| What it does | Memory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph
| AI agent observability, tracing and evaluation platform
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| Stage | Not given
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| Founded | 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.
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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
| - Trace viewer showing model calls, tool calls, and retrievals
- Cost tracking per step with latency and token counts
- Root cause detection for failures
- Live streaming and replay of agent runs
- Automatic secret redaction before data transmission
- Semantic search across runs and steps
- Support for multiple frameworks and languages
- Evaluations and datasets for quality assessment
- Slack alerts and release gates
- Collaboration and code review tools
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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
| - One-line setup with automatic detection of model and tool calls
- Identifies first failure point instead of surface errors
- Per-step cost visibility with no monthly surprises
- Automatic secret stripping keeps sensitive data local
- No agent code rewriting required
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 26 | 22 |
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| Referring domains (Majestic) | 22 | 1 |
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