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Oynix vs DocuSOR

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

Oynix compared with DocuSOR
DetailOynix logo OynixDocuSOR logo DocuSOR
What it doesMemory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph Context gateway that gives coding agents verified codebase knowledge to skip rediscovery and work faster
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelFreemium Freemium
PricingLocal: 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. Standard: Usage-based pricing with 25 free credits at signup, unlimited repos and run minutes. Enterprise: Outcome-based pricing with all Standard features plus self-hosted licensing, SSO/SAML, audit logs, private runners, and advanced support.
Key features
  • 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
  • Verified context injection for coding agents
  • Automatic repository baseline generation and validation
  • Genome context graph showing dependencies and risk
  • DocuSOR MCP for agent context access
  • Pull request status checks and gating
  • Documentation claim testing for README and runbooks
  • Isolated cloud sandbox for validation runs
  • GitHub App integration with read-only repository access
  • SOC 2 Type 1 compliance
  • TLS encryption in transit and at-rest data protection
What makes it different
  • 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
  • 77% faster agent execution compared to manual repository exploration
  • Up to 64% lower token costs measured on Claude Opus 5.5
  • 100% deterministic validation without LLM/RAG dependencies
  • Automatic context sharing across all agents via MCP
  • Works with any coding agent through standard MCP protocol
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check5 no change since last check
Trust Flow (Majestic)04
Citation Flow (Majestic)2617
Referring domains (Majestic)229

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