Stage 1: Machina Core ✓
Local orchestrator, planning and execution modules, tool registry, session memory, action logs, multi-agent coordination, security foundation, and MCP protocol support. 2,148 tests across 60 sprints.
The Age of Neural-Native Computing
MachinaOS does not replace your kernel. It adds a higher semantic layer above the host OS where goals, plans, approvals, tools, and timelines are first-class runtime objects.
The Mission
Synchronize intent and execution
MachinaOS takes natural-language goals, normalizes them into structured plans, applies policy checks, executes approved steps through adapters, and returns auditable outcomes with full event traces.
Development Stages
Stage 2: Machina Shell ✓
Native desktop application (Windows/Linux/macOS), command palette, visual workflow studio, file explorer, process monitor, 16-panel interface, and system status bar — shipped in Sprint 38–60.
Stage 3: OS Layer
Background services, persistent policy engine, semantic file features, organization-wide observability, and shared agent mesh for team deployments.
Engineering Principles
Explicit tool boundaries
The model never pretends to act. Every operation is grounded in a real invocation and a structured response.
Deterministic logs
All meaningful actions are recorded so runs can be audited, explained, and reproduced. The immutable audit log uses SHA-256 hash chains to detect tampering.
Human approval for risk
Destructive or high-impact actions trigger policy checks and require explicit confirmation. Consensus workflows gate sensitive tool calls across multiple agents.
No AI theater
Avoid vague claims. Ship practical capabilities with clear constraints and reversible mutations.
Inspectability over opacity
Every plan, step, tool result, event, and agent message is accessible and searchable. Nothing useful happens invisibly.
Local-first by default
Plans, secrets, logs, agent definitions, and workflow chains all live on your machine. Cloud services are opt-in LLM providers, not infrastructure dependencies.
Origin Story
Built from a real engineering problem
MachinaOS started from a simple frustration: AI assistants that could talk about what they would do, but not actually do it in a governed, auditable way. Every early AI agent framework required writing orchestration glue code, managing prompt chains in Python, and accepting that the "execution" was largely model-generated text rather than real tool calls with real outputs.
The goal was a runtime layer — something that sat above the OS and treated intent, plans, approvals, and tool execution as first-class objects, with a native desktop shell and a human in the loop by design. After 80+ sprints and 2,700+ passing tests, that runtime exists. MachinaOS is the result.
Roadmap
v0.9 — Current
Full desktop application with 16 integrated views, Visual Workflow Studio, Security Center, 7 LLM providers, MCP Protocol Bridge, GitHub integration, and 35+ workflow templates.
Next — OS Layer
Background services, persistent policy engine running independently of the UI, semantic file system features, and shared agent mesh for small team deployments.
v1.0 — Public Launch
Production-grade release with verified external integrations, published pricing, open-source components, and official documentation. Sign up via the contact page to be notified.