Self-learning vector memory for AI agents — single-file .rvf cognitive container with HNSW search, episodic Reflexion memory, causal graph + Cypher, 9 RL algorithms, Thompson Sampling bandit, 41 MCP tools, hybrid (BM25 + dense) retrieval, GNN attention. 1

For learning typescript, this project describes the application, at Spartans and Heroes as users of system. The Spartans describes amount of death peoples and Heroes amount of saved peoples.

Learning typescript.

TypeScript is a language for application scale JavaScript development

Advanced Memory API for AI Agents with Reinforcement Learning - TypeScript/JavaScript SDK

Visitor keys used to help traverse the TypeScript-ESTree AST

Types for the TypeScript-ESTree AST spec

A parser that converts TypeScript source code into an ESTree compatible form

An ESLint custom parser which leverages TypeScript ESTree

TypeScript scope analyser for ESLint

Utilities for working with TypeScript + ESLint together

Self-Optimizing Neural Architecture (SONA) - Runtime-adaptive learning with LoRA, EWC++, and ReasoningBank for LLM routers and AI systems. Sub-millisecond learning overhead, WASM and Node.js support.

TypeScript plugin for ESLint

Type utilities for working with TypeScript + ESLint together

Utilities for collecting TSConfigs for linting scenarios.

Standalone TypeScript project service wrapper for linting.

List of ML tasks for huggingface.co/tasks

Tooling which enables you to use TypeScript with ESLint

Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms

AI Manipulation Defense System (AIMDS) with self-learning, prompt injection detection, and vector search integration