Instructions for SWE-agent/mini-swe-agent, a project described as: The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
AGENTS.md instructions for open-multi-agent/open-multi-agent, covering agents.md, repository map, commands, working rules and validation by change type.
Claude Code instructions for open-multi-agent/open-multi-agent, a project described as: TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepSeek, or local models).
Instructions for MrLesk/Backlog.md, a project described as: Backlog.md - A tool for managing project collaboration between humans and AI Agents in a git ecosystem.
Instructions for Q00/ouroboros, covering ouroboros - development environment, ooo commands (dev mode), agents, pull request boundary policy and shipping a change (read before you commit).
Instructions for Q00/ouroboros, covering ouroboros - development environment, ooo commands (dev mode), agents, pull request boundary policy and shipping a change (read before you commit).
Instructions for truefoundry/trueforge, a project described as: The open-source agent harness - the runtime layer that turns an LLM into a working agent.
Instructions for truefoundry/trueforge, a project described as: The open-source agent harness - the runtime layer that turns an LLM into a working agent.
AGENTS.md instructions for Agenta-AI/agenta, covering contributor guide, repo map, where conventions live, branching and prs with gitbutler and hard-won gotchas (don't relearn these).
Instructions for JetBrains/koog, covering koog ai agent framework, project structure, build & commands, development commands and full build including tests.
Instructions for JetBrains/koog, a project described as: Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise…
Instructions for JetBrains/koog, a project described as: Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise…
Instructions for embabel/embabel-agent, covering claude.md, important, coding style, working approach and advice for documentation in embabel-agent-docs.
AGENTS.md instructions for callstack/agent-device, covering agents.md, incident-derived principles, declaration sites and enforcement, hard repository rules and module and test topology.