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## Latest Additions
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-[Ruflo](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) - An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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-[Claude Scientific Skills](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) - "A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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-[parry](https://github.com/vaporif/parry) by [Dmytro Onypko](https://github.com/vaporif) - Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. [NOTE: Early development phase but worth a look.].
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-[Dippy](https://github.com/ldayton/Dippy) by [Lily Dayton](https://github.com/ldayton) - Auto-approve safe bash commands using AST-based parsing, while prompting for destructive operations. Solves permission fatigue without disabling safety. Supports Claude Code, Gemini CLI, and Cursor.
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-[sudocode](https://github.com/sudocode-ai/sudocode) by [ssh-randy](https://github.com/ssh-randy) - Lightweight agent orchestration dev tool that lives in your repo. Integrates with various specification frameworks. It's giving Jira.
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-[claude-tmux](https://github.com/nielsgroen/claude-tmux) by [Niels Groeneveld](https://github.com/nielsgroen) - Manage Claude Code within tmux. A tmux popup of all your Claude Code instances, enabling quick switching, status monitoring, session lifecycle management, with git worktree and pull request support.
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-[claude-esp](https://github.com/phiat/claude-esp) by [phiat](https://github.com/phiat) - Go-based TUI that streams Claude Code's hidden output (thinking, tool calls, subagents) to a separate terminal. Watch multiple sessions simultaneously, filter by content type, and track background tasks. Ideal for debugging or understanding what Claude is doing under the hood without interrupting your main session.
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## Contents
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-[Claude Task Master](https://github.com/eyaltoledano/claude-task-master) by [eyaltoledano](https://github.com/eyaltoledano) - A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI.
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-[Claude Task Runner](https://github.com/grahama1970/claude-task-runner) by [grahama1970](https://github.com/grahama1970) - A specialized tool to manage context isolation and focused task execution with Claude Code, solving the critical challenge of context length limitations and task focus when working with Claude on complex, multi-step projects.
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-[Happy Coder](https://github.com/slopus/happy) by [GrocerPublishAgent](https://peoplesgrocers.com/en/projects) - Spawn and control multiple Claude Codes in parallel from your phone or desktop. Happy Coder runs Claude Code on your hardware, sends push notifications when Claude needs more input or permission, and costs nothing.
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+
-[Ruflo](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) - An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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-[sudocode](https://github.com/sudocode-ai/sudocode) by [ssh-randy](https://github.com/ssh-randy) - Lightweight agent orchestration dev tool that lives in your repo. Integrates with various specification frameworks. It's giving Jira.
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-[The Agentic Startup](https://github.com/rsmdt/the-startup) by [Rudolf Schmidt](https://github.com/rsmdt) - Yet Another Claude Orchestrator - a collection of agents, commands, etc., for shipping production code - but I like this because it's comprehensive, well-written, and one of the few resources that actually uses Output Styles! +10 points!
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-[TSK - AI Agent Task Manager and Sandbox](https://github.com/dtormoen/tsk) by [dtormoen](https://github.com/dtormoen) - A Rust CLI tool that lets you delegate development tasks to AI agents running in sandboxed Docker environments. Multiple agents work in parallel, returning git branches for human review.
Copy file name to clipboardExpand all lines: README_ALTERNATIVES/README_AWESOME.md
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## Latest Additions
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+
-[Ruflo](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) - An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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-[Claude Scientific Skills](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) - "A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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-[parry](https://github.com/vaporif/parry) by [Dmytro Onypko](https://github.com/vaporif) - Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. [NOTE: Early development phase but worth a look.].
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-
-[Dippy](https://github.com/ldayton/Dippy) by [Lily Dayton](https://github.com/ldayton) - Auto-approve safe bash commands using AST-based parsing, while prompting for destructive operations. Solves permission fatigue without disabling safety. Supports Claude Code, Gemini CLI, and Cursor.
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-
-[sudocode](https://github.com/sudocode-ai/sudocode) by [ssh-randy](https://github.com/ssh-randy) - Lightweight agent orchestration dev tool that lives in your repo. Integrates with various specification frameworks. It's giving Jira.
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-
-[claude-tmux](https://github.com/nielsgroen/claude-tmux) by [Niels Groeneveld](https://github.com/nielsgroen) - Manage Claude Code within tmux. A tmux popup of all your Claude Code instances, enabling quick switching, status monitoring, session lifecycle management, with git worktree and pull request support.
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-
-[claude-esp](https://github.com/phiat/claude-esp) by [phiat](https://github.com/phiat) - Go-based TUI that streams Claude Code's hidden output (thinking, tool calls, subagents) to a separate terminal. Watch multiple sessions simultaneously, filter by content type, and track background tasks. Ideal for debugging or understanding what Claude is doing under the hood without interrupting your main session.
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## Contents
@@ -199,6 +196,7 @@
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-[Claude Task Master](https://github.com/eyaltoledano/claude-task-master) by [eyaltoledano](https://github.com/eyaltoledano) - A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI.
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-[Claude Task Runner](https://github.com/grahama1970/claude-task-runner) by [grahama1970](https://github.com/grahama1970) - A specialized tool to manage context isolation and focused task execution with Claude Code, solving the critical challenge of context length limitations and task focus when working with Claude on complex, multi-step projects.
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198
-[Happy Coder](https://github.com/slopus/happy) by [GrocerPublishAgent](https://peoplesgrocers.com/en/projects) - Spawn and control multiple Claude Codes in parallel from your phone or desktop. Happy Coder runs Claude Code on your hardware, sends push notifications when Claude needs more input or permission, and costs nothing.
199
+
-[Ruflo](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) - An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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-[sudocode](https://github.com/sudocode-ai/sudocode) by [ssh-randy](https://github.com/ssh-randy) - Lightweight agent orchestration dev tool that lives in your repo. Integrates with various specification frameworks. It's giving Jira.
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-[The Agentic Startup](https://github.com/rsmdt/the-startup) by [Rudolf Schmidt](https://github.com/rsmdt) - Yet Another Claude Orchestrator - a collection of agents, commands, etc., for shipping production code - but I like this because it's comprehensive, well-written, and one of the few resources that actually uses Output Styles! +10 points!
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-[TSK - AI Agent Task Manager and Sandbox](https://github.com/dtormoen/tsk) by [dtormoen](https://github.com/dtormoen) - A Rust CLI tool that lets you delegate development tasks to AI agents running in sandboxed Docker environments. Multiple agents work in parallel, returning git branches for human review.
Copy file name to clipboardExpand all lines: README_ALTERNATIVES/README_CLASSIC.md
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## Latest Additions ✨ [🔝](#awesome-claude-code)
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[`Claude Scientific Skills`](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) ⚖️ MIT
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"A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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[`parry`](https://github.com/vaporif/parry) by [Dmytro Onypko](https://github.com/vaporif) ⚖️ MIT
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Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. [NOTE: Early development phase but worth a look.]
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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[`Dippy`](https://github.com/ldayton/Dippy) by [Lily Dayton](https://github.com/ldayton) ⚖️ MIT
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Auto-approve safe bash commands using AST-based parsing, while prompting for destructive operations. Solves permission fatigue without disabling safety. Supports Claude Code, Gemini CLI, and Cursor.
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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[`sudocode`](https://github.com/sudocode-ai/sudocode) by [ssh-randy](https://github.com/ssh-randy) ⚖️ Apache-2.0
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Lightweight agent orchestration dev tool that lives in your repo. Integrates with various specification frameworks. It's giving Jira.
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[`Ruflo`](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) ⚖️ MIT
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+
An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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[`claude-tmux`](https://github.com/nielsgroen/claude-tmux) by [Niels Groeneveld](https://github.com/nielsgroen) ⚖️ NOASSERTION
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Manage Claude Code within tmux. A tmux popup of all your Claude Code instances, enabling quick switching, status monitoring, session lifecycle management, with git worktree and pull request support.
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[`Claude Scientific Skills`](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) ⚖️ MIT
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+
"A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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[`claude-esp`](https://github.com/phiat/claude-esp) by [phiat](https://github.com/phiat) ⚖️ MIT
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Go-based TUI that streams Claude Code's hidden output (thinking, tool calls, subagents) to a separate terminal. Watch multiple sessions simultaneously, filter by content type, and track background tasks. Ideal for debugging or understanding what Claude is doing under the hood without interrupting your main session.
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[`parry`](https://github.com/vaporif/parry) by [Dmytro Onypko](https://github.com/vaporif) ⚖️ MIT
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Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. [NOTE: Early development phase but worth a look.]
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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[`Ruflo`](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) ⚖️ MIT
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An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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<details>
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<summary>📊 GitHub Stats</summary>
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[`sudocode`](https://github.com/sudocode-ai/sudocode) by [ssh-randy](https://github.com/ssh-randy) ⚖️ Apache-2.0
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Lightweight agent orchestration dev tool that lives in your repo. Integrates with various specification frameworks. It's giving Jira.
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