A framework for executing long-running AI agent tasks with structured feature lists and progress tracking.
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Updated
Feb 18, 2026 - PowerShell
A framework for executing long-running AI agent tasks with structured feature lists and progress tracking.
Agent harness for long-running AI coding tasks — orchestrates Claude Code & GitHub Copilot across repositories 🍩
watches the watchers: a monitoring system for long-running Claude Code agents
Codex-derived source release for an opt-in session compact route that preserves durable handoff state across repeated compactions.
Theory-to-experiment lab for search stability in long-running agents under finite context, with exact simulator tests and lightweight mechanistic probe tasks.
Codex skill for designing and scaffolding durable agent harness projects, with a Ralph Loop preset and upgrade-friendly doctrine.
Production-ready workspace setup for long-running OpenClaw AI agents. Artifact workflow, secrets management, memory optimization, and battle-tested patterns.
🤖 Agent Skills compliant skill for autonomous AI agents that parse PRDs into tasks and execute them. Works with Cursor, OpenCode, Claude & any AI framework. Features state persistence, dependency management, error recovery.
Claude Code plugin for long-running agent workflows with progress tracking, feature checklists, and git checkpoints
Continuity for AI agent work that outgrows one chat.
Personal website of Iris Shen, focused on memory, evaluation, orchestration, and runtime systems for long-running AI agents.
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