Every conversation builds context. Every task makes it smarter. Papr Work is the first AI agent powered by context intelligence—running locally, learning continuously, and remembering everything that matters.

Why It's Different
Other AI assistants forget you the moment the conversation ends. Papr Work is built on context intelligence—a living memory that grows with every interaction, so your agent gets more useful over time, not less.
"I'm working on a Next.js app with Tailwind..."
"Remember, I'm using Next.js and Tailwind..."
"Like I said before, it's Next.js with..."
"For the 50th time, my stack is..."
Every conversation starts from zero
Learns your stack: Next.js 15, Tailwind, pnpm, Vercel
PreferenceRemembers your API patterns, component conventions, file structure
PatternConnects: the auth bug relates to the middleware change from Tuesday
ConnectionProactively suggests: "Based on your refactor plan, this PR should also update the tests"
PredictionContext compounds—every interaction makes it smarter
Preferences, decisions, project history—automatically captured from every conversation and tool use.
Links related context across time—a bug, the PR that caused it, and the design decision behind it.
Predicts what context you'll need and surfaces it proactively—before you ask.
Multi-Model Intelligence
Sign in with your ChatGPT or Claude account to use models you already pay for—no extra API costs. Or bring your own keys, or run Qwen locally with Ollama. Whichever model you choose, it has access to the same persistent context intelligence.
Claude Sonnet 4 and Opus for deep reasoning, long-context analysis, and careful code generation. Sign in with your Claude account to use your existing Pro or Max plan—no separate API key needed.
Use accounts you already have
Shared across all models
Your project: Next.js 15 + Tailwind + Vercel
Remembered preference
Uses TypeScript strict mode, prefers functional components
Recent decision
Migrated auth from NextAuth to Clerk (March 10)
Switch models freely—your context follows you
Context-Aware Tools
Every tool in Papr Work is powered by your context graph. They don't just execute commands—they understand your project, remember past actions, and adapt to how you work.
Execute commands with awareness of your project structure and history
Without context
"Run npm install" — starts from scratch every time
With Papr Context Intelligence
Knows your project uses pnpm, prefers --frozen-lockfile, and last failed on node 18
Context Graph
Your accumulated knowledge
Shell Tool
Context-enhanced execution
Smarter Result
Feeds back into your context
Automation
Papr Work doesn't just automate tasks—it builds automations informed by your full context. Mini-apps, scheduled jobs, and background agents all tap into the same living memory.
AI creates full TypeScript applications with their own SQLite databases and UIs. Because the agent knows your data and preferences, apps are tailored from the start.
Context advantage
“Build a sales dashboard” → already knows your CRM fields, deal stages, and preferred chart types from past conversations
Python, Node, or Swift scripts on cron schedules. Each job has access to your full context graph—no setup, no re-briefing.
Context advantage
“Monitor competitors daily” → knows which competitors, which metrics, and where to report findings
Background AI tasks that run autonomously and feed results back into your memory. The more they run, the smarter they get.
Context advantage
“Research this topic” → findings enrich your context graph for future conversations
In Practice
From sales pipelines to social monitoring to daily briefings—real examples of mini-apps and jobs that get smarter with every run because they're powered by your context.
Track pipeline, conversion rates, and deal velocity with data from your CRM sync
Score threads, draft context-aware replies, and track engagement across subreddits
View, score, and enrich leads from your Lead Finder job with one-click outreach
Visitor-to-signup conversion tracking synced from Amplitude, updated every 6 hours
Monitor mentions, track sentiment trends, and surface viral opportunities
Weekly intelligence reports on competitor pricing, features, and hiring patterns
Search LinkedIn & Crunchbase, score against your ICP, save to database
Categorize unread emails as urgent, important, or routine with suggested actions
Check calendar, pull LinkedIn profiles & prior emails, compile briefings
Monitor competitor sites for product updates, pricing changes, and hiring
For each new lead: research tech stack, recent news, decision makers, and contact info
Generate personalized outreach for qualified leads using context from past conversations
Review drafts for clarity, tone, and accuracy before publishing — learns your brand voice
Deep-dive into industry trends, synthesize findings, and save insights to your memory
Fetch and summarize tech news relevant to your interests and projects
Analyze sentiment across social mentions and surface shifts that need attention
Every app and job builds on your context
Your Lead Finder knows your ICP because you discussed it last week. Your Meeting Prep pulls from prior emails the agent already read. Your dashboards update with data from jobs that already know what metrics matter to you. The more you use Papr Work, the less setup each new automation needs.
Built for Simplicity
Other AI agent platforms require hours of configuration, YAML files, and infrastructure setup. Papr Work is a desktop app—download it, sign in, and start working.
Install Docker, Python, Node, and dependencies
30 minConfigure YAML files for agents, tools, and workflows
1-2 hrsSet up vector database, embeddings pipeline, storage
2-4 hrsWrite custom tool integrations and API connectors
2-4 hrsDebug configuration errors and version conflicts
???Repeat setup on every new machine
Every timeDays of setup before your first useful output
Download and open the app
1 minSign in with ChatGPT or Claude (or add an API key)
30 secStart chatting — the agent has tools built in
InstantAsk it to create a job, app, or workflow
1 promptContext builds automatically as you work
OngoingProductive in under 2 minutes
0
Config files to write
0
Infrastructure to manage
1
App to download
Shell, browser, filesystem, documents, memory, skills, jobs, mini-apps, sub-agents—all built in from day one. No plugins to install, no pipelines to wire up, no Docker containers to orchestrate. Just open the app and tell it what you need.
Delegation & Planning
Break complex work into parallel tasks, each handled by a sub-agent that shares the same context intelligence. No re-briefing required.
Delegate tasks to sub-agents that inherit your full context graph. When they finish, their findings feed back into the shared memory.
Complex tasks are broken into structured plans with progress tracking. The agent knows what's done, what's next, and how decisions connect.
Work with two related contexts side by side—a chat and a document, a mini-app and its code, or two parallel research threads.
Research
DoneCode Review
RunningWrite Tests
QueuedResults merge into shared context
Every sub-agent's work enriches future interactions
Privacy & Trust
Your context intelligence is too valuable to trust to someone else's server. Papr Work runs entirely on your device, and every line of code is open source.
Runs locally on your device
Context intelligence never leaves your machine
Secrets stored in macOS Keychain
API keys, passwords, and access tokens in OS-level secure storage
Agents never see your credentials
AI can use tools with your approval, but keys are never in the prompt or visible to the model
Open source (AGPL-3.0)
Inspect every line—no black boxes
Your API key
Stored in Keychain
You approve
Agent requests access, you decide
Agent uses the tool
Key never visible to AI
Your context shouldn't live on someone else's server. Your secrets shouldn't be visible to AI. With Papr Work, the intelligence that knows you stays with you—and your keys stay locked.
Every conversation makes it smarter. Every task makes it more useful. The best time to start building your context was yesterday—the second best time is now.