Shim

Kimi Code CLI is an AI coding agent developed by Moonshot AI that runs in a terminal. It reads and edits code, runs shell commands, searches files, fetches web pages, and selects subsequent actions based on the feedback from those operations. It works with Moonshot AI's Kimi models and can be configured with other compatible model providers. The tool is distributed as a single binary and provides an interactive terminal UI. It accepts video input, supports conversational configuration of Model Context Protocol (MCP) servers, and can install skills, MCP servers, and data sources from its marketplace or GitHub repositories. Built-in coder, explore, and plan subagents can work in isolated contexts, while lifecycle hooks can run local commands at selected points in a session. Kimi Code CLI also supports the Agent Client Protocol (ACP), allowing compatible editors and IDEs such as Zed and JetBrains to drive sessions through the `kimi acp` command. The repository documents installation for macOS, Linux, and Windows and provides OAuth or Moonshot AI Open Platform API-key login options.

AI Manager is a local-first desktop application for installing, updating, configuring, and repairing AI coding command-line tools on a user's computer. It provides a single interface for checking installed tools, managing versions, connecting tools to reviewed or custom HTTPS AI-service endpoints, and viewing the effective endpoint and environment-variable overrides without editing shell profiles or PATH files. Its sidebar includes software management, API endpoints, skills, MCP connections, global prompts, sessions, and settings. It installs skills from trusted GitHub catalogues or local ZIP files, supports stdio, HTTP, and SSE MCP servers, and searches local coding-tool sessions that can be resumed in a terminal. Tool behavior is controlled by a capability registry, and the application uses local signals for checks rather than claiming a process is healthy without evidence. The application is built with Tauri 2 and React 18 and is released under the GNU AGPL-3.0-or-later. It has no analytics or telemetry SDK, stores product data locally, and offers signed update verification and platform-specific installers. Provider credentials are currently stored in plaintext in the local database, backups, and SQL configuration exports. AI Manager began as a fork of CC Switch, with inherited portions retaining their original MIT licensing.

mcpc is Apify's open-source universal command-line client for the Model Context Protocol (MCP). It maps MCP operations for tools, prompts, resources, asynchronous tasks, skills, notifications, and logging to shell commands, communicating with local stdio servers and remote Streamable HTTP servers. Persistent named sessions keep connections, caches, notifications, and authentication state available across commands. The CLI supports progressive tool discovery through grep and compact tool listings, interactive shells, JSON output for jq, xargs, and shell pipelines, schema validation for scripts and CI, OAuth 2.1 with PKCE and bearer authentication, and a local proxy mode that keeps upstream credentials and OAuth tokens outside AI sandboxes. Its single configuration and credential store can be reused by shell-based AI coding agents, with credentials stored in the operating system keychain. It is distributed as the `@apify/mcpc` npm package.

Shannon is an open-source autonomous AI penetration-testing tool developed by Keygraph for web applications and APIs. It analyzes source code to map architecture, trust boundaries, data flows, interfaces, dependencies, and potential attack paths, then combines those candidates with live reconnaissance and specialized testing for injection, XSS, SSRF, authentication, and authorization. Exploitation agents use browser automation and command-line tools against a running application to produce reproducible proof-of-concept attacks; candidates that cannot be demonstrated are discarded, so only exploited vulnerabilities become findings. Shannon runs locally from the command line or in CI/CD, including GitHub Actions and GitLab CI/CD, and can test deployed staging or development environments on pull-request, release, or scheduled workflows. It produces evidence-rich PDF and Markdown reports plus JSON and SARIF 2.1.0 output, supports authenticated testing and resumable workspaces, and can gate a pipeline on proven vulnerabilities at configured severity levels. The open-source edition runs in an ephemeral Docker worker, mounts the target repository read-only, stores results locally, and uses credentials supplied for a selected model provider or compatible local endpoint. Shannon is licensed under AGPL-3.0. It actively executes exploits and may mutate application state, so the project requires authorization and recommends sandboxed, staging, or local environments rather than production systems.

Open Interpreter is a command-line coding agent optimized for open and low-cost models. It is a fork of OpenAI's Codex focused on emulating provider-specific agent harnesses; its Rust-native harnesses can be switched with `/harness`, while providers and models can be changed from its terminal interface. It supports native sandboxing on macOS, Linux, and Windows, MCP, skills, hooks, permissions, AGENTS.md instructions, and local configuration and session state under `~/.openinterpreter`. The agent can run as an Agent Client Protocol agent for compatible editors, speak the Codex exec protocol, and provide a one-line binary override for applications using the Codex SDK. Its built-in QA skill can test web applications through a real browser and native applications through trycua. The project is distributed for macOS, Linux, and Windows through shell or PowerShell installation commands and uses shared agent directories and protocols where available.