Codearkt
IlyaGusev40 étoiles
Implementation of the CodeAct agentic framework with Docker containers for security, MCP servers for tool integrations, and multi-agent support.
- Transport
- stdio
- État
- Local
Alimenter votre agent
Installation de l'éditeur. Ce n'est pas un endpoint PlugMCP.
Host a copy with our keys and logs.
Pas encore de version packagée dans le registre. Suivez le README du dépôt.
URL distante ou commande sur votre machine ? Ce qui distingue les deux installations
Exécuter sur PlugMCP
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.
LancerCodeArkt 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.
Outils
Pas encore de liste d'outils. Les serveurs distants en obtiennent une après le premier contrôle d'état.
FAQ
Copiez sur cette page la configuration stdio pour Cursor, Claude Desktop, Claude Code ou VS Code. Elle utilise l'installation de l'éditeur, pas un proxy PlugMCP.
Aucune variable d'environnement requise n'est indiquée sur cette fiche.
Codearkt s'exécute en local via stdio.
Dernière vérification : 2026-10-27. Implementation of the CodeAct agentic framework with Docker containers for security, MCP servers for tool integrations, and multi-agent support.