| What it does | AI agents that prevent production incidents by verifying changes and investigating alerts
| Memory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph
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| Stage | Not given
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| Founded | 2023
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| Based in | US
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| Pricing model | Paid
| Freemium
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| Pricing | Team $700/month (1,400 credits), Pro $1,500/month (3,000 credits), Scale $3,000/month (6,000 credits), Enterprise custom annual billing. Change verification costs 2 credits ($1), issue investigation costs 10 credits ($5), chat requests 1 credit per started minute after first 30 seconds ($0.50/minute
| 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.
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| Key features | - Production change verification with up to 14-day monitoring
- Automated root cause analysis for production issues
- Fix pull request generation with production evidence
- Environment graph mapping services and dependencies
- Alert deduplication and false positive dismissal
- Operational memory accumulating across investigations
- Integration with Slack, Microsoft Teams, and web app
- SOC 2 Type II compliance and read-only by default
- MCP (Model Context Protocol) server support
- Custom agents and alert routing
| - 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
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| What makes it different | - Verifies production changes against real traffic for up to 14 days
- Hands off fix pull requests with production evidence for review
- Closes false positives and investigates only real production issues
- Learns from each fix and compounds knowledge across the team
- Read-only by default with full audit trails and SOC 2 Type II compliance
| - 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 47 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 11 | 0 |
| Citation Flow (Majestic) | 36 | 26 |
| Referring domains (Majestic) | 265 | 22 |