Primitive gives AI agents a record of the decisions behind the code
A software team chooses one way to handle logins, then an AI agent working later brings back an approach the team rejected. That is the scenario Primitive uses to explain its product: a shared record of decisions for teams that build software with AI agents. Primitive says it records choices, rejected alternatives and the reasons behind them, then makes that context available to teammates and their agents. The company says the software can check new work against earlier decisions. A shared decision record could give a team a reason to pay for coordination without replacing the coding agents it already uses.
Decisions that travel between tools
Primitive says teams install its command-line tool and connect their existing agents. It describes capturing decisions from places including agent sessions, documents and meetings, then sharing them across a team.
The company says users can choose which decisions matter and when checks happen. A team could use that control to focus on consequential choices rather than treat every change as a rule.
The proposed service sits alongside a range of coding tools. In Stack Overflow’s 2026 developer survey, 65.5% of the 12,255 respondents to its coding-agent question reported using Claude Code in the previous year, and 58.7% reported using GitHub Copilot. Respondents could report more than one tool; the survey does not measure demand for Primitive.
Researchers behind the MemoryArena benchmark report that memory-equipped agents struggled with interdependent tasks across multiple sessions. Their work illustrates a broader problem with using past context in later actions, but it did not test Primitive.