Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

Self-hosted homelab log intelligence over MCP, CLI, and REST with SQLite/FTS.

A self-hosted RSS reader and personal knowledge management tool.

Self-hosted media fleet operations across Sonarr, Radarr, Plex, and related apps over MCP and CLI.

Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

Self-Hosted API Management for Builders

Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.

Selfhosted notes app. Single golang binary, notes stored as markdown within SQLite, full-text search, very low resource usage

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness.

Hosted Google Calendar MCP server for AI agents. No self-hosting or Google Cloud setup.

Where specs become law. A self-contained MCP suite that turns any repo into a spec-driven, agent-ready project: its own constitution (foundation), its own local code graph (Compass), its own spec-driven workflow (Lawbook), and opt-in skill packs (Tools).

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

Enterprise AI bastion host for secure AI API and MCP access, with unified proxying, RBAC, audit logs, rate limiting, and cost tracking across OpenAI, Anthropic, Gemini, and self-hosted LLMs.

Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.

A persistent AI self you own — memory, persona, judgment — portable across all your AI hosts.