build(deps): bump the logging group across 1 directory with 2 updates#6
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build(deps): bump the logging group across 1 directory with 2 updates#6dependabot[bot] wants to merge 124 commits into
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…ne, Euclidean, VectorOps)
…p) with zero-copy I/O
… SECURITY, README, CI, templates)
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…double-consonant dedup
… HNSW recall tests
…n-testtools dependency
…hunker, TextUtils and add chunked ingestion for large documents
…kenizer for large document support
… auto-embed engine integration
- QuantizationType enum (NONE, SCALAR_INT8) - ScalarQuantizer with min/max calibration and INT8 encoding - QuantizedCosineSimilarity and QuantizedDotProduct SIMD kernels - SimilarityFunction updated with quantized variants - ScalarQuantizerTest for encode/decode and batch operations
- PersistenceMode enum (IN_MEMORY, DISK, MMAP) - IndexFileFormat for binary HNSW serialization - QuantizedVectorStore with INT8 compression - InMemoryVectorStore concurrent access improvements
- DiskHnswWriter for binary HNSW graph serialization - DiskHnswIndex for mmap-based read-only index loading - QuantizedHnswIndex with INT8 scalar quantization (4x memory reduction) - BM25Index and HnswIndex performance improvements - DiskHnswIndexTest and QuantizedHnswIndexTest
- ProductQuantizer: K-Means++ codebook training, PQ encode/decode, ADC distance computation, batch encoding - IvfPqIndex: full IVF-PQ implementing VectorIndex SPI with cluster assignment, residual-based PQ encoding, and multi-probe search - PostingList: per-cluster growable storage for PQ codes - 14 tests: PQ training/encode/decode/ADC + IVF-PQ search/recall/sorting
- Reranker SPI interface for pluggable re-ranking strategies - LlmReranker: listwise relevance scoring using Ollama generate API with prompt-based 0-10 scoring and graceful fallback - HybridSearchOrchestrator: integrated optional re-ranking post-processing - LlmRerankerTest: fallback behavior, empty input, topK limiting
- spector-gpu Maven module with Panama FFM CUDA bindings - GpuCapability: runtime CUDA detection (device count, name, memory) - GpuBatchSimilarity: SIMD-optimized batch dot product and cosine similarity using FMA Vector API operations - CudaKernelLauncher: PTX module loader, function resolver, kernel launcher with grid/block configuration - batch_similarity.cu: CUDA kernels for batch_cosine, batch_dot, batch_l2 with block-level shared memory reduction - 14 tests: GPU detection, batch similarity correctness, CUDA launcher
…hitecture - spector-cluster Maven module with gRPC/protobuf integration - spector_search.proto: 6 RPC definitions (vector, keyword, hybrid search, ingest, health check, stats) - ClusterCoordinator: fan-out/merge query execution via virtual threads with consistent hash shard routing - ShardNode: gRPC server wrapping SpectorEngine - SpectorSearchServiceImpl: full gRPC service delegating to local engine - RemoteShardClient: type-safe gRPC client for all 5 RPC methods - ClusterConfig: multi-node endpoint configuration with replication - ClusterConfigTest: routing, hash consistency, topology tests
…rEngine - IndexType enum (HNSW, IVF_PQ) for configurable index strategy - SpectorConfig: added indexType, ivfNlist, ivfNprobe, pqSubspaces with builder methods (withIvfPq) and auto-defaults - SpectorEngine: IVF-PQ auto-training pipeline that buffers ingested vectors and trains PQ codebooks after nlist*40 samples - Backward-compatible 7-arg constructor preserved - 4 new tests: auto-training, keyword search during buffering, config builder, auto-defaults
- HeavyPerformanceBenchmark: keyword/vector/hybrid at 50K-100K scale - IvfPqBenchmark: IVF-PQ search, PQ encode/decode, ADC distance, batch cosine similarity at 10K-50K scale - ConcurrencyBenchmark: multi-threaded search throughput - IngestionBenchmark: document ingestion throughput - PerformanceTestRunner: standalone runner with formatted results
- pom.xml: added spector-gpu, spector-cluster modules to reactor and dependencyManagement - README.md: expanded architecture (13 modules), 5 new features, updated comparison table (quantization, IVF-PQ, GPU, LLM, distributed), updated test suite (316+ tests), added roadmap checklist
Extract ~300 lines of duplicated graph traversal code (greedyClosest, searchLayer, selectNeighbors, addConnection, getNeighbors, setNeighbors) into AbstractHnswIndex base class with three template method hooks: - computeDistance(float[], int) — distance from query to stored node - getNodeVector(int) — float32 vector retrieval for pruning - storeVector(int, float[]) — vector storage on insertion HnswIndex: 413 -> 76 lines (-81%) QuantizedHnswIndex: 476 -> 226 lines (-53%) All 316+ tests passing, zero regressions.
- VectorIndex: add default isReadOnly() method (returns false) - DiskHnswIndex: override isReadOnly() to return true - KeywordIndex: add default remove(String id) method - BM25Index: expose existing removeDoc() logic via KeywordIndex.remove() Completes the deletion API path across the engine.
- New tagline: 'The Zero-Overhead, Agent-Ready AI Memory Backbone' - Added 4-pillar 'Why Spector?' section (Agent-Native MCP, SpectorQuant VASQ, Off-Heap Panama, Embedded/Standalone) - Added MCP Integration section with tool table and Claude config - Added spector-mcp to architecture tree and dependency graph - Updated test suite table (331+ tests including spector-mcp) - Expanded roadmap with MCP, LoRA routing, ColBERT reranking - Added JDK API status note in Prerequisites section - Removed competitor name-drops from positioning language - Reordered: Why Spector → MCP → Architecture → Quick Start → API → Performance → Comparison
New MkDocs pages: - architecture/mcp-integration.md: MCP server design, module structure, tool reference, design patterns, performance analysis - sdk-usage/mcp-server.md: practical setup guide for Claude Desktop, Cursor, and custom MCP clients with troubleshooting - getting-started/jdk-api-status.md: JDK incubator/preview API status, Vector API assessment, JVM flag reference, migration paths, FAQ
- mkdocs.yml: updated site_description, added MCP and JDK API nav entries - index.md: enterprise tagline, MCP metrics, agent integration nav section - about.md: MCP as #1 differentiator, agent-native comparison table, agentic AI memory use case, removed competitor name-drops - architecture/overview.md: added spector-mcp to module diagram, dependency graph, and new MCP agent data flow sequence diagram - roadmap.md: new Agentic AI section (MCP server, Streamable HTTP, LoRA adapter routing, ColBERT late interaction), updated summary table
Added 10 entries under 'Added — spector-mcp (Agent-Native MCP Server)' covering the MCP server, tools, design patterns, and test suite.
- Transition the spector-memory module to the Business Source License 1.1 (BSL 1.1) - Set BSL parameters: Licensor Spectrayan, Change Date May 27, 2030, Change License Apache 2.0 - Add BSL 1.1 License file under spector-memory/ - Update main NOTICE file to document licensing boundaries - Update main and module READMEs to reflect BSL 1.1 terms and badge
- Add spector-memory/pom.xml and register in parent pom.xml - Implement 4-tier storage (Working, Episodic, Semantic, Procedural cortex) - Implement off-heap mmap episodic partitions with Panama Arena - Implement 32-byte CognitiveRecordLayout header and SynapticTagEncoder Bloom filters - Implement CognitiveScorer with 6-phase fused scoring pipeline - Implement Dopamine system (SurpriseDetector with Welford online stats) - Implement Amygdala valence coloring, Hebbian spreading coactivation, and Habituation penalties - Implement sleep consolidation (ReflectDaemon K-Means clustering & compaction) - Implement prospective memory, proactive deduplication, and memory introspector - Add comprehensive suite of 33 unit and integration tests
…ools - Implement QuantizedEuclideanDistance SIMD function in spector-core - Register QuantizedEuclideanDistance in SimilarityFunction enum - Define GenerationOptions and TextGenerationProvider SPI contracts in spector-embed-api - Add dependency on spector-memory in spector-mcp/pom.xml - Create MemoryToolHandler base class for agent-native memory tools - Implement 8 new cognitive memory MCP tools: * core_memory_append: remember/update agent instructions * memory_forget: delete/tombstone memories by key * memory_introspect: examine memory capacity and partition health * memory_reinforce: manual consolidation/boost memory importance * memory_status: retrieve core memory and dopamine statistics * recall_context: query episodic/semantic stores with fused similarity * working_memory_scratchpad: volatile working buffer operations - Register the new tools in SpectorToolRegistry for LLM agent discovery
- Update docs/mkdocs.yml with new '🧠 Cognitive Memory' nav section - Add 19 comprehensive documentation pages under docs/docs/memory/ - index.md: Module overview, tagline, competitive comparisons, and vision - getting-started.md: Maven configuration, quickstart snippet, Claude/Ollama integration - architecture.md: Package-to-biological mappings and structural facade designs - scoring-pipeline.md: 6-phase scoring hot-loop cycle counts and formulas - cortex.md: 4-tier storage (Working, Episodic mmap, Semantic, Procedural stores) - hippocampus.md: sleep consolidation, K-Means, circadian reflection, compaction - synapse.md: 32-byte header, SynapticTagEncoder Bloom filter gating analysis - dopamine.md: SurpriseDetector, Welford stats, FlashbulbPolicy thresholds - amygdala.md: emotional coloring, ValenceTracker, and valence-filtered recall - hebbian.md: spread coactivation associations, HebbianGraph neurons - habituation.md: anti-filter bubble, decay penalties, recall frequency limits - inhibition.md: memory suppression, redaction, and block lists - performance.md: SIMD AVX2/AVX-512 benchmarks, cycle metrics, parallel tier scans - panama-design.md: Panama FFM, off-heap Arena, zero-GC, memory layouts - api-reference.md: builder pattern signatures and data models - interference.md: proactive interference and deduplication - prospective.md: future reminder scheduling - metamemory.md: introspective health statistics - sync.md: WAL and CloudSync reconciliation
- Increase warm-up iterations from 100 to 15,000 to trigger JVM C2 JIT SIMD compilation - Increase threshold to 150ms to provide reliable headroom under shared CPU loads
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…stem
- Hierarchical YAML config with profile support (spector-{profile}.yml)
- SpectorProperties: typed accessors (getString, getInt, getPath, getDuration, getEnum)
- Resolution order: overrides > sysprops > env vars > profile > user config > classpath defaults
- SpectorConfigFactory: typed records (EngineDefaults, EmbeddingDefaults, MemoryDefaults, IngestionDefaults)
- IngestionDefaults includes root-directory for config-driven file ingestion
- Apache Commons Configuration 2 dependency added to commons POM
- SpectorConfig.from(SpectorProperties) factory method - SpectorEngine accepts optional EmbeddingProvider constructor - EngineComponentFactory + VectorStoreFactory updated for config-driven creation - OllamaEmbeddingProvider updated for config-driven construction
- DocumentStore: serialize/deserialize to disk with JSON format - MappedVectorStore: ID recovery from persisted metadata - DocumentStorePersistenceTest + MappedVectorStoreIdRecoveryTest
- SpectorMemory.builder() accepts SpectorProperties for config-driven construction - MemoryPersistenceMode enum (IN_MEMORY, DISK) - AbstractTierStore, WorkingMemoryStore, SemanticMemoryStore, ProceduralMemoryStore updated - MemoryIndex updated for persistence - MemoryPersistenceTest + updated integration/benchmark tests
- New module: spector-runtime (resolves engine↔memory circular dep) - SpectorRuntime.from(props, embedder): creates engine + optional memory - Shared EmbeddingProvider between engine and memory - Config-driven: memory opt-in via spector.memory.enabled - Implements AutoCloseable for clean lifecycle management
- SpectorMcpMain: uses SpectorRuntime.from() instead of reflection-based engine builder - SpectorMcpServer: accepts SpectorRuntime, conditionally registers 7 memory tools - SpectorServer: accepts SpectorRuntime, memory field for future REST endpoints - 13 total MCP tools when memory.enabled: true (6 search + 7 cognitive memory)
- FileIngestionMain: CLI entry point for bulk file ingestion - FileIngestionService: configurable file discovery with glob patterns - Config-driven root-directory from spector.yml (with --root CLI override) - Auto-chunking for large files, Ollama auto-embedding - EmbeddingProviderFactory for config-driven provider creation
- New module: spector-dist with maven-shade-plugin (SpectorMcpMain as default main) - Parent POM: added spector-runtime + spector-dist to modules and dependencyManagement - Updated downstream POM deps for consistency across bench, cli, client, spring
- scripts/ingest-docs.bat: batch file for bulk file ingestion - scripts/mcp-config.json: example MCP config with placeholder paths - scripts/start-mcp.bat: batch file to launch MCP server - spector.yml.example: example config with sensible defaults (no hardcoded paths) - .gitignore: ignore spector.yml, .spector-data/, .spector-memory/
…-dist - README: added 7 memory tools to MCP table, spector.jar + --config, updated arch tree with spector-runtime/spector-dist, updated dep graph, fat JAR quick start, roadmap - docs/memory/performance.md: removed before/after refactoring language, professional tone - docs/sdk-usage/mcp-server.md: updated JAR paths, added config file section, memory tools - docs/architecture/overview.md: added runtime/dist to diagrams, updated dep rules - docs/memory/getting-started.md: updated Claude config for spector.yml - spector-mcp/README.md: complete rewrite with runtime architecture, 13 tools
- README: MCP data flow → Mermaid graph with styled nodes - mcp-integration.md: Python vs Spector path comparison → Mermaid graphs - scoring-pipeline.md: gating efficiency funnel → Mermaid vertical flowchart - panama-design.md: zero-copy data path → Mermaid graph Binary byte layouts (record headers, partition formats) intentionally kept as ASCII art — Mermaid cannot represent byte-offset structures effectively.
Bumps the logging group with 2 updates in the / directory: org.slf4j:slf4j-api and [ch.qos.logback:logback-classic](https://github.com/qos-ch/logback). Updates `org.slf4j:slf4j-api` from 2.0.17 to 2.0.18 Updates `ch.qos.logback:logback-classic` from 1.5.18 to 1.5.33 - [Release notes](https://github.com/qos-ch/logback/releases) - [Commits](qos-ch/logback@v_1.5.18...v_1.5.33) --- updated-dependencies: - dependency-name: ch.qos.logback:logback-classic dependency-version: 1.5.32 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: logging - dependency-name: org.slf4j:slf4j-api dependency-version: 2.0.18 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: logging ... Signed-off-by: dependabot[bot] <support@github.com>
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README: - Add VASQ-4 to features, programmatic API example, configuration table - Update architecture differentiators and compression highlights - Update roadmap: VASQ-4 done, add pending items (#2-#6) Docs: - vasq-deep-dive.md: add full VASQ-4 section (memory layout, calibration, SIMD kernel, usage tabs, expected recall table) - quantization-comparison.md: update Spector approach, tables, recall tiers - roadmap.md: new detailed roadmap page covering all 10 items with status, projected savings, and implementation scope - mkdocs.yml: add Roadmap to nav
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Bumps the logging group with 2 updates in the / directory: org.slf4j:slf4j-api and ch.qos.logback:logback-classic.
Updates
org.slf4j:slf4j-apifrom 2.0.17 to 2.0.18Updates
ch.qos.logback:logback-classicfrom 1.5.18 to 1.5.33Release notes
Sourced from ch.qos.logback:logback-classic's releases.
... (truncated)
Commits
124e8b4prepare release 1.5.33d8fd6f2escapeTags in message field when printing status messages95edbebhostnameVerification default to true in SSLParametersConfiguration, SSL.DEFAU...b768a96remove spurious java.swing.* import12cf2c5classes in java.lang and java.util are now whitelisted individuallye9133edfix typo47089a2added Filip Egeric icla85735f7Modified ConversionRuleAction.java: Updated validPreconditions() to614f7a7the official name for initial instructions file foe coding agents is AGENTS.mdfe50bb5fix: do not warn when both converterClass and class attributes are specified ...