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dibs vs Backloop

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

dibs compared with Backloop
Detail dibsBackloop logo Backloop
What it doesAir traffic control for your coding agents Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
StageStartup Not given
FoundedNot given Not given
Based inNot given US
Pricing modelOpen source Freemium
PricingNot given Open source: free. Team: $199/month with 14-day free trial (1 API or MCP service, 25,000 reports/month, 15 coding-agent runs/month). Business: $799/month (up to 3 services, 250,000 reports/month, 60 coding-agent runs/month). Extra coding-agent runs: $6 each.
Key features
  • Task queuing with dibs run wrapping commands
  • Real-time job status board for all agents
  • Memory and disk resource monitoring
  • Agent-to-agent messaging with dibs tell and dibs say
  • Human approval workflow for irreversible actions
  • Browser access via end-to-end encrypted relay at app.dibs.cc
  • MCP client support for Claude with read-only or action modes
  • Multi-machine job distribution with --anywhere flag
  • Job scheduling at specific times with dibs later
  • API rate limit sharing with quota buckets
  • Session replay for MCP servers to identify failed agent sessions
  • Clustering reports by agent goals and workflows
  • Priority ranking weighted by frequency, failed workflows, and affected accounts
  • Claude Code generates pull requests with tests
  • Review queue with diff, tests, agent reports, and evidence
  • Isolated git worktree prevents unauthorized code push
  • Schema validation and rate limiting for feedback
  • Open Agent Feedback Protocol with TypeScript and Python SDKs
  • GitHub integration for draft PR creation
What makes it different
  • Prevents agent collisions with deterministic turn-taking on shared resources
  • Automatically manages machine memory and disk to keep builds running
  • Agents communicate peer-to-peer while humans only handle critical decisions
  • Fully open source with no per-seat or subscription fees
  • Works across multiple machines with a single encrypted board
  • Only AI agent failures on successful HTTP responses get detected and ranked
  • Automated pull request drafts with your approval required before shipping
  • Session replay captures failures even when agents don't report them
  • Pay only for coding-agent runs, not feedback submission
  • Open protocol and SDKs can be self-hosted at no cost
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check1 no change since last check
Trust Flow (Majestic)01
Citation Flow (Majestic)014
Referring domains (Majestic)04

4 details filled in for both companies.

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