Hivemind
Hivemind is a local-first, observable orchestration system for agentic software development.
It is designed to make parallel AI agent work on real codebases safe, legible, and governable — without hiding complexity or surrendering human control.
Hivemind is not an AI that codes.
It is a system that makes agentic work real.
Everything observable. Everything deterministic. Everything reversible.
Why Hivemind Exists
AI coding agents are increasingly capable — but existing tools suffer from:
- Opaque execution
- Poor failure handling
- Unsafe parallelism
- Unclear attribution of changes
- Limited undo and recovery
When something goes wrong, developers are left guessing.
Hivemind treats agentic work as engineering work, deserving of:
- explicit planning
- deterministic structure
- observable execution
- auditable outcomes
- human authority at critical boundaries
Core Principles
Hivemind is built on a small set of non-negotiable principles:
- Observability is truth
- Structure enables scale
- Failures are first-class outcomes
- Humans decide what ships
- Runtimes are replaceable
- No magic. Everything has a reason and a trail
These principles are enforced through architecture, not convention.
What Hivemind Provides
- Projects spanning one or more repositories
- Tasks and simple todos
- Deterministic TaskGraphs (planning)
- Executable TaskFlows (execution)
- Scoped, parallel agent execution
- Explicit verification and retries
- Full diff, commit, and event history
- CLI-first interface (UI is a projection)
Everything runs locally.
Documentation Map
Start here:
docs/overview/ ├── quickstart.md # How to run Hivemind end-to-end (Humans + LLM operators) ├── vision.md # Why Hivemind exists ├── principles.md # Design doctrine └── prd.md # Product guarantees
Then continue to:
docs/architecture/ # System shape & invariants docs/design/ # Concrete mechanics & semantics
Archived internal build-focused docs are preserved under:
ops/archive/docs-build-guides-2026-02-14/
Project Status
Hivemind is under active development.
The architecture and design are intentionally documented before heavy implementation to avoid ambiguity, hidden assumptions, and unsafe shortcuts.
Philosophy
Agents execute.
Systems govern.
Humans decide.
If that resonates with you, you’re in the right place.