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OpenLIT vs Oynix

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

OpenLIT compared with Oynix
DetailOpenLIT logo OpenLITOynix logo Oynix
What it doesOpen-source agent harness engineering platform built on OpenTelemetry Memory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph
StageStartup Not given
Founded2024 Not given
Based inIN Not given
Pricing modelOpen source Freemium
PricingOpen source (Apache 2.0): Free self-hosted with unlimited usage. Enterprise Edition: Contact sales for pricing. Cloud: Coming soon. 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
  • OpenTelemetry-native LLM tracing for every call, tool, and retrieval
  • Agent evals with LLM-as-a-judge and heuristics
  • Prompt Hub for versioning and deployment without code changes
  • Guardrails for prompt injection, jailbreak, and sensitive topic detection
  • Vault for encrypted API key management
  • OpenGround for side-by-side LLM model comparison
  • GPU monitoring for utilization, memory, temperature, and power
  • Coding agent observability for Claude Code, Codex, and Cursor
  • Cost tracking and latency monitoring
  • 56+ integrations with LLMs, frameworks, and vector databases
  • 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
  • Self-host free forever under Apache 2.0 with unlimited usage and no per-trace fees
  • OpenTelemetry-native traces exportable to Grafana, Datadog, or any OTLP backend
  • Zero-code instrumentation with eBPF controller, native SDKs, or GPU collector
  • Unified platform for traces, evals, guardrails, and prompts on the same production data
  • Full data ownership and no vendor lock-in with exportable OpenTelemetry traces
  • 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)63 −2 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)230
Citation Flow (Majestic)3926
Referring domains (Majestic)48322

5 details filled in for both companies.

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