Prepare WaveMind v2.6.1 release

deploy/cloud/gcp-remote-active-active/terraform.tfvars.example

@@ -1,6 +1,6 @@
 project_id   = "wavemind-benchmarks"
 deployment_id = "wavemind-gcp-regions"
-wavemind_image = "ghcr.io/caspiang/wavemind:2.6.0"
+wavemind_image = "ghcr.io/caspiang/wavemind:2.6.1"
 
 # Use the public address of the machine or self-hosted runner performing SSH.
 ssh_source_ranges = ["203.0.113.10/32"]

deploy/helm/wavemind/Chart.yaml

@@ -2,8 +2,8 @@ apiVersion: v2
 name: wavemind
 description: Local-first dynamic memory layer with scheduled cluster repair
 type: application
-version: 0.3.0
-appVersion: "2.6.0"
+version: 0.3.1
+appVersion: "2.6.1"
 keywords:
   - ai
   - memory

deploy/helm/wavemind/values.yaml

@@ -3,7 +3,7 @@ replicationFactor: 2
 
 image:
   repository: ghcr.io/caspiang/wavemind
-  tag: "2.6.0"
+  tag: "2.6.1"
   pullPolicy: IfNotPresent
 
 nameOverride: ""

deploy/remote/inventory.example.json

@@ -3,7 +3,7 @@
   "deployment_id": "wavemind-staging",
   "environment": "staging",
   "source": "ssh-remote-production-lab",
-  "image": "ghcr.io/caspiang/wavemind:2.6.0",
+  "image": "ghcr.io/caspiang/wavemind:2.6.1",
   "regions": [
     {
       "id": "eu-west",

deploy/serverless/wavemind-serverless.sample.json

@@ -37,7 +37,7 @@
             "containers": [
               {
                 "name": "api",
-                "image": "ghcr.io/caspiang/wavemind:2.6.0",
+                "image": "ghcr.io/caspiang/wavemind:2.6.1",
                 "command": [
                   "wavemind"
                 ],
@@ -175,7 +175,7 @@
             "containers": [
               {
                 "name": "api",
-                "image": "ghcr.io/caspiang/wavemind:2.6.0",
+                "image": "ghcr.io/caspiang/wavemind:2.6.1",
                 "command": [
                   "wavemind"
                 ],

docker-compose.yml

@@ -4,7 +4,7 @@ services:
       context: .
       args:
         INSTALL_OPTIONAL: "false"
-    image: wavemind:2.6.0
+    image: wavemind:2.6.1
     restart: unless-stopped
     environment:
       WAVEMIND_DB: /data/wavemind.sqlite3

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "wavemind"
-version = "2.6.0"
+version = "2.6.1"
 description = "Local-first dynamic memory field with vector search and wave-field re-ranking"
 readme = "README.md"
 license = "MIT"

wavemind/__init__.py

@@ -244,7 +244,7 @@
     restore_recovery_journal,
 )
 
-__version__ = "2.6.0"
+__version__ = "2.6.1"
 
 __all__ = [
     "FieldProjector",