, goals and Telegram/Hermes workflows.

MCP server for WHOOP — recovery, strain, sleep, and HRV data for AI agents via Model Context Protocol. Built for self-quantified humans.

Standalone observability dashboard and developer playground for the Laravel AI SDK. Zero build steps. Telescope for your AI agents.

An AI dev agent built local-first. It gives your models direct access to your codebase, file system, and developer tools, turning them from chat assistants into active developers that actually get things done. Works with various providers, just like Claude Code, but private and fully under your control.

Store and retrieve knowledge across AI tools with an MCP server deployed on Cloudflare Workers.

Self-hosted AI workspace built around context management. Works solo, scales to teams.

AI-Powered Monorepo 2026: Design System, React Apps, Fastify APIs & Pulumi IaC

Connect SSH, SFTP, and Docker to MCP clients with persistent sessions that survive restarts.

MCP server that lets Claude Code and other AI agents read large PDFs without hitting context limits. Chunked reading, hybrid search, OCR, table and image extraction, SQLite cache.

Local-first AI agent workbench with a shared Rust core, TUI, and Tauri + Vue desktop GUI.