coactra 0.2.2

Composable libraries for AI agent fleets — model calls, memory, workspace, workflow, team, and agent composition in one package.

coactra

Component-based orchestration library for agentic systems. Coactra is Team-first: Team owns agent registration, policy, workflow routing, and model resolution, while Agent remains a thin runtime shell over pydantic-ai.

pip install "coactra[agent]"

Common extras:

pip install "coactra[agent-gateway,oauth]"  # MCP gateway and OAuth
pip install "coactra[graphiti]"
pip install "coactra[mem0]"
pip install "coactra[langgraph]"
pip install "coactra[sql]"

Small Surface

from coactra import Team, Scope, Policy, Skill, Workflow

Submodule helpers when wiring adapters:

from coactra.agent import MCPServer
from coactra.workflow import step

Use the root surface for application code. Use lower-level modules only for adapters and host runtime wiring:

• coactra.agent for event/runtime types and outbound A2A transport (coactra.agent.adapters)
• coactra.workflow and coactra.workflow.ledger for workflow engines and durable work storage
• coactra.team.directory for org/member/seat persistence
• coactra.memory and coactra.workspace for backend integration

Bring Existing Pieces

import asyncio
import os

from coactra import ModelProfile, ModelResolver, ModelRoute, Policy, Scope, Team
from coactra.agent import MCPServer


async def main() -> None:
    team = Team(
        scope=Scope.local(),
        policy=Policy.permissive(),
        model_resolver=ModelResolver([
            ModelRoute(
                capability="existing-stack",
                profile=ModelProfile(
                    name="existing-stack",
                    model="openai/qwen3.6-plus",
                    api_base="https://opencode.ai/zen/go/v1",
                    api_key=os.environ["OC_KEY"],
                ),
            )
        ]),
    )
    agent = await team.add_agent(
        name="existing-stack-agent",
        model_capability="existing-stack",
        tools=[MCPServer(url="https://tools.example/mcp", name="tools")],
        memory="inprocess",
        workspace="./desk",
    )
    try:
        print(await agent.run("Use my existing stack"))
    finally:
        await agent.aclose()


asyncio.run(main())

See examples/acceptance/ for the checked examples that define the alpha acceptance path.