Talk to your AI coding agent like it understands the project.
The homepage now starts with the familiar category: memory MCP for coding agents. This page keeps the deeper thesis. Snipara is building the project-owned intelligence layer below models, agents, editors, and humans.
Your LLM reasons. The project should be the record.
Memory without authority becomes another pile of context.
A useful agent brief says what changed, why, impact, next check, and safety.
Proof, receipts, and outcomes matter more than confident summaries.
Project Intelligence, not raw memory.
A coding agent can read files, search docs, and call tools. That is not the same as knowing what the project already decided, which assumptions went stale, who owns the work, what the next edit could break, or which checks would make the result trusted.
Snipara treats the repository as an operational system of record: docs, decisions, reviewed memory, Code Graph impact, active work, verification, handoffs, and outcomes. Companion turns that state into scoped work that your chosen model can execute.
The model still reasons. Snipara keeps the project from starting over.