Project-owned intelligence
Context, decisions, handoffs, impact, outcomes, and verification should belong to the project workspace, not to one chat or one user session.
About
Snipara builds a persistent, model-agnostic harness for coding agents.
Snipara connects project knowledge to controlled coding work. Context and reviewed memory guide the agent; Companion and Orchestrator track execution, validation and review before integration.
Why it exists
Coding work needs project knowledge and acceptance rules.
Snipara started from the daily failure mode of AI-assisted software work: every session rediscovers architecture, old decisions, active changes, risk, and verification steps. The harness combines reusable project knowledge with scoped execution, validation and review before a change is integrated.
Bring your own model
Snipara prepares the intelligence layer. Claude Code, Codex, Cursor, OpenAI tooling, or another client still does the reasoning and execution.
Evidence before claims
The product favors source maps, freshness, review status, and proof gates over confident summaries that cannot be checked.
Operator
A Swiss software operator behind a developer infrastructure product.
The broader company context matters for vendor onboarding, but the public page should not dilute Snipara into a portfolio brochure. This page keeps the operator record and the product boundary visible.
Application
Hosted Snipara runs at OVHcloud in Roubaix, France.
Database
Vaultbrix PostgreSQL is hosted in Roubaix, France, with database backups stored separately in Geneva, Switzerland.
Customer boundary
Hosted and self-hosted paths are separated so teams can choose the right data-plane model.
Company role
STARBOX GROUP GMBH operates Snipara and handles formal commercial, privacy, and support requests.
Infrastructure note
Snipara is not vague about the runtime boundary.
Hosted Snipara, self-hosted Snipara, Vaultbrix-backed PostgreSQL, and the customer's own model provider are separate parts of the system. That separation is central to the product and to the trust page.
The harness is the product. Project Intelligence grounds it.
Snipara stores and retrieves the project-owned intelligence needed before AI-assisted work continues. It is not the customer's LLM, not a chat interface, and not a claim that every compliance control is already certified.
Read trust postureNext
Evaluate Snipara from the workflow you already use.
Connect a project, ask what changed, and let your existing AI client start from the same project intelligence as the rest of the team.