| What it does | Memory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph
| Security scanner for AI agent configurations and MCP tool definitions
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | 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.
| Free: $0, no account needed. Pro: $19/mo or $190/yr. Team: $57/mo (3-user minimum) or $570/yr, then $19/mo per additional user.
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| 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
| - Browser-based scanning for agent configurations
- CLI for local scans and CI enforcement
- 30+ security checks and secret detection
- OWASP and SOC 2 rule packs
- Gateway runtime enforcement for MCP requests
- GitHub App integration with pull request checks
- Optional AI-powered remediation guidance
- Policy-as-code via .fooguard.yml
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| 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
| - Deterministic security rules rather than AI-based scoring
- Pre-deployment configuration analysis without agent execution
- Runtime enforcement via Gateway for supported MCP tool calls
- Audit logging and SIEM streaming for compliance
- Works across browser, CLI, GitHub, and API
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 8 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 0 | 3 |
| Citation Flow (Majestic) | 26 | 21 |
| Referring domains (Majestic) | 22 | 18 |