{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/15"}],"enrichment":{"capability":"Bridges Deep Agents with the Agent Client Protocol (ACP) to run AI agents in ACP-compatible text editors like Zed, exposing agent capabilities over stdio.","skillfed_tags":["ai-agents","editor-integration","protocol-adapter"],"use_cases":["Embed a custom coding agent in Zed with filesystem and shell tools, using Anthropic's Claude models","Run a general-purpose Deep Agent with custom tools in any ACP-compatible editor without building your own protocol layer","Switch between different LLM providers or models (Claude, GPT-4) mid-session while preserving conversation history","Persist agent sessions across editor restarts using a durable LangGraph checkpointer for long-running workflows","Launch a prebuilt coding agent (dcode) as an ACP server with a single command instead of wiring custom agent code"],"what_it_does":"deepagents-acp is a connector that exposes Deep Agents (LangChain's AI agent framework) as ACP servers, allowing them to run inside text editors that support the Agent Client Protocol. It wraps a Deep Agent instance and handles the ACP protocol layer, letting you define custom agents with tools and system prompts, then connect them to editors like Zed over stdio. The package includes examples for building a basic agent, persisting sessions using LangGraph checkpointers, and switching between different LLM models mid-conversation without losing history.\n\nThe main use case is embedding AI coding assistants and general-purpose agents directly into your editor workflow. You define an agent with whatever tools you need (filesystem access, shell commands, or custom functions), wrap it with AgentServerACP, and point your editor's ACP configuration at it. The package handles session management, conversation replay on reconnect, and model switching through ACP's session config options. It depends on agent-client-protocol for the wire protocol, deepagents for the agent runtime, and python-dotenv for environment variable loading (typically for API keys).","worth_installing":"Yes, if you want to run Deep Agents in an ACP-compatible editor like Zed. The package is actively maintained, has low install friction, uses a permissive MIT license, and requires only standard dependencies. It's still in alpha (Development Status 3), so expect potential API changes, but it's suitable for experimentation and early adoption. Install it if you're already using Deep Agents and want editor integration; skip it if you don't need ACP connectivity or prefer a different agent framework."},"id":"deepagents-acp","links":{"html":"https://skillfed.io/packages/deepagents-acp","md":"https://skillfed.io/packages/deepagents-acp.md","pypi":"https://pypi.org/project/deepagents-acp/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":null,"license_treatment":"permissive","name":"deepagents-acp","python_support":"supports_current","summary":"Agent Client Protocol integration for Deep Agents"},"popularity":{"monthly_downloads":214505,"position":9416,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.10"}