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Retrace vs Oynix

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

Retrace compared with Oynix
DetailRetrace logo RetraceOynix logo Oynix
What it doesThe execution replay engine for AI agents Memory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph
StageNot given Not given
FoundedNot given Not given
Based inIN Not given
Pricing modelFreemium Freemium
PricingFree plan includes 1,000 traces/mo and 7-day retention. Starter at $29/mo adds 10,000 traces/mo and 30-day retention. Pro at $99/mo includes 50,000 traces/mo, 90-day retention, and unlimited fork replays. Teams at $399/mo provides 500,000 traces/mo, 365-day retention, up to 10 users, and 1,000 prove Local: free forever. Local + Server plans: Solo $15/month for one key, Team $99/month for 10 keys or $459/month for 50 keys, Enterprise custom. All paid plans include 18 connectors, better embeddings and reasoning, Oynix Ask and Oynix Wiki.
Key features
  • Record every LLM call, tool call, and error with one decorator
  • Step-by-step replay of agent executions
  • Fork and cascade-replay from any failing step
  • Prove-the-fix verification before shipping
  • Runtime guardrails and circuit breakers
  • CI/CD regression gates
  • Multi-agent session tracking and topology graphs
  • Automatic hallucination and drift detection
  • Semantic search across agent runs
  • PII auto-redaction on every plan
  • Connects 18 sources: GitHub, GitLab, Bitbucket, Slack, Microsoft Teams, Jira, Linear, Sentry, Confluence, Notion, Google Drive, Microsoft 365, Mixpanel, CleverTap, Firebase, Supabase, and custom file
  • Builds live knowledge graph from code, tickets, docs and conversations
  • MCP server integration with Claude, Cursor, Codex and 13+ agents
  • Oynix Wiki: automatically generated engineering handbook with every claim traced to source
  • Oynix Ask: query the graph and get exact nodes with source attribution
  • Live presence: see who is editing in your codebase right now before your agent collides with their work
  • No per-token, per-file, per-function or per-repository billing; pricing by seats only
What makes it different
  • Turns production failures into regression tests that fail builds when behavior breaks
  • Runs entirely on your machine with no code uploaded to external servers, unlike vector search tools
  • Returns exact graph nodes and paths instead of text chunks, with reasoning about who owns what and why it exists
  • No per-token billing; your AI provider bills you for its own usage on your own key
  • Memory stays and improves after each session, not lost between conversations like stateless agents
Community votes00
DR (Domain Rating by Ahrefs)6 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)200
Citation Flow (Majestic)2526
Referring domains (Majestic)11522

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