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Oynix vs wshapnin

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 wshapnin
DetailOynix logo Oynix wshapnin
What it doesMemory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph See which release made your API slower
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Not given
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. Not given
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
  • Measures latency per endpoint and code block within each version
  • Compares performance across releases automatically
  • Flags performance degradations every minute
  • Minimal instrumentation overhead of about one microsecond per call
  • Supports Python, TypeScript, JavaScript, and Go
  • Works with Express and Fastify frameworks
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
  • Breaks down latency to individual code blocks, not just endpoints
  • Automatically marks releases and compares metrics against baseline
  • Requires minimal setup with negligible performance impact
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)260
Referring domains (Majestic)220

3 details filled in for both companies.

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