Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.

Continuous learning for engineers

Continuous learning for engineers

Enterprise-grade MCP server for Claude Code CLI with 6,200+ spike templates, 86 library specs, intelligent memory engine, and continuous learning capabilities.

AI-powered self-learning optimization system with swarm intelligence, PSO, NSGA-II, evolutionary algorithms for autonomous robotics, multi-agent systems, and continuous learning

A Pi extension that observes coding sessions and distills patterns into reusable instincts.

Continuous learning MCP server for Claude Code — observe patterns, reflect on them, evolve your workflow

TLNT - HMS-Powered Multi-Agent Platform with Government Agency Analysis, Deep Research, and Enterprise-Ready Deployment. Self-optimizing multi-domain AI agent with continuous learning and enterprise-grade performance monitoring.

OpenCode plugin that observes session events and captures patterns for continuous learning

Interaction signal collection, reputation scoring, and reward derivation for continuous learning

Append-only project-local learning ledger for Pi with two separate trust gates: manual human approval, and a bounded auto-safe machine gate that is on by default in Pi-trusted projects. Selective fork of Matt Devy's pi-continuous-learning.

A simple Node.js wrapper for Watson ML scoring and continuous learning feedback entry and evaluation

Continuous learning for Kiro agent sessions on AWS. Passive tool-use capture, LLM extraction, and synchronous context injection — inspired by claude-mem, aligned with Bedrock AgentCore Memory.

System 1 relay for LLM apps — sub-millisecond intent classification, safety gating, tool selection. CPU-only, continuous learning from corrections.

System 1 relay for LLM apps — sub-millisecond intent classification, safety gating, tool selection. CPU-only, continuous learning from corrections.

Infinite Evolution AI System: 28+ dynamic agents, continuous learning, self-improving workflows, and AI DEV SUPERPOWERS - Runs forever, creates new agents automatically

System 1 relay for LLM apps — sub-millisecond intent classification, safety gating, tool selection. CPU-only, continuous learning from corrections.

Node module that contains common functionality needed to appcenter-* modules

Encodings that map abstract data to visual representation.

System 1 relay for LLM apps — sub-millisecond intent classification, safety gating, tool selection. CPU-only, continuous learning from corrections.