Project intelligence for agentic work

Give every AI agent the same project starting point.
Before the first edit.

Snipara gives agents the project intelligence they need: what changed, why it changed, what it impacts and what should be verified next.

Start free Watch Git-context demo

Works with Claude Code · Codex · Cursor · VS Code — connected in under 2 minutes.

Install once with npx create-snipara. Continue every session with snipara-companion.

Without Sniparaagent starts from zero

agent › new session

› no memory of the previous session

› re-scanning the repo… (42s)

⚠ re-explains architecture decided yesterday

⚠ ignores the forbidden Prisma migration

⚠ rewrites code another agent is editing

› "remind me of the context…"

→ tokens burned, decisions lost, regression risk

With SniparaStart Work Brief received

agent › new session

↳ snipara.start_work_brief()

✓ what changed: workspace invite billing behavior

why: LINEAR-142 lowers workspace growth friction

✓ impact chain computed

invite flow → billing policy → permissions → 3 tests

✓ verification plan: phase "verify"

✓ coordination: no owner overlap on changed files

→ the agent starts with guidance, not just memory

Illustrative content based on real Snipara primitives: Start Work Brief, impact chains, source authority, verification plans and coordination guidance.

Workflow

One loop, every session — the agent arrives already up to speed

Snipara wraps the way your agents already work. No new habits to learn.

Connect once

Run npx create-snipara once and point your agent at the hosted MCP endpoint. Repo, decisions and docs are indexed automatically.

Start with project intelligence

Load what changed, why it changed, active decisions, impact chains, overlap risk and the safest next action before editing.

Verify and carry it forward

Run the verification plan, commit each phase, hand off the session and resume from the timeline in any agent.

connectstatus / briefedit & reviewhandoff / resume↺ stays with the project

Product

Project intelligence, not just project memory

Snipara turns durable context into the four questions every agent should answer before it edits.

What changed

The next agent sees the movement, not just the diff

Branches, handoffs, PR context, memory updates and recent files become one start-work brief instead of scattered clues.

Why it changed

Decisions, issues and source authority stay attached

Snipara keeps the reason visible: Jira or Linear issue, reviewed decision, confidence, provenance and stale-assumption warnings.

What it impacts

Impact chains turn context into blast-radius awareness

The code graph links symbols, config facts, routes, tests, runtime summaries and ownership cues before the first edit.

What happens next

Verification plans guide execution

Snipara recommends the checks, missing gates and safest next action so agents can move from memory to verified work.

Verification plans

Snipara does not just remember. It guides execution.

Memory tells the agent what matters. Verification Plans tell it how to prove the change is safe: recommended tests, impacted files, risk reasons, missing checks and the next action that should happen now.

source-backedimpact-awarerisk-scoredexecution-guided

snipara verification_plan

generated before editing

risk HIGH

riskHIGH

changedcreateWorkspaceInvite(), billing seats, workspace permissions

whyLINEAR-142: reduce workspace growth friction

impactinvite flow -> billing policy -> permission boundary -> 3 tests

verifyworkspace-invites.test.ts, billing-seats.test.ts, permissions-boundary.test.ts

missingproduction config check for billing mode

The output is not a chat summary. It is a compact execution brief the next AI client can use immediately.

Developers

Drop it into the stack you already run

Open primitives, protocols and packages — wired to the tools your team already lives in.

GitHub App

Connect a repo, get PR Answer Packs and review surfaces natively.

Hosted MCP

Plug any MCP-capable agent into hosted project context in one line.

https://api.snipara.com/mcp/<project>

API & SDK

Query context, memory and the code graph directly from your services.

Code Graph

Impact chains, config facts, runtime summaries and verification plans across the repo.

snipara_code_impact() -> verification_plan

Connects toGitHubJiraLinearClaude CodeCodexCursorVS Code

CLI · snipara-companion

Git-style continuity for agent work

The companion CLI gives agents familiar workflow primitives: status, brief, timeline, phase-commit, handoff and resume. It turns session memory into durable project workflow state.

Read the companion docs

# status, commit per phase, hand off, resume anywhere

$ snipara-companion status

$ snipara-companion brief --task "verify release"

$ snipara-companion workflow phase-commit \

--phase verify --summary "tests green"

✓ phase saved · durable across sessions

$ snipara-companion handoff --summary "tests green"

$ snipara-companion workflow resume

↳ resumes at phase "verify" — full context restored

You already know how to use it

git ↔ snipara-companion

git status→snipara-companion statusWhere am I?
git log→snipara-companion timelineWhat happened?
git commit→snipara-companion workflow phase-commitSave progress
git format-patch→snipara-companion handoffHand off to another agent
git checkout→snipara-companion workflow resumePick up where you stopped

Project continuity, with verbs your engineers already know.

Pricing

Start free. Scale when your agents do.

One all-inclusive plan per tier — context, memory and agents bundled. Extra seats available on Team and Enterprise.

Billed annuallysave 20%

Free

Activation & habit building

Start free

1 seat · 3 projects
1,000 queries / mo
500 memories · 1 swarm
7-day history

Start every agent from the same project intelligence.

Give your team and its agents the same view of what changed, why it changed, what it impacts and what to verify next.

Start free Read the docs

Snipara is the project continuity layer. Helvabase is the business continuity layer. Same family.

Give every AI agent the same project starting point.Before the first edit.