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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 · SourceCategory
18 sourced tools with this topic.
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 · SourceMeasure what your brain is losing while AI does your work - unaided-skill baselines, decay curves, reliance drills
131 GitHub stars · SourceMulti-model AI coding assistant CLI supporting local LLMs, GPT-4, Claude, Gemini, and more
5 GitHub stars · SourceOpen-source AI coding assistant CLI powered by DeepSeek-V3 — a low-cost alternative to proprietary coding agents
19 GitHub stars · SourceA 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 · SourceA 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 · SourceA 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 · SourceAgentic Coding platform for Professional SWE work focusing on output quality. Self-review, supervision, dynamic workflows, dynamic agent loops.
82 GitHub stars · SourceOpen-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🙌 OpenHands: AI-Driven Development
91861 GitHub stars · SourceThe local catalog of your projects — intelligent, always learning, for you and your agents
27 GitHub stars · SourceProfessional multi-AI development environment with intelligent cost optimization (<5/month)
5 GitHub stars · SourceTool 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 · SourceRready-to-use, high-quality prompts with a single command 🚀
13 GitHub stars · SourceMap a repository as a Markdown tree with LLM-written notes on each file.
64 GitHub stars · SourceOpen-source control plane for multi-model coding: role-based routing, durable task state, and inspectable run receipts.
5 GitHub stars · SourceA 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 · SourceLocal semantic search, symbol graphs, secrets scanning, output filters, and CLI hooks that save 60-90% LLM tokens.
16 GitHub stars · Source