Complete reference for the AgentFS command-line interface
Cursor Docs — Agent, Rules, MCP, Skills & CLI
Official Cursor documentation. Covers Agent mode, Rules, Skills, MCP servers, CLI, models, and Teams & Enterprise setup. Start building in minutes.
pi/packages/agent/docs/harness-v2.md at harness-v2/j4 · earendil-works/pi
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI - earendil-works/pi
Introducing Cursor 2.0 and Composer · Cursor
A new interface and our first coding model, both purpose-built for working with agents.
docs/docs/index.md at main · ards-project/docs
Agentic Resource Discovery (ARD) specification — documentation site - ards-project/docs
WeSight - Run CLI Agents from One Desktop App
WeSight is an open-source desktop AI Agent workspace for CLI agents, local runtimes, model providers, permission events, skills, scheduled tasks, memory, and an Obsidian plugin.
Rhys on Twitter / X
I'm concerned we're entering a local maxima with CLIs, they're the wrong interface for agentsThe right interface is regular REST APIs with CIMD (same spec that MCP uses to allow for dynamic client registration)Your agent then writes code to interact with the API (like… https://t.co/3eorkM4e0E pic.twitter.com/H93VfQ2yEM— Rhys (@RhysSullivan) February 24, 2026
agentnameservice/ans
Open-source reference implementation of the Agent Name Service (ANS) based on the IETF draft — registry, transparency log, and offline verifier in Go.
Cursor Agent CLI · Cursor
You can now use Cursor Agent from the CLI or headless in any environment.
AGENTS.md
AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
shepherd-agents/shepherd
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
Joshua Gu on Twitter / X
Recent agentic systems (Claude Code, Codex, RLM, etc.) push context out of the prompt and into the environment (e.g., as files). This helps them maintain long-term knowledge about their goals and functionality.🚨 While this is a good idea, we show a surprising result: systems… pic.twitter.com/XHFVaDcr4l— Joshua Gu (@astrogu_) May 20, 2026
oh-my-cli/AUTONOMY.md at 0ec9cf2a972b55ba1c4448c612e794cdcf114451 · qwen-code-dev-bot/oh-my-cli
A minimal autonomous code-agent CLI built with Qwen Code - qwen-code-dev-bot/oh-my-cli
GitHub - qwen-code-dev-bot/oh-my-cli at 0ec9cf2a972b55ba1c4448c612e794cdcf114451
A minimal autonomous code-agent CLI built with Qwen Code - qwen-code-dev-bot/oh-my-cli
Terminal Apps need a DOM | C1
agent-tui runs terminal programs on a PTY and exposes the rendered screen as text or an outline with stable refs. Agents can drive live TUIs, including other AI agents, by snapshotting, pressing keys, and waiting for screen state.
