Professor de Engenharia de Software no VSCode — /la-explain, /la-review, /la-file
Initial React package scaffold for launching the Learning Agent user experience.
Initial React package scaffold for the Learning Agent user experience.
AI-powered academic paper learning agent — analyze papers with Feynman, Simon, and First Principles methods
AI-powered academic paper learning agent — analyze papers with Feynman, Simon, and First Principles methods
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
unfirehose/1.0 — schema specification for machine learning agent session logging across coding harnesses
Copilot Personal Learning Agent - Secure, private AI self-awareness. Part of the Agent-OS ecosystem.
Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
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
Turn a function into an `http.Agent` instance
Letta Code is a CLI tool for interacting with stateful Letta agents from the terminal.
An HTTP(s) proxy `http.Agent` implementation for HTTPS
Maps proxy protocols to `http.Agent` implementations
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-node) [](https://www.npmjs.com/
[](https://www.npmjs.com/package/@aws-sdk/middleware-user-agent) [](https://www.npmjs.c
Get a user agent string across all JavaScript Runtime Environments
An HTTP(s) proxy `http.Agent` implementation for HTTP
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-browser) [](https://www.n
A SOCKS proxy `http.Agent` implementation for HTTP and HTTPS
HTTP proxy tunneling agent. Formerly part of mikeal/request, now a standalone module.
the http/https agent used by the npm cli
A PAC file proxy `http.Agent` implementation for HTTP
LEX agentic learning domain: adaptation, memory consolidation, skill acquisition
Provides RobotLab::Durable — a YAML-backed knowledge store that lets robot_lab agents accumulate and recall observations across sessions. Includes Entry (immutable value object with confidence scoring), Store (file-locked per-domain persistence), Reflector (end-of-session promoter), and the Learning mixin with RecallKnowledge/RecordKnowledge tools that integrate directly into Robot when robot_lab is present.
The Huginn Naive Bayes agent uses some incoming Events as a training set for Naive Bayes Machine Learning. Then it classifies Events from other sources accordingly using tags. Acts as a Huginn Agent front end to the NBayes gem (https://github.com/oasic/nbayes).
A coding agent that learns from its own performance using GEPA prompt optimization running in the background.
Adapts the agent learning speed per domain based on prediction accuracy, surprise, and errors. Fast learning when predictions fail, slow consolidation when accurate — the agent learns how fast to learn.
Magos is a framework for building AI agents in Ruby. It provides a set of tools for building agents that can learn and improve over time.
Meta-learning engine for brain-modeled agentic AI — tracks learning efficiency, adapts learning rates, and selects strategies based on past performance
Learns and models preferences from choices and feedback for brain-modeled agentic AI
IMMUNIO protects your web app from security vulnerabilities by monitoring requests in realtime. After a two minute installation, your application will be protected from many of the top classes of attacks, including Cross-Site Scripting (XSS), SQL Injection, Remote Command Execution, and Bruteforce. This agent gem works in conjunction with the IMMUNIO service. Go to https://immun.io to learn more and create an account.
Mirror neuron system for brain-modeled agentic AI — automatic behavioral observation, imitation learning with fidelity tracking, and empathic resonance from watching other agents act.
Adaptive Resonance Theory for brain-modeled agentic AI — bidirectional resonance cycle with vigilance-controlled category learning
Collins' Cognitive Apprenticeship model for brain-modeled agentic AI: guided learning through modeling, coaching, scaffolding, articulation, reflection, and exploration
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