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cli AI tools

18 sourced tools with this topic.

airlock

Run multiple AI agents and untrusted code in isolation. One command spins up a disposable Podman container — your SSH keys, dotfiles, and env files stay safe.

108 GitHub stars · Source

atrophy

Measure what your brain is losing while AI does your work - unaided-skill baselines, decay curves, reliance drills

131 GitHub stars · Source

awaitter-lite

Multi-model AI coding assistant CLI supporting local LLMs, GPT-4, Claude, Gemini, and more

5 GitHub stars · Source

deepseek-code

Open-source AI coding assistant CLI powered by DeepSeek-V3 — a low-cost alternative to proprietary coding agents

19 GitHub stars · Source

gito

A Go-based CLI tool designed to streamline AI-assisted commits. Gito captures your staged changes to provide instant context for LLMs and GEMs, making it effortless to generate accurate and descriptive commit messages.

15 GitHub stars · Source

gptree

A CLI tool to provide LLM context for coding projects by combining project files into a single text file (or clipboard text) with directory tree structure.

289 GitHub stars · Source

grimoire

A lightweight tool that converts directory contents into structured output optimized for LLM interpretation, featuring Git-aware file ordering, secret detection/redaction, token counting, and customizable filtering.

21 GitHub stars · Source

kent

Agentic Coding platform for Professional SWE work focusing on output quality. Self-review, supervision, dynamic workflows, dynamic agent loops.

82 GitHub stars · Source

openamer

Open-source self-improving AI agent for Windows: 5 native in-process ASI tools, one heartbeat over 10 subsystems (replaces ~84 cron jobs), and an A2A Global Mesh where every instance talks to every other instance. Apache-2.0, runs local.

8 GitHub stars · Source

panoma

The local catalog of your projects — intelligent, always learning, for you and your agents

27 GitHub stars · Source

phantom-neural-cortex

Professional multi-AI development environment with intelligent cost optimization (<5/month)

5 GitHub stars · Source

Project2Prompt

Tool to export any project folder or repository into a single, neatly formatted file — ideal for quick AI-assisted code review, debugging and refactoring. Collects source files recursively, wraps them in fenced code blocks with relative paths, filters noise (e.g. node_modules, .git), shows basic stats and supports optional clipboard copying.

5 GitHub stars · Source

prompt-ng

Rready-to-use, high-quality prompts with a single command 🚀

13 GitHub stars · Source

repo-map

Map a repository as a Markdown tree with LLM-written notes on each file.

64 GitHub stars · Source

syntra

Open-source control plane for multi-model coding: role-based routing, durable task state, and inspectable run receipts.

5 GitHub stars · Source

TinyAGI

A Python-based framework for developing and orchestrating AI agents. TinyAGI is built with modularity in mind, featuring a dedicated CLI for managing agents, plugins, and chat sessions. Its architecture supports a variety of LLMs (e.g., Google Gemini, Ollama, OpenAI) and can be extended with custom tools and plugins for specialized tasks.

7 GitHub stars · Source

tokenix

Local semantic search, symbol graphs, secrets scanning, output filters, and CLI hooks that save 60-90% LLM tokens.

16 GitHub stars · Source

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