Codearkt
IlyaGusev40 स्टार
Implementation of the CodeAct agentic framework with Docker containers for security, MCP servers for tool integrations, and multi-agent support.
- ट्रांसपोर्ट
- stdio
- स्थिति
- लोकल
Power your agent
पब्लिशर का इंस्टॉल। PlugMCP एंडपॉइंट नहीं।
Host a copy with our keys and logs.
रजिस्ट्री में अभी कोई पैकेज्ड रिलीज़ नहीं है। रिपॉज़िटरी का README देखें.
रिमोट URL या आपकी मशीन पर कमांड? दोनों इंस्टॉल में क्या अंतर है
PlugMCP पर चलाएँ
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
लॉन्चCodeArkt is a battery-included implementation of the CodeAct framework with support for the multi-agent architecture. Ship autonomous agents that can reason, write, execute & iterate over code. All from a single Python package.
mypy --strict), CI, tests, Docker & Apache-2.0 license.Install the package:
pip install codearkt # requires Python ≥ 3.12
Run your MCP servers:
python -m academia_mcp --port 5056 # just an example MCP server
Run a server with a simple agent and connect it to your MCP servers:
import os
from codearkt.codeact import CodeActAgent
from codearkt.llm import LLM
from codearkt.server import run_server
# Use your own or remote MCP servers
mcp_config = {
"mcpServers": {"academia": {"url": "http://0.0.0.0:5056/mcp", "transport": "streamable-http"}}
}
# Create an agent definition
api_key = os.getenv("OPENROUTER_API_KEY", "")
assert api_key, "Please provide OpenRouter API key!"
agent = CodeActAgent(
name="manager",
description="A simple agent",
llm=LLM(model_name="deepseek/deepseek-chat-v3-0324", api_key=api_key),
tool_names=["arxiv_download", "arxiv_search"],
)
# Run the server with MCP proxy and agentic endpoints
run_server(agent, mcp_config, port=5055)
Now run a Python client:
from codearkt.client import query_agent
from codearkt.llm import ChatMessage
history = [ChatMessage(role="user", content="Find an abstract of the 2402.01030 paper")]
for event in query_agent(history, port=5055):
if event.content:
print(event.content, end="", flush=True)
Within seconds, you will see agents collaborating, executing Python snippets, and streaming the results back to your console.
You can also use existing clients, Gradio and terminal:
uv run -m codearkt.terminal --port 5055
uv run -m codearkt.gradio --port 5055
For now, explore the well-typed source code.
codearkt/
├─ codeact.py # Core agent logic
├─ python_executor.py # Secure sandbox for arbitrary code
├─ event_bus.py # Pub/Sub for agent events
├─ gradio.py # Optional web UI
└─ ...
examples/
└─ multi_agent/ # End-to-end usage demos
Pull requests are welcome! Please:
git checkout -b feature/my-featuremake installmake validate && make testJoin the discussion in Discussions or open an Issue.
CodeArkt is released under the Apache License 2.0 – see the LICENSE file for details.
Implementation of the CodeAct agentic framework with Docker containers for security, MCP servers for tool integrations, and multi-agent support.
टूल
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FAQ
इस पेज पर Cursor, Claude Desktop, Claude Code या VS Code के लिए stdio कॉन्फ़िग कॉपी करें। यह पब्लिशर का इंस्टॉल इस्तेमाल करता है, PlugMCP प्रॉक्सी नहीं।
इस रिकॉर्ड में कोई ज़रूरी एनवायरनमेंट वेरिएबल दर्ज नहीं है।
Codearkt stdio पर लोकल चलता है।
पिछली जाँच 2026-10-27 को हुई। Implementation of the CodeAct agentic framework with Docker containers for security, MCP servers for tool integrations, and multi-agent support.