Project Intelligence
for AI Agents
Snipara helps agents answer five questions before they act: what changed, why, what it impacts, what should happen next — and whether evidence says proceed, review, or stop.
Claude Code · Codex · Cursor · VS Code — connected in under 2 minutes
From memory to judgment
Most systems answer “what is relevant?”. Snipara answers “what should happen next?”
Cold start, every session
The agent rescans the repo and reconstructs the task from raw files.
Decisions evaporate
Yesterday's rationale lives in old chats and one developer's memory.
Blind to parallel work
Another human or agent edits the same surface without warning.
Starts with what changed — and why
Start Work Brief: changes, decisions and rationale loaded first.
Impact and next action, outcome-informed
Blast radius, prior outcomes and caveats guide the next check.
Guards before risky edits
Coordination, active work state and consistency checks say go / stop.
One loop, every session
The agent arrives already up to speed — and outcomes feed the next session.
Connect once
npx create-snipara, then point any agent at the hosted MCP endpoint.
Start with judgment
What changed, why, impact, next action, safe to proceed — answered before the first edit.
Verify and carry it forward
Run the checks, hand off anywhere, and outcomes sharpen the next session.
Before an agent acts, it should know
Continuity, coordination, governance, judgment and proof — around every contributor.
What changed
Know what matters since the last session.
Why
Decisions, assumptions and rationale stay with the project.
Impact
Structural and historical consequences before changing code.
Next action
Outcome-informed recommendations with confidence and caveats.
Safe to proceed
Coordination and consistency guards prevent risky changes.
Outcome learning
Future recommendations improve from observed outcomes.
Snipara does not just remember. It judges.
Context is evaluated against decisions, historical impact and observed outcomes.
Snipara Graph
Callers, imports, blast radius and the historical consequences of similar changes.
Outcome-Weighted Judgment
An advisory recommendation with confidence, evidence, counter-evidence and caveats.
Drop it into the stack you already run
Open primitives and protocols, wired to the tools your team already lives in.
Give any AI agent project intelligence and operational continuity
Start free. Scale when your agents do — billed annually, save 20%.
- 10 projects
- 10,000 queries / mo
- Impact + symbol cards
- What Changed For Me
- 5 seats · unlimited projects
- 50,000 queries / mo
- Team Sync briefs
- Analytics & governance
- 20 seats included
- 500k queries / mo
- SSO · audit · SLA
- Rollout support