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Oynix vs Aguru

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 Aguru
DetailOynix logo OynixAguru logo Aguru
What it doesMemory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Contact for pricing
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
  • Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
  • Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
  • Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
  • Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
  • Small focused AI models in deterministic graph: reduces errors and cost vs single large models
  • Fully auditable and explainable execution
  • Durable execution engine with checkpoints and automated recovery
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
  • Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
  • Partners keep control of brand and customer relationships while using platform for execution
  • Usage-based pricing aligns fees with completed outcomes rather than features
  • Small focused AI models designed for accuracy and repeatability in high-trust workflows
  • Includes mapping stage to validate commercial viability before significant investment
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check12 no change since last check
Trust Flow (Majestic)08
Citation Flow (Majestic)2629
Referring domains (Majestic)2264

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