Campfire vs CleanSlop: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Campfire and CleanSlop — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Campfire

Boring Infra Co.

Free

Shared workspace where humans and coding agents like Codex and Claude Code share goals, context, decisions and results.

Shared workspaces: One place where team members and agents see goals, changes, findings and decisions.
Goal-first workflow: Start with a goal instead of designing an orchestration graph.
Persistent sessions: Agent work survives session end so the next agent does not start from an empty prompt.
Decision recording: Humans change the plan in the open and agents pick up the decision.
Scoped capabilities: Define what each agent can read, edit or run, withholding credentials and the rest of the repo.
Work history: Traces who did what, from which agent session, and why.
Bring your own agents: Works alongside Codex, Claude Code, OpenCode or custom agents.
CLI install: Single curl install command with docs and GitHub source.

Engineering team coordinates several people each running their own coding agent on one feature.
Reviewer agent logs findings that the implementing agent and humans can act on.
Developer closes a terminal and later resumes with goal, decisions and remaining work intact.
Team lead gives an agent limited access to specific directories and test commands.
Engineer audits which agent session produced a change and the decision behind it.

Freemium

Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.

Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
GitHub App Integration: Scan only the repositories you select, read-only access.
Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.

A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
A side-project builder verifies that one user's data cannot be read by another through database policies.
A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
A team lead gets a short prioritized list instead of hundreds of linter warnings.
An indie hacker books an expert triage call to confirm an ambiguous finding.