OliverGraph Aims to Give AI Agents Shared Context Across Engineering Teams

A startup called OliverGraph is building a platform to address a growing problem in software teams: AI coding agents operate in isolated sessions, causing critical context to be lost when a run ends. When multiple engineers use separate agents simultaneously — such as during an outage — findings and decisions made by one agent are invisible to others, leading to duplicated or conflicting work. The tool aims to capture what each agent did, why it acted, and what it changed, then link that history to existing artifacts like pull requests, documents, and incidents. This connected history can then be fed back into future agent sessions, so new agents benefit from what previous ones already learned. OliverGraph is currently seeking early-adopter engineering teams to trial the platform.