Search results for "clis"
A Python implement of Agent Client Protocol (ACP, by Zed Industries)
A library for automatically generating command line interfaces.
Typer, build great CLIs. Easy to code. Based on Python type hints.
Token usage tracker for AI agent CLIs (Claude Code, Codex, Cursor, Kiro, Gemini, OpenCode, OpenClaw, Hermes, GitHub Copilot)
Connect LLMs and AI agents to Auth0 Management APIs via an MCP server. Use natural-language commands to create apps, deploy Actions, and query logs—runs locally and supports interactive tenant authent
Securely scale AI usage across your organization. Control plane for building, securing and monitoring your agents, mcp and skills.
Pi coding agent extension that allows Pi to autonomously control interactive CLIs in an observable overlay. Full PTY emulation, no tmux, token efficient. User can take over anytime.
Secure, Fast, and Extensible Sandbox runtime for AI agents.
Build and run autonomous AI agents with OpenClaw, Hermes, multiple model providers, orchestration, delegation, memory, skills, schedules, and chat connectors.
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!
Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 12 platforms
NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Claude Desktop & any MC
One .agents source of truth to sync MCP servers, skills, and instructions across Codex, Claude Code, Gemini CLI, Cursor, Copilot, and Antigravity.
Ultra-Lightweight, Pure Python Multimodal Agent.
Published in CNCF Landscape: A MCP server for Kubernetes.
Structured, auditable AI-assisted development for teams. Zero-dependency MCP server, web dashboard, and multi-provider AI CLI support.
Prompt Driven Development Command Line Interface
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
MCP server for OpenAI's Deep Research APIs, Gemini Deep Research Agent, and Hugging Face's Open Deep Research
Provider-agnostic AI orchestration for VS Code. Intelligent workspace analysis, Code Execution MCP server, and project-adaptive multi-agent workflows — all natively integrated into VS Code.
A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity — handles typos, transpositions, and blind continuation. Zero-al
Production-ready AI agent framework — semantic memory, multi-agent mesh, MCP server, intelligent routing, governance, and 67+ platform integrations.
A deterministic development harness for Claude Code — MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
🍀 Self-hosted multi-agent AI orchestrator — chat with Claude, Gemini & Copilot CLI from Telegram, WebEx, or browser. 5 runtimes, 17+ models, task scheduling, skill plugins.
Let your agent write code and execute code directly in the browser with WASM
🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt
Terminal UI for managing multiple AI agent CLIs
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research