AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
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Updated
May 28, 2026 - Python
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
Agent harness for long-running AI coding tasks — orchestrates Claude Code & GitHub Copilot across repositories 🍩
A framework for executing long-running AI agent tasks with structured feature lists and progress tracking.
Java-native runtime for long-running AI agents with live execution control, human approvals, and audit trails.
Long-running AI agents that adapt until outcomes converge.
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.
Production 3-agent harness for autonomous multi-hour software builds. Planner + Generator + Evaluator with parallel fleet execution, circuit-breaker stagnation detection, and graceful resume.
Continuity for AI agent work that outgrows one chat.
Autonomous AI coding agents for long-term task execution.
Evidence-bound workflow diagnostics and certified lower-bound reporting for long-running AI agent pipelines. Improve agent workflow throughput without changing the model.
Production-ready workspace setup for long-running OpenClaw AI agents. Artifact workflow, secrets management, memory optimization, and battle-tested patterns.
Codex skill for designing and scaffolding durable agent harness projects, with a Ralph Loop preset and upgrade-friendly doctrine.
Claude Code plugin for long-running agent workflows with progress tracking, feature checklists, and git checkpoints
Personal website of Iris Shen, focused on memory, evaluation, orchestration, and runtime systems for long-running AI agents.
Architecture notes on CLI-native autonomous coding agents, tool runtimes, orchestration, UI surfaces, and protocols.
Agent Orchestrator 2026: AI-Powered Multi-Repo Task Runner & Automation Hub
Theory-to-experiment lab for search stability in long-running agents under finite context, with exact simulator tests and lightweight mechanistic probe tasks.
🤖 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.
Pi extension that gives coding agents persistent /goal workflows with branch-aware state, source imports, progress tools, and explicit start handoffs.
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