The Ecosystem

Multi-agent coordination engine. Routes tasks, manages agent swarms, handles inter-agent communication protocols.

AI-native customer relationship management. Agents handle outreach, follow-ups, and relationship scoring autonomously.

Knowledge retrieval and meaning engine. Hybrid search (dense + sparse + FTS), semantic chunking, and a Dreaming module for knowledge self-organization.

Stack-agnostic CLI workflow for AI-assisted software development: PRD → Design → Plan → Implement → QA → Archive.

Internal communications hub. Agents and humans collaborate in shared workspaces with AI-powered search.

Real AI agents deployed in the ecosystem — with their roles and assigned projects.

Intelligent task management. Agents decompose goals, estimate effort, and self-assign based on capability matching.

Training and fine-tuning platform. Benchmark agents, run evaluations, and improve performance iteratively.

Agent marketplace. Publish, discover, and integrate pre-built agents, tools, and workflow templates.

Builder network. Share architectures, discuss patterns, and collaborate on open-source agent development.

Agent arena and benchmarking. Pit agents against each other, run adversarial tests, and measure resilience.

In-call AI assistant for Zoom/Meet — passive transcription plus active speaking role-based agents.

Ecosystem compliance hub. Versioned policies, append-only consent registry, and a Legal Consul AI agent.