AIA is a revolutionary CLI console application that brings multi-model AI capabilities to your command line, supporting 20+ providers including OpenAI, Anthropic, and Google. Run multiple AI models simultaneously for comparison, get consensus responses from collaborative AI teams, or compare individual outputs side-by-side. With dynamic prompt management, embedded directives, shell and Ruby integration, interactive chats, and comprehensive history tracking, AIA transforms how you interact with AI. Perfect for developers and AI enthusiasts who want to harness the collective intelligence of multiple AI models from a single, powerful interface.

FactDb implements the Event Clock concept - capturing organizational reasoning through temporal facts with validity periods (valid_at/invalid_at), entity resolution, and audit trails back to source content. Built on PostgreSQL with pgvector support for semantic search.

HTM (Hierarchical Temporal Memory) provides intelligent memory/context management for LLM-based applications. It implements a two-tier memory system with durable long-term storage (PostgreSQL) and token-limited working memory, enabling applications to recall context from past conversations using RAG (Retrieval-Augmented Generation) techniques.

RobotLab is a Ruby framework for building and orchestrating multi-robot LLM workflows. Built on ruby_llm, it provides robots with template-based prompts, tools, and shared memory; networks for coordinating multiple robots with intelligent routing; MCP (Model Context Protocol) integration for external tool servers; and a memory system with Redis backend and semantic caching. Optional gems add Rails integration (robot_lab-rails), durable learning (robot_lab-durable), Ractor concurrency (robot_lab-ractor), document storage (robot_lab-document_store), and OS-level skill-script confinement (robot_lab-sandbox). Core itself imposes no execution limitations.

Standalone background daemon that watches a repo's git activity, Claude Code session transcripts, and terminal commands, then infers the current goal/direction via a one-shot RubyLLM call to a local model. Writes an intent artifact any tool can read — robot_lab-to uses it to seed takeover runs, but nothing here requires RobotLab.

robot_lab-to ("takeover") runs a robot_lab Robot in an autonomous loop, committing one focused change per iteration toward a stated objective. Each iteration the robot reads shared notes (notes.md), does work, then calls submit_iteration_result to report success or failure. The orchestrator commits good iterations, rolls back failures, and appends to the notes log for cross-iteration memory. Stop conditions include max iterations, max tokens, consecutive failure threshold, and a natural- language --stop-when condition. Runs overnight; review the branch in the morning.

runsheets turns a directory of markdown files into an executable runbook served from a local web page. Fenced code blocks the author marks as runnable get a Run button; every execution, its output, exit status and timing, and every operator acknowledgement is captured in order into a run record (the runsheet). The tool binds to loopback only, executes only blocks that opt in, and modifies nothing in the runbook directory.

An SQA-specific Fiddle binding directly against the installed TA-Lib C library, providing many technical analysis indicators for stock analysis. Part of the SQA (Simple Qualitative Analysis) ecosystem.

under development