代理工具
GitHub Agentic autofix integrates with Copilot Memory, enabling security fix patterns to be reused across tasks
When handling security alerts, the agent can consult existing memories and save newly generated fix patterns for other Copilot features to use. The feature remains in public preview, and GitHub has not published data on improvements to success rates or costs.

GitHub announced on September 25 that Agentic autofix now integrates with Copilot Memory. For users who have enabled memory, the agent consults existing memories when handling security alerts and saves fix patterns when generating remediations for future reuse. This information can also be made available to Copilot code review and cloud agent, allowing security development practices from the same repository to carry over to other workflows. Both features remain in public preview. [Official announcement](https://github.blog/changelog/2026-09-25-agentic-autofix-now-uses-copilot-memory/)
The technical significance of this change is that it connects context accumulated during security fixes to cross-task memory. Based on the official description, if the agent can retrieve existing project practices for database connections or input handling, later fixes may require less repeated exploration and may more easily follow consistent implementation patterns. However, the announcement provides no comparative data on fix success rates, time, or cost, so the practical benefits remain to be measured.
The reliability of memory depends on validation before use. According to the official documentation, repository-level facts include code citations that support them. Once Copilot determines that information is relevant to a task, it checks the citations against the current branch and uses only content that passes validation. These facts are available only for operations within the same repository, and can be created only from activity initiated by users who have memory enabled and write access. [Memory documentation](https://docs.github.com/en/copilot/concepts/agents/copilot-memory)
Retention is also conditional: facts or preferences that go unused for 28 consecutive days are automatically deleted. The timer may reset after successful validation and use. The documentation also notes that pull requests closed without being merged may generate memories, so “saved” should not be taken to mean that the team accepted the fix. Whether a memory applies must still be supported by the current code. [Retention and validation rules](https://docs.github.com/en/copilot/concepts/agents/copilot-memory#retention-and-validation)
For deployment, administrators should check the applicable policy scope. Copilot Memory is off by default for enterprise- and organization-managed subscriptions, and users can still opt out after an administrator enables it. When a user has licenses from multiple organizations, the strictest setting applies. Repository administrators can review and delete inappropriate or incorrect facts, making memory a maintainable engineering asset. [Administrator documentation](https://docs.github.com/en/copilot/how-tos/use-copilot-agents/copilot-memory/manage-as-administrator)
One question to track is whether adding memory improves the share of fixes that pass tests and human review, and whether older patterns might be misapplied after architectural changes. The announcement says patterns are saved when fixes are generated, but does not explain whether merging or passing security tests is an additional condition for saving them. Engineering teams should continue to treat citation validation and vulnerability fix validation separately, and retain regression tests and fix reviews.