init: first commit to Gitea mirror, update README with Docker quick start and new repo URL

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.claude/hooks/session_breath.py

@@ -0,0 +1,70 @@
+#!/usr/bin/env python3
+# ============================================================
+# SessionStart Hook: auto-breath on session start
+# 对话开始钩子：自动浮现最高权重的未解决记忆
+#
+# On SessionStart, this script calls the Ombre Brain MCP server's
+# breath tool (empty query = surfacing mode) via HTTP and prints
+# the result to stdout so Claude sees it as session context.
+#
+# This works for OMBRE_TRANSPORT=streamable-http deployments.
+# For local stdio deployments, the script falls back gracefully.
+#
+# Config:
+#   OMBRE_HOOK_URL  — override the server URL (default: http://localhost:8000)
+#   OMBRE_HOOK_SKIP — set to "1" to disable the hook temporarily
+# ============================================================
+
+import json
+import os
+import sys
+import urllib.request
+import urllib.error
+
+def main():
+    # Allow disabling the hook via env var
+    if os.environ.get("OMBRE_HOOK_SKIP") == "1":
+        sys.exit(0)
+
+    base_url = os.environ.get("OMBRE_HOOK_URL", "http://localhost:8000").rstrip("/")
+
+    # Build MCP call via HTTP POST to the streamable-http endpoint
+    # The breath tool with no query triggers surfacing mode.
+    payload = json.dumps({
+        "jsonrpc": "2.0",
+        "id": 1,
+        "method": "tools/call",
+        "params": {
+            "name": "breath",
+            "arguments": {"query": "", "max_results": 2}
+        }
+    }).encode("utf-8")
+
+    req = urllib.request.Request(
+        f"{base_url}/mcp",
+        data=payload,
+        headers={"Content-Type": "application/json"},
+        method="POST",
+    )
+
+    try:
+        with urllib.request.urlopen(req, timeout=8) as response:
+            raw = response.read().decode("utf-8")
+            data = json.loads(raw)
+            # Extract text from MCP tool result
+            result_content = data.get("result", {}).get("content", [])
+            text_parts = [c.get("text", "") for c in result_content if c.get("type") == "text"]
+            output = "\n".join(text_parts).strip()
+            if output and output != "权重池平静，没有需要处理的记忆。":
+                print(f"[Ombre Brain - 记忆浮现]\n{output}")
+    except (urllib.error.URLError, OSError):
+        # Server not available (local stdio mode or not running) — silent fail
+        pass
+    except Exception:
+        # Any other error — silent fail, never block session start
+        pass
+
+    sys.exit(0)
+
+if __name__ == "__main__":
+    main()