| What it does | AI-powered software development and maintenance service with expert governance and system intelligence
| Memory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph
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| Stage | Established
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| Founded | 2014
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| Based in | US
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| Pricing model | Paid
| Freemium
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| Pricing | DevCredits pricing model where costs vary by change complexity. Monthly Continuous Software Readiness maintenance package covers routine updates and small enhancements. New features purchased individually as DevCredits or in discounted bundles: 200 DCs (save 5%), 500 DCs (save 10%), 1,000 DCs (save
| 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 | - Continuous per-change delivery without sprint cycles
- AppGraph system intelligence for persistent context
- Five review gates with expert supervision
- Full lifecycle management from requirements to deployment
- Security and reliability controls with rollback capability
- Pay-per-change DevCredit pricing model
- Managed Kubernetes infrastructure with continuous improvement
- Complete audit trail and full traceability
- AI-assisted requirements and PRD generation
- Automated testing, documentation, and deployment preparation
| - 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 | - No vendor lock-in with full code ownership and open platform model
- Predictable costs and delivery estimates before implementation starts
| - 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) | 53 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 20 | 0 |
| Citation Flow (Majestic) | 41 | 26 |
| Referring domains (Majestic) | 421 | 22 |