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Sweep vs Wordware: 2026 comparison

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

💻CodeAutonomousFreemium · from $30
CodeTool useMemory

No-code AI agent builder — design and ship multi-step LLM workflows that anyone on the team can edit.

💻CodeSemi-autonomousFreemium · from $29
Tool useMemoryMulti-agentRAG

Sweep vs Wordware — specs

SpecSweepWordware
Agent Rank58 / 100 (B)73 / 100 (A)
AutonomyAutonomousSemi-autonomous
PricingFreemium · from $30Freemium · from $29
Open sourceYesNo
CapabilitiesCode, Tool use, MemoryTool use, Memory, Multi-agent, RAG
Integrations1 apps4 apps
VerifiedVerified
ReleasedMar 2025Apr 2025

Categories: SweepCode · WordwareCode

Agent Rank breakdown

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?

Wordware
Agent Rank
73/ 100
AA-tier
Autonomy fit
8
Capabilities
8
Integrations
6
Pricing value
7
Polish & maturity
5
Verifiability
10

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

Pros & cons

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
Wordware
Pros
  • +Document-like UI makes building agent workflows intuitive for non-engineers
  • +Strong template library — copy a working workflow and modify
  • +Genuinely useful for prototyping multi-step agent logic before coding it
Cons
  • Production-grade deployments still benefit from custom code
  • Pricing tiers can be confusing as workflows scale
  • Less polished observability than purpose-built agent platforms

Pricing

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
Wordware
Free
Free
Trial
  • +Public workflows only
  • +Community templates
Recommended
Pro
$29/mo
Solo builders
  • +Private workflows
  • +Higher rate limits
  • +Custom integrations
Team
$99/mo
Small teams
  • +Shared workspace
  • +Role-based access
  • +API export

Which one should you pick?

Sweep

Pick Sweep if you want the highest autonomy and the verification loop is in place or if auditability or self-hosting matters.

Try Sweep →
Wordware

Pick Wordware if cost is the main constraint or if your stack spans many tools and integration depth is the constraint.

Try Wordware →

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Frequently asked

Should I pick Sweep or Wordware in 2026?+

Pick Sweep if you want the highest autonomy and the verification loop is in place or if auditability or self-hosting matters. Pick Wordware if cost is the main constraint or if your stack spans many tools and integration depth is the constraint. Most working teams running both can use Sweep for primary work and Wordware for the workflows where its specific strengths matter.

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

Sweep starts at Freemium · from $30; Wordware starts at Freemium · from $29. Wordware 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, Sweep or Wordware?+

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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