feat: implement DCOS source tree, tests, and build configuration

Complete implementation of the DCOS package including:
- 40+ Python source files across agents, communication, core, learning, memory, protocols, utils
- pyproject.toml build configuration
- 102 unit tests across all subsystems
- Fixed flake.nix (Python 3.12, proper dependencies, pyproject build)
- Fixed .woodpecker.yml (correct paths, removed silent-fail flags)
- Added .gitignore
- Cleared stale pytest cache

tests/test_integration/__init__.py

@@ -0,0 +1 @@
+"""Integration tests."""

tests/test_integration/test_agent_collaboration.py

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+"""
+Integration tests for agent collaboration workflows.
+"""
+
+import pytest
+from dcos.core.scheduler import TaskScheduler, Task
+from dcos.core.registry import AgentRegistry, AgentRecord
+from dcos.core.coordinator import AgentCoordinator
+from dcos.agents.planning import PlanningAgent
+from dcos.agents.research import ResearchAgent
+
+
+class TestAgentCollaboration:
+    def test_scheduler_registry_integration(self):
+        """Verify scheduler and registry work together."""
+        scheduler = TaskScheduler()
+        registry = AgentRegistry()
+
+        registry.register(AgentRecord(agent_id="a1", name="planner", role="planner"))
+        task = Task(name="plan", agent_id="a1")
+        scheduler.enqueue(task)
+        dequeued = scheduler.dequeue()
+        assert dequeued is not None
+        record = registry.get("a1")
+        assert record is not None
+
+    def test_planner_researcher_collaboration(self):
+        """Verify planner can decompose and researcher can fulfill."""
+        planner = PlanningAgent()
+        researcher = ResearchAgent()
+
+        tasks = planner.decompose("research_project")
+        assert len(tasks) > 0
+
+        research_result = researcher.research(tasks[0]["id"], depth=2)
+        assert research_result["topic"] == tasks[0]["id"]
+
+    def test_coordinator_workflow(self):
+        """Verify coordinator can orchestrate a workflow."""
+        coord = AgentCoordinator()
+        coord.create_workflow("wf_1", ["planner", "researcher", "logician"])
+        assert coord.get_workflow_status("wf_1") is not None
+        assert coord.get_workflow_status("wf_1")["status"] == "created"
+
+        assigned = coord.assign_task("wf_1", "researcher", "Gather data")
+        assert assigned is True
+
+        coord.complete_workflow("wf_1")
+        status = coord.get_workflow_status("wf_1")
+        assert status["status"] == "completed"