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rostr vs Oynix

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

rostr compared with Oynix
Detailrostr logo rostrOynix logo Oynix
What it doesGive your coding agents names so you remember who's doing what 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 inUS Not given
Pricing modelFree Freemium
PricingNot given 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
  • Assigns unique names to agent sessions from customizable rosters
  • Integrates with Claude Code, Codex, tmux, and herdr
  • Pre-built rosters including Lord of the Rings, Harry Potter, NBA Legends, and more
  • End-to-end encrypted cloud storage for cross-machine sessions
  • API endpoint for building custom dashboards and integrations
  • 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
  • Notifications and messages from agents are instantly traceable by their assigned names
  • Works across multiple machines and cloud environments with optional end-to-end encryption
  • Playful roster themes encourage restraint in spinning up too many concurrent agent sessions
  • 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)1 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)026
Referring domains (Majestic)022

4 details filled in for both companies.

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