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_agents/test_research.py

@@ -0,0 +1,24 @@
+"""
+Tests for ResearchAgent.
+"""
+
+import pytest
+from dcos.agents.research import ResearchAgent
+
+
+class TestResearchAgent:
+    def test_initialization(self):
+        agent = ResearchAgent()
+        assert agent.identity.name == "researcher"
+
+    def test_research(self):
+        agent = ResearchAgent()
+        result = agent.research("AI safety", depth=3)
+        assert result["topic"] == "AI safety"
+        assert len(result["key_findings"]) == 3
+
+    def test_act(self):
+        agent = ResearchAgent()
+        result = agent.act({"query": "test query"})
+        assert "findings" in result
+        assert result["confidence"] > 0