Sniparaproject brain
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Context layerProject context and memory for coding agents without a new chat surface.Project BrainThe context layer your coding agent starts from.Before / afterWhat changes when the agent starts from project state instead of recall.60s demoWatch a cold ACME agent become a briefed agent before the first edit.Proof replaySee what changes when the agent starts from reviewed project state.InstallConnect the hosted MCP endpoint to the agent you already use.Agent surfacesHow the same Project Brain reaches the coding agents teams already use.
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QuickstartConnect an AI coding agent in minutes.Project Brain modelWhat changed, why, impact, next step, safety.Hosted MCPTool contracts for agent clients.API ReferenceProgrammatic context and project intelligence access.GitHub AppRepository sync and PR Answer Packs.Multi-agentCoordinate swarms, claims, state, events and htasks.Snipara SandboxRepeatable execution when validation needs proof.Companion CLIWorkflow continuity for long agent work.
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About

Snipara keeps AI-assisted engineering work grounded in the project.

Teams do not need another agent identity. They need a project-owned layer that remembers the work, exposes what changed, and tells every agent what is safe to trust before it edits.

Read the visionContact the operator
Why it exists

The hard part is not asking an agent to code. The hard part is keeping the project reality intact across runs.

Snipara started from the daily failure mode of AI-assisted software work: every session rediscovers architecture, old decisions, active changes, risk, and verification steps. Project Intelligence turns those signals into reusable context before the next agent or human continues the work.

Project-owned intelligence

Context, decisions, handoffs, impact, outcomes, and verification should belong to the project workspace, not to one chat or one user session.

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 on the Infomaniak production stack.

Database

Primary PostgreSQL storage is documented on Vaultbrix in 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.

Project Intelligence is the product layer.

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 posture
Next

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.

Start with the docs