release: synaptic-memory v0.2.0 — PostgreSQL 백엔드 + PyPI 준비

v0.2.0 릴리즈:
- PostgreSQL 백엔드 (pgvector HNSW + pg_trgm + recursive CTE)
- 코드 품질 개선 (Literal direction, configurable consolidation)
- 문서: README, ARCHITECTURE, ROADMAP, CHANGELOG
- GitHub Actions CI
- PyPI 메타데이터 (classifiers, URLs, keywords)
- 106 tests (93 unit + 13 integration)

Author: SonAIengine

CHANGELOG.md

@@ -0,0 +1,39 @@
+# Changelog
+
+## v0.2.0 (2026-03-21)
+
+### Added
+- **PostgreSQL backend** — asyncpg + pgvector HNSW + pg_trgm + recursive CTE
+- Vector search with cosine distance (pgvector)
+- Trigram fuzzy matching with graceful ILIKE fallback
+- Hybrid search method: FTS + fuzzy + vector merged results
+- Connection pooling (asyncpg Pool, min=2, max=10)
+- Configurable `embedding_dim` parameter
+- `execute_raw()` for admin/testing SQL
+- `ResonanceWeights` added to public exports
+- Configurable consolidation thresholds (TTL, promotion access counts)
+- Edge direction type safety: `Literal["both", "incoming", "outgoing"]`
+- SQLite batch operations with rollback on error
+- README.md, ARCHITECTURE.md, ROADMAP.md documentation
+- GitHub Actions CI (Python 3.12/3.13)
+- Integration test suite for PostgreSQL (13 tests)
+
+### Changed
+- Consolidation constants now accept `__init__` parameters instead of module globals
+
+## v0.1.0 (2026-03-21)
+
+### Added
+- Core models: Node, Edge, ActivatedNode, SearchResult, DigestResult
+- Enums: NodeKind (9), EdgeKind (7), ConsolidationLevel (4)
+- Protocols: StorageBackend, Digester, QueryRewriter, TagExtractor
+- SynapticGraph facade: add, link, search, reinforce, consolidate, prune, decay
+- Hybrid 3-stage search: FTS + fuzzy → synonym expansion → query rewrite
+- Hebbian learning engine: co-activation reinforcement with anti-resonance
+- 4-axis resonance scoring: relevance × importance × recency × vitality
+- Memory consolidation cascade: L0→L1→L2→L3 with TTL and promotion
+- Korean/English synonym map (38 groups)
+- Markdown exporter
+- MemoryBackend (dict-based, zero deps)
+- SQLiteBackend (FTS5, recursive CTE, WAL mode)
+- 93 unit tests, pyright strict, ruff clean

pyproject.toml

@@ -4,13 +4,30 @@ build-backend = "hatchling.build"
 
 [project]
 name = "synaptic-memory"
-version = "0.1.0"
+version = "0.2.0"
 description = "Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation."
 license = "MIT"
 requires-python = ">=3.12"
+readme = "README.md"
 authors = [{ name = "Son Seongjun" }]
+keywords = ["knowledge-graph", "hebbian-learning", "spreading-activation", "memory-consolidation"]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "Framework :: AsyncIO",
+    "Typing :: Typed",
+]
 dependencies = []
 
+[project.urls]
+Homepage = "https://github.com/PlateerLab/synaptic-memory"
+Repository = "https://github.com/PlateerLab/synaptic-memory"
+Changelog = "https://github.com/PlateerLab/synaptic-memory/blob/main/CHANGELOG.md"
+
 [project.optional-dependencies]
 postgresql = ["asyncpg>=0.30", "pgvector>=0.3"]
 sqlite = ["aiosqlite>=0.20"]