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Polsia
✓ verified
Claims a fully autonomous AI system that runs companies 24/7; overreaching pitch, thin proof.
1.4M visits/mo
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Paperclip - ing
✓ verifiedFree
Open-source, self-hosted app to manage teams of AI agents like a company - org chart, goals, budgets and per-agent approvals.
942K visits/mo
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Qoder
✓ verifiedFreemium
Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
2.7M visits/mo32K saves
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Traycer AI
✓ verifiedPaid
Desktop workspace letting multiple AI coding agents (Claude Code, Codex, Cursor) collaborate on shared context and specs.
59K visits/mo13K saves
Pricing
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
Core features
- ✦Autonomous planning, coding, and marketing
- ✦24/7 continuous business operations
- ✦Third-party tool integrations (Email, Social, Payments)
- ✦Self-adapting and data-driven optimization
- ✦Founder inbox management and VC negotiation
- ✦Live dashboard for real-time task tracking
- ✦Manage teams of AI agents
- ✦Bring-your-own-agent (any runtime/provider)
- ✦Org chart with roles and reporting lines
- ✦Goal alignment for tasks
- ✦Per-agent budget and cost controls
- ✦Ticket system with full audit trail
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦Runs multiple coding agents (Claude Code, Codex, OpenCode, Cursor) in one workspace
- ✦Bring-your-own-subscription model for existing agent accounts
- ✦Agent-to-agent communication for questions, reviews and handoffs
- ✦Shared filesystem, decision history and specs per task
- ✦Mid-chat model switching without losing context
- ✦macOS desktop app
Use cases
- →Building and launching a startup with zero human staff
- →Automating multi-channel marketing and content promotion
- →Maintaining and updating software products on autopilot
- →Managing investor relations and daily business workflows autonomously
- →Orchestrating agents across business functions
- →Running dev, marketing and research agents
- →Building autonomous-business workflows
- →Governing and budgeting agent work
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Developers coordinating multiple AI coding agents on the same project
- →Teams collaborating around shared agent context and specs
- →Switching between different LLMs mid-task without losing history
- →Reviewing and handing off in-progress coding work between agents
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