Memory designed for coding agents

Coding agents work under a constant constraint: every tool description, search result, and retrieved file takes up space in the context they use to reason. An enormous response can contain the right answer and still make the task harder by burying it among irrelevant details. Useful memory therefore has to help an agent find the right piece of work and load it at the right time.

Sirro's tools follow the actions an agent is likely to take while building software. An agent can save work, search the library, retrieve a chosen asset, update its details, or compose several assets into a project. Those actions are available through a shared connection, so the agent can work with the library from its coding environment while the person can inspect the same material in Sirro.

Discovery stays compact. A library search returns enough information for the agent to identify a promising asset, including a short excerpt and its details. When that result is relevant, the agent asks for the full asset. This sequence keeps unrelated content out of the agent's immediate context and lets it make a deliberate choice about what to read next.

Composition extends the same idea to larger pieces of work. When an agent needs several known assets, Sirro can gather them as a Pack and bring them into the current project. The agent can then spend its attention on integration and verification, with fewer intermediate retrieval steps filling the conversation.

A library built this way becomes useful in the ordinary flow of coding. You can ask for a component or pattern by name, and the agent can find the saved work behind that name. The interface is shaped around what the agent needs to do with memory: discover it, examine it, and put it to work.