Id-agent – Token efficient UUID alternative for AI agents

UUIDs are verbose. When you are stuffing dozens of entity references into an LLM context window, those 36-character strings add up fast and cost real tokens. Id-agent proposes a shorter identifier format designed to carry the same collision-resistance guarantees at a fraction of the token cost. That is a narrow but legitimate problem, and it is the kind of thing that only occurs to someone who has actually built and profiled an agent pipeline in production. The open-source project is early and the documentation is minimal, so the evaluation cost is a bit of your own reading time. What it is NOT is a framework or a runtime — it is a utility library, and its scope is appropriately small. Reservation: UUID alternatives have a long tail of edge cases around sortability, database indexing, and interoperability. Before adopting this in production, verify it does not break any assumptions downstream. -> Best for: AI engineer or ML researcher optimizing token budgets in high-throughput agent systems