标签 · CLI — Glean

Recent picks

17picks · chronological

09-01

A Git-compatible VCS with a commit-centric workflow

Jujutsu (jj) is an open-source version control system written in Rust. It aims to make the everyday VCS workflow simpler while staying compatible with the Git ecosystem. The key design is a working copy that is automatically committed: every file change becomes a snapshot you can revisit or revert. An operation log records every state mutation, providing robust undo/redo. Conflicts are first-class data objects instead of inline text markers, making merges and rebases more predictable. jj can be used in existing Git repositories or as a standalone VCS, so it supports incremental adoption. This project is relevant for engineers exploring modern VCS design, Git workflows, and high-quality Rust-based tooling.

github.com · 2 min · CLI · Developer Tools · Rust

08-27

An agent skill that turns codebases into verifiable, interactive system maps

Archify is an agent skill that turns a system description or an entire repository into an interactive technical map. It supports five diagram types—architecture, workflow, sequence, data-flow, and lifecycle—and produces a single self-contained HTML file with built-in navigation, dark/light themes, finite motion, and exports to PNG, SVG, WebM, and 1200×630 share cards. Under the hood it uses a typed JSON IR as the source of truth, runs validation before delivery, and returns machine-readable repair receipts on failure. It also supports Before/Delta/After snapshots for architecture review. Designed for Raven, Cursor, Claude Code, Codex CLI, and OpenCode, it suits engineers and doc writers who want verifiable, shareable visualizations without hand-drawing.

github.com · 15 min · Agent Skills · AI Engineering · CLI

08-23

Long-term memory for coding agents with cross-vendor handoffs

ai-memory is a Rust-based long-term memory service for coding agents, addressing context loss when switching between tools like Claude Code, Codex, or Command Code. It uses MCP configuration and lifecycle hooks to automatically capture prompts, tool calls, and session boundaries, then compiles a concise summary and handoff at session end. The wiki is stored as plain Markdown in a git repo—grep-able, Obsidian-friendly, and backup-friendly—with no vector database to maintain. Retrieval blends FTS5, entity-match RRF, and graph-neighbor ranking, with optional embeddings and an optional LLM for consolidation. Best for engineers juggling multiple AI coding agents who want project memory to persist across sessions and vendors.

github.com · 62 min · Agent Engineering · Ai-Memory · CLI

08-03

Improving token efficiency in GitHub Agentic Workflows

GitHub's team instrumented its own fleet of Agentic Workflows through an API proxy, emitting a normalized token-usage.jsonl per run and building two daily agentic workflows—a usage Auditor and an Optimizer—that read those logs, flag anomalies, and file concrete optimization issues. The biggest wins came from pruning unused MCP tool registrations (each request can carry 10–15KB of schema overhead), replacing GitHub MCP calls with deterministic GitHub CLI invocations, and moving fixed data-gathering into pre-agentic setup steps. To compare across models they define Effective Tokens: ET = m×(1.0×I + 0.1×C + 4.0×O) with model multipliers. Of 12 production workflows, nine received optimizer changes; measured reductions were 62% for Auto-Triage Issues (109 runs), 43% for Security Guard, and 59% for Smoke Claude. One workflow regressed 5% due to workload shift, and one misconfigured bash allowlist caused a 64-turn fallback loop. The post argues for episode- and portfolio-level efficiency analysis.

github.blog · 18 min · Agent Engineering · CLI · Cost Optimization

08-01

Hermes Agent Guide: Install, Import OpenClaw, Run with Kimi

This hands-on guide walks through installing Nous Research's Hermes Agent via a one-line curl script, migrating an existing OpenClaw workspace, and configuring Kimi/Moonshot as the default model provider (kimi-k2.6, key stored in ~/.hermes/.env). It covers persistent memory, Skills, browser automation, scheduled tasks, and a CLI example to list top disk-usage folders. As an editorial pick, the piece reads like a Kimi funnel rather than deep engineering: every feature is described at overview level, there are no benchmarks, failure cases, or architectural trade-offs. Useful only as a quick first-run reference for beginners; experienced agent developers will find little evidence to judge the system.

www.kimi.com · 15 min · Agent Engineering · Agents · Ai Tooling

08-01

Run Claude, GPT & Grok in One Window: Higgsfield Supercomputer Prompt Guide

A Higgsfield-sponsored walkthrough of its Supercomputer product, which aggregates Claude, GPT, Gemini and Grok into one chat and claims to route each task to the best model. It lists three integration paths: web UI, a Claude connector via MCP at https://mcp.higgsfield.ai/mcp, and a CLI (@higgsfield/cli), plus 18 copy-paste prompts for building web apps, CRMs, UGC videos, scheduled tasks and multi-agent 'graph engineering' workflows. The free tier supposedly covers planning, research and drafts, charging only for final rendered output. No routing details, benchmarks or failure cases are provided, and the piece acknowledges sponsorship at the end. Useful as a prompt/feature tour for curious power users, not as technical documentation.

x.com · 20 min · Agents · Ai Tooling · CLI

07-31

Vibe Coding Explained: Concepts, Examples, and Kimi's Tools

Kimi's official guide to vibe coding covers the concept, comparisons with traditional development, and five self-reported examples (resume scoring, portfolio site, admin dashboard, crypto profit simulator, plywood cutting planner), then shifts into a product tutorial for Kimi Websites and the terminal-first Kimi Code CLI. It includes concrete install commands, a sample prompt, and a three-step workflow, along with pros/cons and security caveats. Suitable for beginners who want to try Kimi's toolchain; experienced engineers may pick up basic Kimi Code usage, but the article lacks verifiable data or third-party comparisons and reads as product promotion.

www.kimi.com · 15 min · AI Engineering · Ai Tooling · CLI

07-30

OpenAI's AI-Powered Code Security Scanner CLI and SDK

Codex Security is a CLI and TypeScript SDK from OpenAI that uses large language models to find, validate, and fix security vulnerabilities. It supports configurable models (e.g., gpt-5.6-terra), adjustable effort levels, and can be integrated into CI/CD pipelines. Authentication can be via ChatGPT sign-in or API key. It helps developers automatically detect and remediate security issues before deployment.

github.com · 2 min · AI · CLI · Security

07-29

Pi: All-in-One AI Agent Toolkit with Unified LLM API and Coding Agent CLI

Pi is an open-source AI agent toolkit offering a unified multi-provider LLM API (OpenAI, Anthropic, Google, etc.), an extensible agent runtime with tool calling and state management, an interactive coding agent CLI, and a terminal UI library. It addresses component fragmentation in building AI agents via modular npm packages, with containerization support and supply-chain security hardening. Ideal for engineers building, deploying, or customizing AI agents, especially coding agents.

github.com · 6 min · Agent Architecture · Agents · Ai Tooling

07-22

Kimi Code CLI: Terminal AI Coding Agent for Next-Gen Agents

Kimi Code CLI is an AI coding agent that runs in your terminal. It reads and edits code, runs shell commands, searches files, fetches web pages, and autonomously decides next steps based on feedback. It ships as a single binary with millisecond startup, features a purpose-built TUI, supports video input, AI-native MCP configuration, a rich plugin ecosystem, subagents for parallel tasks, lifecycle hooks, and ACP integration with editors like Zed and JetBrains. Ideal for developers seeking a powerful, extensible AI coding companion.

github.com · 4 min · AI Agents · CLI · Developer Tools

07-16

Cut Claude Code token costs by rendering system prompts & history as images

pxpipe is a local proxy that intercepts Claude Code API requests, rendering bulky text parts like system prompts, tool docs, and old history into compact PNG images. Since image token pricing depends on pixel dimensions rather than text length, the approach cuts input tokens by ~60%, leading to a 59–70% end-to-end cost reduction. It rewrites requests before they leave the machine, preserving prompt caching. By default it works with Claude Fable 5 and GPT-5.6, with dashboard controls for opt-in models. It includes profitability gates and benchmarks showing near parity in coding tasks, though exact-string recall is lossy. The project is aimed at developers using LLM coding agents who want to slash API costs without sacrificing functionality.

github.com · 12 min · Ai Tooling · Anthropic · CLI

07-13

Lightweight terminal-based coding agent with local execution and cloud integration

Codex CLI is a lightweight coding agent from OpenAI that runs locally in your terminal, powered by your ChatGPT subscription or API key. Unlike IDE plugins or desktop apps, it offers a pure CLI experience tailored for terminal-centric developers. It supports macOS, Linux, and Windows and can be installed via shell script, npm, or Homebrew. Built with Rust and Bazel, it emphasizes performance and portability. Open-sourced under Apache-2.0, it's ideal for developers exploring command-line AI coding assistants.

github.com · 5 min · AI Engineering · CLI · Coding Agent

06-30

Browser Automation CLI for AI Agents

agent-browser is a native Rust CLI designed for AI agents to automate browser interactions. It uses a client-daemon architecture where the Rust daemon directly communicates with Chrome via CDP, eliminating the Node.js dependency. The tool offers a comprehensive command set covering navigation, element interaction (via ref/CSS/XPath/text selectors), snapshots, screenshots, network interception, session management, and authentication state persistence. It includes built-in safety features like domain allowlists, action policies, and encrypted state storage. It is optimized for AI workflows with accessibility tree snapshots, annotated screenshots, and MCP server support, making it ideal for engineers building AI agents, automated testing, web scraping, or enabling LLMs to control browsers reliably.

github.com · 64 min · AI Agents · Browser Automation · CDP

06-29

Temporary Cloudflare Accounts for AI Agents

Cloudflare introduces temporary accounts for AI agents, enabling deployment via `wrangler deploy --temporary` without manual signup. The accounts last 60 minutes, during which agents can iteratively deploy and developers can permanently claim them. The post addresses the problem of background AI sessions getting stuck at browser-based OAuth flows and explains how the CLI prompts agents about the flag for discovery. A complete TypeScript demo walks through deploying a hello world Worker, modifying it, and redeploying with verification. Partnerships with Stripe and WorkOS are noted as part of broader efforts to reduce agentic deployment friction. Target readers include agent platform builders and developers using coding agents.

x.com · 1 min · Agent Infrastructure · Agents · CLI

06-21

A local HTML editor built for human-AI collaboration

Lavish-axi is a local CLI tool that opens AI-generated HTML artifacts in a local browser, allowing developers to annotate elements, select text, take screenshots, and send structured feedback directly back to the AI agent. It runs a local server with a browser chrome, supporting live reload, layout auditing (overflow, clipped text, overlapping text), feedback queuing, and long polling. Built as an AXI, it requires no setup beyond `npx` and can be integrated as a skill into agents like Claude Code. It's ideal for engineers who need to iterate on AI-generated visualizations, plans, or UI mockups with precise feedback.

github.com · 18 min · Agents · Ai Tooling · CLI

06-14

Hermes Agent: A Self-Improving, Multi-Platform AI Agent Runtime

Hermes Agent is a self-improving AI agent framework with a closed learning loop. It creates skills from experience, manages persistent memory across sessions, and operates over Telegram, Discord, Slack, and CLI via a single gateway. Any LLM backend can be used without code changes, and it runs on a $5 VPS or serverless infrastructure with near-zero idle cost. Built‑in cron scheduling, subagent delegation, and batch trajectory generation make it suitable for engineers and researchers who need an autonomous agent that evolves with use.

github.com · 11 min · Agent-Memory · Agents · CLI

06-02

A Multi-Agent IDE to Run Claude Code, Codex, and Others in Parallel Git Worktrees

Orca is a desktop and mobile IDE designed to run multiple AI coding agents—such as Claude Code, Codex, and Grok—concurrently. It leverages Git's worktree mechanism to give each agent an isolated working directory, eliminating the need for stashing or branch juggling. Users can observe and control all agents from a single interface with tabbed panes, built-in diff review, and direct GitHub Issue/PR integration. It's built for developers who rely on CLI-based coding agents and need to handle multiple features or refactors in parallel.

github.com · 9 min · Agents · Ai Tooling · CLI