jlma-agentic-ai/testing_projects

To run multiple projects in claude code web tests

JavaScript

No license

Total donated

Undistributed

Share with your subscribers:

Recipients

How the donated funds are distributed

Support the dependencies of jlma-agentic-ai/testing_projects

neural-trader/neural-trader-rust

Ultra-low latency neural trading engine with Rust + Node.js bindings

ruvnet/neural-trader

Conformal prediction for neural trading with guaranteed intervals

ruvnet/agentic-flow

AgentDB v3 - Intelligent agentic vector database with RVF native format, RuVector-powered graph DB, Cypher queries, ACID persistence. 150x faster than SQLite with self-learning GNN, 6 cognitive memory patterns, semantic routing, COW branching, sparse/partitioned/fused attention (10-100x speedup), and comprehensive MCP integration. Runs anywhere: Node.js, browsers, edge, offline.

ruvnet/dspy.ts

DSPy.ts 2.1 - 100% DSPy Python compliant TypeScript framework with multi-agent orchestration, self-learning capabilities, MIPROv2 optimizer, and comprehensive module library. Powered by AgentDB, ReasoningBank, and Swarm architecture.

mljs/matrix

Matrix manipulation and computation library

mljs/regression

Regression algorithms

ruvnet/neural-trader

High-performance neural trading system with native HNSW vector search + SIMD optimization (150x faster), complete NAPI API (178 functions), advanced CLI with interactive mode, GPU acceleration, real-time execution, multi-agent swarm coordination, neural networks, risk management, sports betting, syndicate collaboration, E2B cloud execution, MCP server control, and cloud deployment support

ruvnet/ruv-FANN

High-performance neural network swarm orchestration in WebAssembly