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rightcommit vs Backloop

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

rightcommit compared with Backloop
Detailrightcommit logo rightcommitBackloop logo Backloop
What it doesAI agents say done. rightcommit proves it. Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelOpen source Freemium
PricingFree to self-host under FSL-1.1-ALv2. No license fee; pay only for AI model usage with your own accounts. 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
  • Visual workflow canvas with drag-and-drop design
  • Project Manager assistant that converts goals into workflows
  • Automatic tests and independent agent reviews before approval
  • Version control with SHA-256 fingerprints and line-by-line diffs
  • Cost breakdown by step, agent, model and run
  • Integrations with GitHub, Azure DevOps, ServiceNow, Jira and Confluence
  • MCP and A2A support for custom tools and agent-to-agent workflows
  • Configurable autonomy from interactive to fully unattended
  • Encrypted credential storage with keys never sent to browser
  • 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
  • Code and credentials stay on your servers, never sent to AI agents
  • Independent reviews by second agent before any approval
  • No automatic code pushes or deployments without your confirmation
  • Transparent per-step cost tracking with input/output tokens and reasoning costs
  • Fair Source license allows professional services for clients
  • 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

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