agentcomet 0.5.0

Modern Agent Management, Version Control & Orchestration Framework

🌠 AgentComet

Build once. Run anywhere. Resume anytime.
Stateful. Portable. Composable AI agents.

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⚡ The Problem

Every AI team ends up rebuilding the same agents.

Same logic. Same tools. Different environment. New framework.

And the worst part? All the memory, context, and progress is lost. Agents today are stateless, fragile, and non-portable.

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🚀 Introducing AgentComet

AgentComet is a modern agent framework designed to make agents:

• Stateful by default
• Portable across environments
• Resumable at any point in time

Instead of treating agents like scripts, AgentComet treats them like artifacts.

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🎯 What makes AgentComet different?

AgentComet introduces a new primitive: Portable, Stateful Agent Artifacts (.uaf)

You don't just write agents. You package, move, version, and resume them.

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🚀 Quick Start

Installation

pip install agentcomet

Build an Agent

Create an agent, assign it custom tools, and let it handle the heavy lifting.

from agentcomet import Agent, tool
from agentcomet.models import Ollama

@tool
def greet(name: str) -> str:
    return f"Hello, {name}!"

class GreeterAgent(Agent):
    def setup(self):
        self.name = "greeter"
        self.add_tools(greet)

# Instantiate and chat
agent = GreeterAgent(llm=Ollama(model="llama3"))
print(agent.run("Say hello to Alice!"))

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✨ Core Capabilities

🧠 Persistent Memory

Every agent comes with a highly flexible key-value memory store (self.memory). Conversational history is auto-saved without any manual boilerplate.

agent.memory.save("user_preferences", {"theme": "dark"})
print(agent.memory.get("messages"))

💾 State Checkpoints

Save and restore exact agent timelines. Need to rollback a prompt mistake? Just load the state.

agent.save_state("checkpoint-1")
agent.load_state("checkpoint-1")

📦 Portable Agents with .uaf

Stop writing boilerplate to serialize agent code. Export your entire agent—along with its memory, history, LLM config, and tools—into a portable .uaf archive.

agent.export("assistant.uaf")

from agentcomet import load_agent
agent = load_agent("assistant.uaf")

☁️ Registry & Hub (Push & Pull)

Sync your agents with either a locally hosted AgentComet Studio registry or the public cloud registry AgentComet Hub.

🏢 1. AgentComet Studio (Local Registry)

Sync your agents locally across your team.

A. Start AgentComet Studio

docker pull vaibhavhaswani/agentcomet-studio:latest

docker run -p 3451:3451 \
  -v $(pwd)/data:/app/data \
  vaibhavhaswani/agentcomet-studio:latest

Windows (PowerShell):

docker run -p 3451:3451 -v ${PWD}/data:/app/data vaibhavhaswani/agentcomet-studio:latest

B. Configure and Push/Pull

from agentcomet import Settings, Agent

# Configure SDK
Settings.init(
    AGENTCOMET_URL="http://localhost:3451",
    AGENTCOMET_KEY="your-local-key"
)

# Push — auto-increments version
agent.push(repo="assistant")

# Pull — latest or specific version
agent = Agent.pull(repo="assistant", version="latest")

🌌 2. AgentComet Hub (Cloud Registry)

Publish and distribute your agents on the official public registry at ac.defaultloop.com.

A. Configure the SDK

from agentcomet import Settings, Agent

# Configure SDK to target the cloud registry
Settings.init(
    AGENTCOMET_URL="https://ac.defaultloop.com",
    AGENTCOMET_KEY="your-hub-api-token"
)

B. Push & Pull

# Push to the cloud registry — auto-increments version and creates if it doesn't exist
agent.push(repo="username/assistant", create=True)

# Pull from the cloud registry
agent = Agent.pull(repo="username/assistant", version="latest")

🔌 Multi-Provider LLM Support

Switching your backend is as simple as defining a new class.

from agentcomet.models import OpenAIChat, Gemini, Anthropic, Ollama

agent.use_llm(OpenAIChat(model="gpt-4o"))

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🧠 Why this matters

We believe the future of AI is not just models. It's agents that evolve over time.

Agents that:

• Learn
• Persist
• Move
• Continue

AgentComet is a step toward that future.

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🛣️ Vision

This is just the beginning.

AgentComet is part of a larger vision to build:

• A universal agent format
• A global agent registry
• A composable ecosystem of agents

Where agents are not rewritten, but shared, reused, and extended.

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📚 Documentation & Website

• Official Website: https://ac.defaultloop.com
• Comprehensive Docs: Refer to the detailed Usage Documentation for full API schemas, setup guides, and config settings.

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🤝 Contributing

• ⭐ Star the repo
• 🛠️ Break things
• 🚀 Open PRs

All contributions are welcome.

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📄 License & Legal

• License: Apache License 2.0
• Patent: Indian Provisional Patent Application No. 202611013684
• Branding: "AgentComet" is a trademark. See BRANDING.md.