deepagents-acp
Agent Client Protocol integration for Deep Agents
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later; agent must be created with a LangGraph checkpointer if session persistence is needed; ACP-compatible editor (e.g.
- Zed) must be configured to point to the server command.
- Active maintenance with a recent release (2 days old) and low install friction.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-08-12 (2 days) · last repo commit 2026-08-14 · 27,774 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 214,505 downloads/mo, #9,416 on PyPI
Alternatives
Verify before relying
pip install deepagents-acp
import asyncio
from deepagents_acp.server import AgentServerACP
from deepagents import create_deep_agent
from acp import run_agent
async def main():
agent = create_deep_agent(system_prompt="You are helpful")
server = AgentServerACP(agent)
await run_agent(server)
asyncio.run(main())- Whether the package works with all ACP-compatible editors or only tested ones like Zed
- Performance characteristics when running agents with large conversation histories or complex tool sets
- Whether session persistence works reliably across different checkpointer implementations
What it is and 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.
The 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).
Use it for
- 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
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
deepagents-acp on PyPI
Before you install
Active maintenance with a recent release (2 days old) and low install friction. Requires Python 3.11 or later and three runtime dependencies (agent-client-protocol, deepagents, python-dotenv), all of which are standard ecosystem packages.
Requires Python 3.11 or later; agent must be created with a LangGraph checkpointer if session persistence is needed; ACP-compatible editor (e.g. Zed) must be configured to point to the server command.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install deepagents-acp
import asyncio
from deepagents_acp.server import AgentServerACP
from deepagents import create_deep_agent
from acp import run_agent
async def main():
agent = create_deep_agent(system_prompt="You are helpful")
server = AgentServerACP(agent)
await run_agent(server)
asyncio.run(main())Verify before relying
- Whether the package works with all ACP-compatible editors or only tested ones like Zed
- Performance characteristics when running agents with large conversation histories or complex tool sets
- Whether session persistence works reliably across different checkpointer implementations
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesagent-client-protocoldeepagentspython-dotenv |
| Maintenance | Actively maintained 2 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 214,505 / month, #9,416 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Python Modules |
Evidence: deepagents_acp-0.0.10-py3-none-any.whl
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See also agent-client-protocol · deepagents · deepagents-cli · deepagents-code · fast-agent-mcp · pydantic-deep · jupyter-ai-acp-client · langchain-quickjs · langchain-daytona · langchain-modal