BAGSTOWN

ORCHESTRATE • ACCUMULATE • DOMINATE

The next evolution in AI agent orchestration. Built for those who refuse to wait for the future. We are building it now.

WHAT THE HECK IS BAGSTOWN?

BAGSTOWN is a revolutionary take on AI agent orchestration for 2026. While everyone else is chasing the 2025 CLI form factor, copying each other like an embarrassing little kid's soccer team, we're building what's next.

The industry predicted someone would lash the AI agents together into chariots. We did exactly that. BAGSTOWN lets you orchestrate 20-30 agents at once, productively, on a sustained basis.

Think Kubernetes meets Temporal, but for AI agents. It's opinionated. It's complicated. But it works. BAGSTOWN solves problems that make LLMs fail after a few hundred steps — we handle them in minutes.

30+
Parallel Agents
1M+
Steps Handled
v4
Iteration
Potential
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THE EVOLUTION

We've been on this journey since the beginning. From zero AI assistance to orchestrating entire development teams of AI agents. Most developers are still at Stage 1-4. We're building for Stage 7 and beyond.

Stage 1: Zero or Near-Zero AI — maybe code completions
Stage 2: Coding agent in IDE, permissions turned on
Stage 3: Agent in IDE, YOLO mode — trust goes up
Stage 4: In IDE, wide agent — code is just for diffs
Stage 5: CLI, single agent. YOLO. Diffs scroll by.
Stage 6: CLI, multi-agent, YOLO. 3 to 5 parallel instances.
Stage 7: BAGSTOWN — Full orchestration. 20-30 agents. The future.

bagstown-cli v0.4.2

$ bagstown init @BAGSApp

✓ Initializing BAGSTOWN orchestrator...

✓ Creating workspace: @BAGSApp

✓ Setting up agent pool (default: 10)

✓ Configuring merge queue

Ready. Run 'bagstown start' to begin.


$ bagstown spawn --count 20 --task "refactor auth module"

✓ Spawning 20 agents...

Agent-001: Analyzing codebase structure

Agent-002: Mapping auth dependencies

Agent-003: Identifying refactor targets

...

✓ All agents active. Monitoring via 'bagstown status'


$ bagstown status

┌─────────────────────────────────────┐

│ BAGSTOWN ORCHESTRATOR v0.4.2 │

├─────────────────────────────────────┤

│ Active Agents: 20/30 │

│ Tasks Completed: 147 │

│ Merge Queue: 12 pending │

│ Quality Gates: ALL PASSING │

│ Uptime: 4h 23m │

└─────────────────────────────────────┘

CORE CONCEPTS

Wisps: Lightweight agent instances that execute specific tasks. Think of them as ephemeral workers that spawn, execute, and dissolve.

Merge Queue: Intelligent conflict resolution system that handles concurrent changes from multiple agents without human intervention.

Quality Gates: Automated checkpoints ensuring agent output meets defined standards before integration. Plugins available.

Supervisors: Meta-agents that oversee worker agents, handling task distribution, conflict resolution, and resource allocation.

bagstown.config.yaml

orchestrator:

name: "@BAGSApp"

version: "0.4.2"


agents:

pool_size: 30

supervisor_ratio: 0.1

model: "claude-opus-4-5"


merge_queue:

strategy: "intelligent"

conflict_resolution: "auto"

max_pending: 50


quality_gates:

- lint

- test

- security_scan

- performance_check

THE RECEIPTS

We don't just talk. We ship. Here's the evidence trail for those who need to see it to believe it.

📊 MAKER Benchmark Solved

Verified: January 2026

The 20-disc Tower of Hanoi problem — a million-step sequence that LLMs traditionally fail after a few hundred steps. BAGSTOWN handled it with a generated wisp formula. 10-disc variant completed in minutes.

Benchmark

🔄 Fourth Iteration

Development Timeline: Aug 2025 - Present

v1 failed. v2 failed but gave us Beads. v3 (Python) lasted 6-8 weeks. v4 (Go) is the culmination — built from hard lessons. This is what real development looks like.

Development

🎤 Public Predictions

March 2025: "Revenge of the Junior Developer"

Predicted the need for agent orchestration publicly. Spoke at events, told senior folks at major companies. Nobody built it. So we did.

Vision

⚡ 30 Parallel Agents

Sustained Operation Verified

Not 3-5 agents like Stage 6 users. 20-30 agents running concurrently, productively, with intelligent coordination. The merge queue prevents the chaos.

Performance

🧬 Beads: 225K Lines of Go

October 2025 - Tens of Thousands of Users

A byproduct of v2 development. 225,000 lines of Go code, 100% vibe coded, now used by tens of thousands daily. Proof that this methodology works.

Shipped

🏗️ K8s × Temporal Architecture

Architecture Documentation

The surprising convergence: despite radically different underpinnings, BAGSTOWN resembles both Kubernetes and Temporal. A self-sustaining machine with interconnected components.

Architecture

THE PATH FORWARD

Every milestone is a step toward the future of AI-assisted development. We're not waiting. We're building.

v1 - Initial Attempt

First orchestrator prototype. Failed but provided crucial learnings.

August 2025

v2 - Beads Emerges

Second attempt. Also failed, but produced Beads as a byproduct.

September 2025

v3 - Python BAGSTOWN

Full Python implementation. Lasted 6-8 weeks of productive use.

October 2025

v4 - Go BAGSTOWN

Complete rewrite in Go. Production-ready orchestration.

December 2025

Public Beta

Opening BAGSTOWN to early adopters. Stage 6+ developers only.

Q1 2026

Plugin Marketplace

Quality gates, integrations, and custom wisp templates.

Q2 2026

Enterprise Features

Team orchestration, audit logs, SSO, compliance tools.

Q3 2026