Oynix is the memory layer for AI coding agents.

It ties a team's code, tickets, docs, and conversations into one live knowledge graph. This graph is then served to any AI agent over MCP, enabling agents to stop starting from zero and leverage existing context. The engine runs on the customer's own infrastructure and database, ensuring data privacy and control.

• Connectors: Integrates with 18+ sources including GitHub, Slack, Jira, Confluence, Notion, Google Drive, and more, allowing teams to connect their existing tools with a single tap.
• Knowledge Graph: Automatically builds a comprehensive graph by linking code to its explanations, decisions, and conversations. It infers ownership and identifies potential risks.
• Ask Oynix: Enables querying the knowledge graph directly, providing agents with specific nodes that answer questions, complete with traceable evidence from the source.
• Local and BYOK: Runs on your machine, using your own keys and database, ensuring that your data remains within your infrastructure.
• MCP Integration: Acts as an MCP server, returning graph facts without token costs for retrieval, allowing agents to reason with their own models and keys.
• The Wiki: Generates an engineering handbook from the graph, with every claim traced back to its origin, updating automatically as the code changes.
• Cost Savings: Addresses the high costs associated with AI agents starting from scratch by providing them with pre-existing team knowledge, reducing redundant work and expenses.

Oynix ensures that nothing your team decides is ever lost, providing a persistent memory for AI coding agents.