SWARM TECHNICAL RESOURCES
Engineering Hubs & Research Notes
Real performance data, production playbooks, and systems architecture for autonomous AI coding agents — research tracks and specifications coming soon.
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Explore Dedicated Hubs
Select a specialized knowledge hub for empirical telemetry, production playbooks, systems architecture, or objective comparisons.
Benchmarks & Telemetry
Empirical evaluations on verified hardware. Real token costs, peak RAM footprints, and 100-agent concurrency stress tests.
- 100-Agent Concurrency & Scheduling Latency
- Memory RSS & CPU Footprint Profiling
- Frontier Coding Model Cost Economics
Implementation Guides
Production playbooks for running autonomous swarms. Hard spend limits, recursive loop guards, and modest VPS setups.
- Hard Spend Ceilings & Loop Timeout Guards
- Running Swarms on a $10–20/mo Linux VPS
- Git Worktree Multi-Agent Isolation
Systems & Architecture
In-depth systems writeups from the team building Swarm. Worktree lineage engines, Go daemons, and failover post-mortems.
- Worktree Lineage Model & Parent Barriers
- Go Daemon Architecture & Client Convergence
- Production Resilience & Failover Retrospectives
Runtime Comparisons
Objective, evidence-based tradeoffs. Local-first vs cloud agents, partitioned swarms vs monolithic prompts, and model ROI.
- Local-First Runtimes vs. Cloud Agent Platforms
- Partitioned Swarms vs. Monolithic Prompts
- Git Worktrees vs. In-Place Workspace Editing
TECHNICAL DIRECTORY
All Research & Specifications
Direct benchmark suites, operational playbooks, systems architecture writeups, and runtime comparisons.
Progressive Concurrency & Resource Scaling: The Century Run
Empirical progressive scaling across 5 concurrency tiers, sub-linear RAM efficiency, and zero database lock contention.
Multi-Model Coding Swarm: AST Verification Across Frontier Models
Code generation accuracy, AST verification, and multi-file refactoring compared across frontier models (Part 2).
Git Worktree DAG Scaling: Concurrent Sparse Merges
Sibling branch conflict resolution and zero-lock contention across concurrent isolated worktrees (Part 3).
Distributed & Remote Runner Topologies: Edge Host Orchestration
Scaling autonomous agent execution across remote isolated sandboxes and edge bare-metal nodes (Part 4).
Runaway Agent Cost & Loop Prevention
Production playbooks for hard spend ceilings, token caps, runtime timeouts, and recursive loop circuit-breakers before running unattended autonomous swarms.
The Worktree Lineage Model
How Swarm prevents repository race conditions by isolating subagents in dedicated git worktrees with strict parent verification barriers.
Local-First Runtimes vs. Cloud Agent Platforms
An objective engineering comparison of local-first agent runtimes versus centralized cloud SaaS platforms across latency, privacy, tooling, and cost.
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