Autonomous AI agent team for one-man companies. Context engineering + harness engineering drive a pipeline that brainstorms, builds, reviews, and ships.
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Updated
Mar 11, 2026 - TypeScript
Autonomous AI agent team for one-man companies. Context engineering + harness engineering drive a pipeline that brainstorms, builds, reviews, and ships.
Your coding agent forgets everything between sessions. Lore fixes that.
skills.sh-compatible Harness Engineering playbook skill
Runtime-agnostic AI R&D control plane for observable, recoverable, and governable delivery.
Perstack: A harness for micro-agents. Define experts and execute them at scale.
TAS: Tracking, Automation, and Skills - An operational harness for Claude Code. Session tracking, token budgeting, slash-command skills, and maintenance cadence.
Harness Engineering CLI — scaffold, audit, evolve, and doctor agent-readiness for any repo
Documentation site for Lore — lorehq.github.io/lore-docs
Harness engineering starter: agent-first docs, architecture guardrails, runtime evidence checks, and one-command domain scaffolding.
哈利波特互动小游戏集合 Harry Potter: Interactive Mini Games Collection
文字麻将-跑男同款桌游小游戏。Word Mahjong – Running Man-style Mini Board Game
AI agent harness engineering tool — visualize CLAUDE.md, AGENTS.md, skills, and agent config structure
Context engineering for coding agents - CLAUDE.md templates, mechanical enforcement, and a field guide to 20+ best practices. Bootstrap with one command.
A systematic implementation of Harness Engineering, enabling agents to work in a stable, controllable, and verifiable environment. It shifts focus from "writing code" to "designing feedback loops".
Agent skill for generating professional PowerPoint decks. 7 composable skills and a purpose-built CLI.
Living engineering logbook protocol for Claude Code. Session tracking, decisions, issues, and handoff notes — so any engineer or agent can pick up cold.
An autonomous research loop for any frontend project that continuously applies changes, measures their impact, and decides whether to keep or discard them, repeating until manually stopped. The agent supports two optimization modes: performance and build.
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