01
Agent identity
Define durable roles such as architect, developer, manager, or verifier with their own model and behavior.
Multi-Agent Operating System
The desktop operating system for multi-agent workflows.
The Zeroth lets you design agent presets, wire them into visual blueprints, launch runs inside any local workspace, and observe or redirect every agent while the workflow is alive.
PresetGraphRuntimeObserve
No YAML ceremony. Add nodes, connect edges, and turn reusable agent roles into an executable graph.
Preset
Prompts, models, tools, MCP and skills are reusable agent assets.
Graph
Node and edge blueprints define how agents hand work to each other.
Runtime
Orchestration tools can reshape flow and launch parallel work while running.
Observe
Messages, context, tool calls, and human interventions stay visible.
Agent Presets
A geek-grade agent preset repository, not a pile of prompts.
Every agent can carry its own identity, model configuration, mounted profiles, allowed MCP servers, exposed tools, and runtime skills. That is the base layer for serious multi-agent composition.
02
Long-form cognition
Mount reusable profile documents and skill packages instead of stuffing everything into one fragile system prompt.
03
Tool and MCP surface
Attach MCP servers and expose only the capabilities a given agent should actually use.
Blueprint Builder
Blueprint Builder makes multi-agent workflow design visible.
Create nodes, bind each node to an agent preset, then draw the edges that decide how work moves. The graph is the product surface, not an afterthought hidden in config files.
- 1Nodes map to concrete agent presets.
- 2Edges describe routing, handoff and execution order.
- 3The same blueprint can be launched from different local workspaces.
Runtime Orchestration
The workflow is still editable after it starts thinking.
The built-in orchestration tools let agents hand off state, update plans, change execution shape, and spawn parallel subtasks during the run. This is where most toy agent builders collapse.
Structured handoff
Agents pass objective, completed actions, blockers, next assignee, and expected output as explicit state.
Live task board
Parallel work becomes inspectable task state instead of disappearing into a black-box chain.
Observation
Observation is the control plane.
During execution, you can inspect conversations, prompt composition, mounted context, tool calls, and intermediate outputs. You can also step in and talk to any agent when the direction needs correction.
Real-time agent-to-agent communication
Per-agent context and mounted resources
Tool call visibility without hidden execution
Human intervention at the exact point of failure
Start designing Multi-Agents.
The Zeroth is built for people who want to design, run, observe, and evolve real multi-agent systems from their own desktop.