Lightweight browser detector
SOTA NPM module for agentic processes using local or cloud LLMs.
Standalone swarm coordination - up to 100+ agents, 4 topologies, hive-mind, consensus
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
Core library for multi-model-agent: provider runners (Claude, Codex, OpenAI-compatible), routing logic, config schema, and tool/sandbox primitives.
Turn a function into an `http.Agent` instance
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
Detect Browser, Engine, OS, CPU, and Device type/model from User-Agent data. Supports browser & node.js environment
VoltAgent LibSQL - LibSQL/Turso Memory provider integration for VoltAgent
Detect Browser, Engine, OS, CPU, and Device type/model from User-Agent data. Supports browser & node.js environment
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
Alvin Bot — open-source, self-hosted autonomous AI agent on Telegram, Slack, Discord, WhatsApp, Signal, terminal & web. Built on the Claude Agent SDK with a multi-provider engine (OpenAI, Groq, Gemini, NVIDIA NIM, OpenRouter, Ollama) and automatic failove
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. This package contains the logic for building realtime voice agents on the server or in the browser.
The Stockfish chess engine in Web Assembly (WASM)
Get a user agent string across all JavaScript Runtime Environments
LangGraph Multi-Agent Supervisor
[](https://www.npmjs.com/package/@aws-sdk/middleware-user-agent) [](https://www.npmjs.c
An HTTP(s) proxy `http.Agent` implementation for HTTP
CLI tool for VoltAgent applications
PARALLAX ENGINE plugin for OpenCode -- protocol enforcement, friction-loop verification, mode switching (plan/build/debug/horizon), trace recording, coherence scoring, CI gate, PR-ready trace artifacts, and autonomous long-horizon supervision
Complete WASM toolkit for edge AI: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, and ONNX inference - all running in browser
[](https://www.npmjs.com/package/@aws-sdk/signature-v4-multi-region) [](https:/
Fastest, most accurate & effecient user agent string parser, uses Browserscope's research for parsing
MemOS Local memory plugin for OpenClaw — full-write, hybrid-recall, progressive retrieval
Agentf is a Ruby-native multi-agent workflow engine with an ORCHESTRATOR, role-specialized agents, provider adapters (OpenCode/Copilot), and Redis-backed semantic, episodic, and graph-style memory. It includes a unified CLI, MCP server tools, and install/update workflows for generated agent/command manifests.
Extends the brute gem with a declarative BPMN workflow engine for multi-agent orchestration — parallel branches, conditional routing, loops with timeouts, and pluggable service tasks.
Analogical reasoning engine (Gentner structure mapping, Hofstadter, Holyoak multi-constraint) for brain-modeled agentic AI
Systematic multi-viewpoint analysis engine for brain-modeled agentic AI — cycles through stakeholder, ethical, temporal, and other interpretive frames to generate richer situational understanding
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution
Multi-agent deliberation equipment with Pathos/Logos/Ethos weighting for consensus building in the Cocapn fleet. The Consensus Engine implements a sophisticated multi-agent deliberation framework based on the classical rhetorical tripartite of Pathos, Logos, and Ethos. This equipment enables AI systems to make well-rounded decisions by considering multiple perspectives before reaching consensus. ## The Tripartite Framework - **Pathos** (πάθος) - Appeals to emotion, intent, and human experience - **Logos** (λόγος) - Appeals to logic, reason, and rational argument - **Ethos** (ἦθος) - Appeals to ethics, credibility, and moral character
A comprehensive Ruby implementation of a Knowledge-Based System featuring: • RETE Algorithm: Optimized forward-chaining inference engine with unlinking optimization for high-performance pattern matching • Declarative DSL: Readable, expressive syntax for rule definition with built-in condition helpers • Blackboard Architecture: Multi-agent coordination with message passing and knowledge source registration • Flexible Persistence: SQLite (durable), Redis (fast), and hybrid storage backends with audit trails • Concurrent Execution: Thread-safe auto-inference mode for real-time processing • AI Integration: Native support for LLM integration (Ollama, OpenAI) for hybrid symbolic/neural reasoning • Production Features: Session management, fact history, query API, statistics tracking Perfect for expert systems, trading algorithms, IoT monitoring, portfolio management, and AI-enhanced decision systems.
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