Isomorphic storage client for Supabase.
Symbolic computing and numeric evaluations for JavaScript and Node.js
Canvas for Node.js with skia backend
Portable WASM embedding generation with SIMD and parallel workers - run text embeddings in browsers, Cloudflare Workers, Deno, and Node.js
Sanity CLI tool for managing Sanity projects and organizations
Project governance CLI — tasks, epics, ADRs, wiki indexing
Native Rust acceleration for Brainy — SIMD distance, vector quantization, zero-copy mmap, native embeddings. Free tier for storage, Pro license for compute acceleration.
V3 Embedding Service - OpenAI, Transformers.js, Agentic-Flow (ONNX), Mock providers with hyperbolic embeddings, normalization, and chunking
Core package for Cortex, the ORM for Vector Databases
SAP Fiori documentation indexing
Match balanced character pairs, like "{" and "}"
Standalone hybrid-search memory backend for Cortex. Postgres + pgvector + tsvector, fused with reciprocal rank fusion. Cortex's canonical storage backend — supports embedded PGlite for personal installs and external Postgres for VPS / cloud deploys. Sel
A light-weight module that brings Fetch API to node.js
pgvector support for Node.js, Deno, and Bun (and TypeScript)
OpenClaw plugin for Cortex memory — Auto-Recall, Auto-Capture, and agent memory tools
CLI to initialize and manage Cortex Context (Knowledge Graph) in any VS Code workspace
Common utilities for ChromaDB AI embedding packages
Core types and classes for Google services.
Official TypeScript SDK for Cortex API — secure LLM gateway
This library provides a high-performance Node.js client for Baseten.co endpoints including embeddings, reranking, and classification. It was built for massive concurrent POST requests to any URL, also outside of baseten.co. The PerformanceClient is built
All four BLAKE2 variants (blake2b, blake2bp, blake2s, blake2sp) for Node.js, with stream support
CLI for creating and managing embeddings indexes
Lightweight core CLI surface for Claude Flow — memory + hooks commands only. Designed to load fast on cold npx cache (<5s) so plugin skills don't race the 30s MCP-startup timeout. The full @claude-flow/cli metapackage lazy-loads everything else on top of
Local, repo-scoped context platform for coding assistants. Semantic search, graph relationships, and architectural rule context.
Embedding engines (Model2Vec static + BERT via Candle + static-hash fallback) and HNSW vector database for post-cortex. Self-contained ML stack — depend on this crate when you need vector search without the full post-cortex orchestrator.
Intelligent conversation memory system for AI assistants — persistent knowledge storage, semantic search, knowledge graph, MCP + gRPC transports. Facade crate re-exporting the post-cortex workspace stack.
Conversation memory orchestrator for post-cortex. Ties storage + embeddings + graph + session + summary into a single lock-free memory hierarchy with async pipelines and a canonical PostCortexService API.
HTTP / gRPC / SSE / stdio daemon for post-cortex. Hosts the rmcp Model Context Protocol surface, the tonic gRPC API, and ships the `pcx` CLI binary.