long-running-agents

Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents.

Temporary rooms for Humans and AI Agents — run, supervise and steer Agent Tasks without a permanent workspace.

Cayu is an open-source Python framework for building and running domain-specific long-horizon agents, with a durable runtime built in.

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation

Give AI agents ambitious work without losing the plot. nac is an open-source harness for long-running tasks, using a central orchestrator, threads, and structured episodes to stay aligned with your intent.

Make your AI agents work as a team. You keep working in 1 session while it orchestrates models via your other subscriptions, local models and more. Run a Software Factory: long plans, proven steps, safe merges. Carries your setup, tracks every cost.

Archived historical Apache-2.0 release of Sandbox0. Current Sandbox0 runtime development is closed source. Product and support: https://sandbox0.ai

Run your own AI team from your phone. Claude Code, Codex and more on your own server: shared tasks, always-on agents, a small composable bash core. MIT. An open-source alternative to Grok Bot and OpenAI Dots.

Accountable long-running coding shifts for Cursor, Codex, and Claude Code. Safe autonomy, recovery, persistent state, and reviewable results a clear view of what’s done, in progress, parked, or blocked—without scrolling a marathon chat.

Better agentic security inside a sandbox; one wrapper, any agent.

Claude Code harness and alternative to context compaction: at 80% context it writes a verified capsule, runs /clear and resumes with persistent memory in git. Long-running and multi-agent Claude Code sessions, auto clear instead of auto-compact. MIT, local, Node 18+. Codex adapter.

Self-improving agent harness for ChatGPT and Codex on Mac. #1 on AssistantBench. On-disk memory, privacy zones, verified completion.

A ralph harness for long-running AI coding tasks — a generator-evaluator loop that drives Claude Code, GitHub Copilot, OpenAI Codex, OpenCode or Grok across one or more repositories 🍩

Task control for AI coding agents: explicit scope, bounded verification, durable state, safe recovery. Codex · Claude Code · DeepSeek · ZCode.

Domain-identity framework for long-running AI agents: one domain, one long-lived identity, one accountable owner, one audit trail. 域身份体系 —— 域桥插件 dsh-domain-bridge v0.6.4（npm 可装 / 11 个工具 / 282 用例契约测试）+ 协作框架文档 + 角色模板。

Java-native runtime for long-running AI agents with live execution control, human approvals, and audit trails.

Ask Jev whether a sleeping agent's wakeup is worth a full LLM turn before you resume it. A fail-open wake gate for long-running agents on Workers, Durable Objects and Node.

Local-first operating layer that decomposes long AI work into executable tasks, routes them across models and tools, and keeps human decisions in the loop.

Loop engineering for AI agents.

Rate limit? Switching coding agents? Stele keeps write-ahead task state so work resumes in any harness with nothing to re-explain.