autonomous plugins

by Intent Solutions IO

Run Claude autonomously for 6-8 hours overnight using Git hooks that enforce TDD - wake up to fully tested features

by Damien Laine

Autonomous multi-agent development framework with spec-driven sprints and convergent iteration

by Damien Laine

Autonomous multi-agent development framework with spec-driven sprints and convergent iteration

by Intent Solutions IO

Run Claude autonomously for 6-8 hours overnight using Git hooks that enforce TDD - wake up to fully tested features

by Intent Solutions IO

Run Claude autonomously for 6-8 hours overnight using Git hooks that enforce TDD - wake up to fully tested features

by Damien Laine

Autonomous multi-agent development framework with spec-driven sprints and convergent iteration

by Steven Leggett

🍰 Sugar - The autonomous layer for AI coding agents

by panayiotis

Long-running agent harness with 5-layer memory architecture, GitHub integration via gh CLI, autonomous batch processing with a dedicated implementer subagent, Agent Teams with ATDD, quality-gate hooks, and 6 Agent Skills

by gtapps

A personal assistant that lives in your project — memory-driven learning, daily rhythm, idle agency, and operational hygiene for Claude Code

by ourines

Manage large coding tasks using git worktrees and background Claude Code sessions. Supports launching, monitoring, resuming, and cleanup of autonomous tasks with alert notifications.

by Digital Process Tools

Batched file operations for autonomous Claude Code runs. Collapses N reads/greps/globs into one Bash round-trip. Includes session-start prompt injection and a PreToolUse guard that refuses raw shell commands an op replaces, plus a small shipped rule layer for what `replaces` cannot express (hooks/guard-selftest.py lists it). Blocking the harness's own file tools is the operator's setting, not the plugin's (README, Hard-block native tools).

by App Vitals

The autonomous delivery agent for Claude Code — conversational planning, queue-driven execution, policy-controlled code review, a five-phase test-readiness pipeline, and autonomous deploy (merge → canary → promote) for any software project.

by Youssef Hemimy

Durable goal-following for Claude Code: contracts with definition-of-done, subagent judge gates, executor-subagent chain execution, and adaptive missions — with all state mechanics executed by a tested CLI and invariants enforced by hooks. Inspired by OpenAI Codex /goal and the Ralph loop pattern.

by Synapti AI

Skill-driven workflow plugin for GitHub development with excellence-by-default quality gates. Encodes team knowledge as composable skills, enforces safety through hooks, and compounds learning across sessions. Strict TDD, Stranger Test, holdout validation, and evidence-based verification built in. Durable goals, workflows, triggers, and runs at .flow/. Requires bash, git, gh, jq, and python3 with PyYAML; on Windows, Git Bash (see docs/windows-support.md).

by Dan Lee

Self-evolving development pipeline — 3 lean agents across 6 phases with compound discovery loop, proactive research, and strict evaluation. No external dependencies.

by vikash ruhil

Loomwright is a plan-first, multi-agent development system for Claude Code. Launch Pad turns a goal into a reviewed brief; Supervisor executes it autonomously across parallel git worktrees with self-heal; dedicated agents cover code review, red-teaming, QA, and standalone PR review-and-heal. 14 agent roles, 24 slash commands, 42 skills, 39 quality gate hooks. Full history in CHANGELOG.md.

by Stellars Henson

Autonomous build iteration orchestrator. Runs structured improvement cycles with multi-agent review, FSM-driven phase lifecycle, per-phase gates, and YAML-configured workflows.

by Kyle (obra)

Autonomous experiment loop — iteratively optimize any metric with git-tracked experiments

by Gregory Block

Autonomous learning for Special Circumstances: a daily self-improvement loop, a graduation pipeline, and a continuous-learning promotion ladder — always human-gated at promotion. Requires frank-exchange-of-views.

by Jason Noah Choi

Set a target and walk away. Say f[no] to mostly done.

by weedmo

Autonomous code improvement loop - autocode: hypothesis-driven parallel experiments with model routing (strategist on the expensive tier, experimenters routed by hypothesis difficulty), a live experiment board via weed-harness loop-report, unlazy-backed termination gates, and kept changes collected as one squash commit each on a worktree branch that ends in a PR.

by weedmo

Autonomous code improvement loop, Claude Code edition - autocode: hypothesis-driven parallel experiments with in-session experimenters routed by the plugin agents, a live experiment board published as an Artifact, unlazy-backed termination gates, and kept changes collected as one squash commit each on a worktree branch that ends in a PR.

by weedmo

Autonomous improvement loops - autocode (code improvement loop with PGE team mode) and auto_research (ML research loop with optional 23-stage pipeline).

by Shlomo Isaacs

Autonomous feature implementation with CI loop integration - implement features from branch creation through PR submission with automated test monitoring