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Oynix vs Tare

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 Tare
DetailOynix logo OynixTare logo Tare
What it doesMemory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph See where your AI coding agent's tokens go, cut the waste without breaking the prompt cache, and get a receipt for every saving
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
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. Free for open source (Wrapped, all fixes with undo, receipt, skill, plugin, MCP server). Team: $30 per developer, or 10% of verified savings, whichever is lower (spend by engineer, cost per merged PR, CI gate). Enterprise: contact for self-hosted, SSO, finance exports, procurement-grade reports.
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
  • Session log analysis with token pricing breakdown
  • Categorized spending attribution by startup context, tool output, sub-agents, and cache rebuilds
  • Safe automatic fixes for output trimming and cache countdown
  • Undo capability for all changes
  • Receipt comparing cost-per-commit before and after with 90% confidence range
  • Shareable card with visualization of token usage
  • Command output trimming to reduce context bloat
  • Cache expiration countdown in status line
  • MCP server integration for any agent
  • Claude Code plugin with skill and MCP server
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
  • Reads actual logs your agent already keeps, not a third-party service
  • Fixes only trim new content without rewriting cache to preserve prompt optimization
  • Open source under Apache 2.0 with no incentive to make you spend more tokens
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

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