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Continue vs Sweep: 2026 comparison

Open-source coding agent for VS Code and JetBrains — bring your own model, customize every prompt.

💻CodeSemi-autonomousOpen source
CodeTool useMemory

GitHub-native agent that turns issues into reviewed pull requests.

💻CodeAutonomousFreemium · from $30
CodeTool useMemory

Continue vs Sweep — specs

SpecContinueSweep
Agent Rank75 / 100 (A)58 / 100 (B)
AutonomySemi-autonomousAutonomous
PricingFree · OSSFreemium · from $30
Open sourceYesYes
CapabilitiesCode, Tool use, MemoryCode, Tool use, Memory
Integrations3 apps1 apps
VerifiedVerified
ReleasedFeb 2025Mar 2025

Categories: ContinueCode · SweepCode

Agent Rank breakdown

Continue
Agent Rank
75/ 100
AA-tier
Autonomy fit
8
Capabilities
6
Integrations
4
Pricing value
10
Polish & maturity
7
Verifiability
10

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Sweep
Agent Rank
58/ 100
BB-tier
Autonomy fit
9
Capabilities
6
Integrations
2
Pricing value
7
Polish & maturity
5
Verifiability
6

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Pros & cons

Continue
Pros
  • +Apache 2.0 — fully open source; auditable end-to-end
  • +Works with any OpenAI-compatible API endpoint, including local LLMs
  • +JetBrains support that Cursor and Cline lack
Cons
  • Smaller community than Cursor or Cline
  • Less polished than Cursor; requires more configuration
  • No native MCP server marketplace — manual config required
Sweep
Pros
  • +Issue-to-PR turnaround in minutes for well-described bugs
  • +GitHub-native — authenticates as a GitHub App, no extension needed
  • +Great on TypeScript / Python / Go codebases with reasonable test coverage
Cons
  • Struggles when issues are vague or codebase is messy
  • No interactive mode — you describe, it ships
  • Less effective on closed languages or proprietary frameworks

Pricing

Continue
Open source
Free
Engineers + teams
  • +Apache 2.0 license
  • +BYO model API key
  • +VS Code + JetBrains support
Recommended
Hub
$20/mo
Teams sharing config
  • +Shared models + assistants
  • +Org-wide rules and prompts
  • +Usage analytics
Sweep
Free
Free
Personal repos
  • +Up to 5 issue-to-PR runs/month
  • +Public repos only
Recommended
Starter
$30/mo
Small teams
  • +Unlimited runs
  • +Private repos
  • +Configurable rules
Enterprise
Custom
Larger orgs
  • +Self-hosted option
  • +SAML SSO
  • +Dedicated support

Which one should you pick?

Continue

Pick Continue if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.

Try Continue →
Sweep

Pick Sweep if you want the highest autonomy and the verification loop is in place.

Try Sweep →

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Frequently asked

Should I pick Continue or Sweep in 2026?+

Pick Continue if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Sweep if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Continue for primary work and Sweep for the workflows where its specific strengths matter.

What's the price difference between Continue and Sweep?+

Continue starts at Free · OSS; Sweep starts at Freemium · from $30. Continue is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.

Which is more autonomous, Continue or Sweep?+

Sweep is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.

Want the real monthly cost at your volume? Run the TCO calculator →
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