release: prepare v0.2.3

- Fix: critical bug in OnDeviceEmbeddingsAdapter (outputs.first)
- Fix: invalid Mermaid diagram in README
- Fix: move http to dependencies for tool scripts
- Improvement: replace forEach with for loops in cleanup
- CI/CD: disable auto benchmark trigger, add Linux desktop
- Chore: exclude test_resources/ and tool/ from pub package
- Update: version to 0.2.3 in all files

Author: iberi22

.pubignore

@@ -26,3 +26,9 @@ pubspec.lock
 
 # Nested test app (not part of published package)
 isar_agent_memory_tests/
+
+# Test resources (models downloaded on-demand)
+test_resources/
+
+# Development tools
+tool/

CHANGELOG.md

@@ -1,5 +1,14 @@
 # Changelog
 
+## 0.2.3 - 2024-11-24
+
+- **Fix**: Critical bug in `OnDeviceEmbeddingsAdapter` - corrected `outputs.values.first` to `outputs.first`.
+- **Fix**: Corrected invalid Mermaid diagram syntax in README (ASCII art → valid Mermaid).
+- **Fix**: Moved `http` from dev_dependencies to dependencies for tool scripts.
+- **Improvement**: Replaced `forEach` with for loops in resource cleanup (better Dart practice).
+- **CI/CD**: Disabled automatic benchmark workflow trigger (manual only) and added Linux desktop support.
+- **Chore**: Added `test_resources/` and `tool/` to `.pubignore` to reduce package size.
+
 ## 0.2.2 - 2025-08-18
 
 - **New Feature**: Added `OnDeviceEmbeddingsAdapter` using `onnxruntime` for privacy-first, local embedding generation.

README.md

@@ -14,7 +14,7 @@
 ### 1. Add dependency (pubspec.yaml)
 
 ```yaml
-isar_agent_memory: ^0.2.2
+isar_agent_memory: ^0.2.3
 isar: ^3.1.0+1
 # ObjectBox is the default vector backend.
 # onnxruntime is used for on-device embeddings.

pubspec.yaml

@@ -1,5 +1,5 @@
 name: isar_agent_memory
-version: 0.2.2
+version: 0.2.3
 description: >-
   Universal, local-first cognitive memory package for LLMs and AI agents. Graph-based, explainable, LLM-agnostic. Inspired by Cognee/Graphiti.
 repository: https://github.com/iberi22/isar_agent_memory

tool/benchmark.dart

@@ -9,7 +9,8 @@ Future<void> main() async {
   final vocabPath = 'test_resources/vocab.txt';
 
   if (!File(modelPath).existsSync() || !File(vocabPath).existsSync()) {
-    print('Error: Model files not found. Run tool/setup_on_device_test.dart first.');
+    print(
+        'Error: Model files not found. Run tool/setup_on_device_test.dart first.');
     exit(1);
   }
 
@@ -95,7 +96,7 @@ Future<void> main() async {
 
 ## Throughput
 
-- **Total Time:** ${(toMs(latencies.reduce((a,b)=>a+b)) / 1000).toStringAsFixed(2)} s
+- **Total Time:** ${(toMs(latencies.reduce((a, b) => a + b)) / 1000).toStringAsFixed(2)} s
 - **Est. IPS (Inferences Per Second):** ${(1000000 / avg).toStringAsFixed(1)}
 
 ''';