#agents

Coach

Turn an agent's execution traces into a queryable model of what it did — served back to the agent over MCP.

Shadow

Behavior contracts for AI agents

Extracto

Your private document brain. PDFs in, RAG out. Self-hosted. Plug everywhere.

Looplet

The tool-calling loop for LLM agents; iterator-first, protocol-hooked, one dependency.

Humanjs

Humanize browser automation for AI agents, QA tests, and demos. Playwright-first — record sessions to video or runnable tests, and drive it...

Launch Control

Launch Control — a 12-episode LinkedIn series building a launch-management system on Microsoft Dataverse: data model, agents (declarative +...

Distil

Compression with a quality contract — cache-aware, causally-pruned LLM context compression for agentic runtimes, certified non-inferior acro...

Loop Engineering

MCP server for self-verifying AI agent loops: schedules, independent checker gates, stop rules, worktree isolation & durable state. Built fo...

Event Horizon

Event Horizon is a VS Code extension that visualizes AI coding agents as a living cosmic system. Instead of viewing logs, terminals, or raw...

Openpawz

OpenPawz is a native, offline-first desktop AI platform (Tauri v2 + Rust) that lets you run local models or connect to any compatible provid...

Lodestar

Lodestar — a 2026 agentic, RAG-grounded HBCU career-advice assistant (model-agnostic, hybrid RAG, MCP server). Evolved from IgniteAI, the fi...

Pandaclip

One local-first MCP server for agent working state — clipboard history & snippets, TTL cache, file-organizer overlay, and a knowledge graph...