foreman vs Poolside AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-22
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At a glance

DimensionforemanPoolside AI
PricingFree (open-source)Contact for pricing (enterprise)
DeploymentLocal CLI (requires Claude CLI + Git)On-prem, VPC, or workstation (defense only)
Model SupportClaude Code only (via Claude CLI)Own Laguna XS.2 (33B) and M.1 (225B)
GovernanceGated pipeline, hash-sealed approvals, cost budgetsRBAC, audit trails, executive governance
Context LengthLimited by Claude Code's context256K tokens (Laguna models)
Best ForIndividual devs & small teams using Claude CodeLarge enterprises in regulated industries

If you're an individual developer or small team already using Claude Code and want structured workflow governance, Foreman is free and powerful. For regulated enterprises needing custom on‑prem models, multi‑agent orchestration, and 256K context, Poolside AI is the right choice despite higher cost and vendor engagement.

foreman
foreman

An MIT-licensed orchestrator TUI that supervises headless Claude Code agents through a gated plan → ADR/PRD → issues → TDD → e2e delivery pipeline

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Poolside AI
Poolside AI

Poolside builds open-weight agentic coding models — Laguna XS 2.1 (33B) and Laguna S 2.1 (118B) — for code that stays inside your security

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Pricing
Free
Contact Sales
Plans
$0
—
Popularity
13 views
7.2k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLI
DesktopCLIAPIPlugin
Categories
🛠️ Autonomous Coding Agents🛡️ AI Governance & Guardrails
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Supervises headless Claude Code agents from a keyboard-driven Textual TUI
Gated pipeline: plan → ADR/PRD → issues → TDD build → e2e
Human-in-the-loop review gates on every design phase
Hash-sealed approvals that auto-revert if a design doc changes
Per-run turn, cost, and time budgets enforced by the orchestrator
Daily cost ceiling with a hard stop
PreToolUse deny hook blocks workers from writing their own verification
Worktree isolation for parallel workers, gated by a declared touches set
Crash-safe state as human-readable committed files — no database
Demo mode runs the full pipeline on a mocked backend at zero token cost
Evals flywheel: outcome-labelled runs, foreman retro clusters failures into gated patches
foreman bench replays the eval set and reports success-rate, cost, and turn deltas
Vendored foreman-* skills installed into .claude/skills/ by foreman init
YAML configuration via config.sample.yaml
CLI commands: foreman init, build, status, retro, bench
Laguna S 2.1 open-weight model: 118B params, 8B active, 1M context
Laguna XS 2.1 open-weight model: 33B params, 3B active, 256K context
Laguna XS 2.1 sized small enough to run on-device
Laguna S 2.1 positioned for frontier-class reasoning at mid-size cost
Single-agent and multi-agent orchestration for coding tasks
Sandboxed execution environments so agent code stays off production
Desktop app for agentic coding sessions with model selection and tool grouping
CLI agent client with slash commands and keyboard shortcuts
VS Code and Visual Studio extensions
Always-ask approval mode before edits are accepted
Data connectors to repositories, databases, and warehouses
Role-based access control for human users and agents
End-to-end trace observability for agent runs
Projects and multi-conversation management inside the client
Custom fine-tuning and Forward Deployed Research Engineers
Integrations
Claude Code
git
OpenRouter
Vercel AI Gateway

What real users say: foreman vs Poolside AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

foreman

63 mentions across 5 sources · 35% positive — critical (weighted across 5 sources)

Hacker News, YouTube, Product Hunt, GitHub, Lemmy

What users praise

  • • Gated plan → ADR/PRD → issues → TDD → e2e pipeline enforces process rather than trusting agent behaviour
  • • Hash-sealed approvals auto-revert if a design document changes underneath them — a genuinely novel safeguard
  • • Per-run turn, cost, and time budgets plus a daily hard ceiling put hard stops on runaway spend
  • • PreToolUse deny hook stops workers from writing their own verification — closes an obvious cheating loophole

What frustrates them

  • • Essentially no independent community feedback — one HN post, no reviews, no issue tracker evidence
  • • Linux/WSL2-only with Python 3.11+ and authenticated claude CLI — macOS and Windows users excluded
  • • Tightly coupled to Claude Code; no support for other agent CLIs or local models
  • • The fixed TDD-centric pipeline will clash with teams that don't practice TDD

Researched Oct 16, 2026

Poolside AI

40 mentions across 4 sources · 48% positive — mixed (averaged across 4 sources)

Hacker News, YouTube, Bluesky, Lemmy

What users praise

  • • Open-weight models with strong SWE-bench scores (72.5%).
  • • On-prem, VPC, and air-gapped deployment for high security.
  • • 256K context length supports long-horizon reasoning tasks.
  • • Multi-agent orchestration with sandboxed execution environments.

What frustrates them

  • • Community feedback is scarce; limited real-world user reviews.
  • • Platform is still in research preview as of April 2026.
  • • Pricing is opaque; only 'contact us' with no published tiers.
  • • Trademark dispute with Poolside FM creates name confusion.

Researched Jul 17, 2026

Who should pick which

  • Solo founder using Claude Code
    Pick: foreman

    Foreman is free, open‑source, and adds structured gated workflows on top of Claude Code without extra cost.

  • Fintech enterprise needing air‑gapped AI
    Pick: Poolside AI

    Poolside deploys inside security boundaries (on‑prem/VPC) with 256K context and audit governance required for regulated industries.

  • Open‑source maintainer automating PRs
    Pick: foreman

    Foreman's hash‑sealed approvals and cost caps make it ideal for open‑source repos with budget constraints.

  • Defense contractor needing workstation deployment
    Pick: Poolside AI

    Poolside explicitly supports workstation deployment for defense, plus custom models and RBAC.

  • Small team wanting quick code generation
    Pick: foreman

    Foreman is free and easy to set up with existing Claude CLI; no vendor engagement needed.

Frequently Asked Questions

foreman vs Poolside AI: which should you choose?

If you're an individual developer or small team already using Claude Code and want structured workflow governance, Foreman is free and powerful. For regulated enterprises needing custom on‑prem models, multi‑agent orchestration, and 256K context, Poolside AI is the right choice despite higher cost and vendor engagement.

Can Foreman work with models other than Claude?

No, Foreman specifically supervises Claude Code agents via the Claude CLI. It does not support other models.

Does Poolside AI offer a free trial?

No. Poolside AI requires contacting sales for pricing and access. It is enterprise‑only.

Is Foreman cloud‑hosted?

No, Foreman runs locally as a terminal UI. It does not provide a cloud service.

What context length do Poolside models support?

As of May 2026, both Laguna XS.2 and M.1 support up to 256K tokens of context.

Can I use Foreman without an internet connection?

Partially. Foreman itself runs locally, but the underlying Claude Code agents require internet access to call the Anthropic API.

Does Poolside AI support multi‑agent orchestration?

Yes, the Poolside Platform includes multi‑agent orchestration with planning and tool use.

What is the main difference in governance?

Foreman uses hash‑sealed approvals and per‑run budgets; Poolside provides RBAC, audit trails, and executive governance suitable for regulated environments.

Which tool is better for long‑horizon multi‑step tasks?

Poolside AI, with its 256K context and planning capabilities, is designed for long‑horizon tasks. Foreman's context is limited by Claude Code's window.

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Last reviewed: July 1, 2026