Compare / Amp vs Relevance AI
Head-to-head
Amp vs Relevance AI.
Side-by-side on ratings, pricing, pros, cons, and the honest take on which to pick. Cross-category comparison: Amp is a coding agent and Relevance AI is a no-code saas.
| Amp | Relevance AI | |
|---|---|---|
| Rating | 4.0 / 5 | 4.0 / 5 |
| Category | Coding Agent | No-code SaaS |
| Tech level | developer | low code |
| Open source | No | No |
| Pricing | Free tier with meaningful usage allowance. Paid tiers $19–$49/month for individuals. Enterprise pricing for teams bundled with Sourcegraph Code Search. Token-based usage on top of subscription tiers. | Freemium. Paid plans from ~$19/month. |
| Best for | Engineering teams already paying for Sourcegraph Code Search who want to add an AI agent that reuses the existing codebase index. Strong for large enterprise codebases (1M+ lines) where context retrieval is the bottleneck. Free tier is generous enough for individual evaluation. | Ops teams with one skilled builder who needs more than templates but doesn't want to write code. |
| Not for | Teams not on Sourcegraph — the standalone story is less differentiated than Claude Code or Augment Code. Solo developers and small projects where the codebase-context advantage doesn't compound. Builders who want a simpler CLI or terminal-first experience. | Pure non-technical users who want something to work without thinking about it — use Lindy instead. |
Our verdict on Amp
Sourcegraph's agentic coding tool built on years of code-search investment. The codebase-context story is genuinely differentiated for teams already running Sourcegraph at scale. As a standalone vs Cursor or Claude Code, it's solid but less obvious — the strategic moat is the Sourcegraph install base, not the agent itself.
Full Amp review →Our verdict on Relevance AI
The most powerful no-code agent builder. More complex than Lindy, but gives skilled non-developers real control.
Full Relevance AI review →Amp
What works
- Built on Sourcegraph's mature code-search and indexing infrastructure
- Free tier with meaningful usage allowance for individual evaluation
- Strong codebase-context story without separate indexing setup
- Native integration with Sourcegraph Code Search
- Sourcegraph's enterprise compliance (SOC 2, on-prem options) carries over
- Cross-repo awareness that single-repo tools miss
- Active product velocity — feature gap vs Cursor is closing fast
What doesn't
- Standalone value less compelling than Claude Code or Augment Code for non-Sourcegraph teams
- Newer to agentic coding (launched mid-2025) than competitors with longer track records
- Smaller community vs Cursor or Copilot
- Locked into Sourcegraph as the indexing/context layer
- Best fit narrows to enterprise teams already paying for Sourcegraph
- Editor support skews VS Code-centric; JetBrains story less mature
Relevance AI
What works
- Most powerful tool-building interface in the no-code category
- Handles complex multi-step logic without code
- Strong for research and outbound automation
- Active product development
What doesn't
- Steeper learning curve than Lindy
- Pricing scales quickly at volume
- Documentation can be inconsistent
Which to pick
These two are closely matched. Don't pick on overall rating — pick on use case. Amp for engineering teams already paying for sourcegraph code search who want to add an ai agent that reuses the existing codebase index. strong for large enterprise codebases (1m+ lines) where context retrieval is the bottleneck. free tier is generous enough for individual evaluation. Relevance AI for ops teams with one skilled builder who needs more than templates but doesn't want to write code.
Honest middle: most serious operators end up using more than one tool. If you're early in your AI agent journey, our five-question picker recommends a starting platform from your specific situation.
Common questions
Amp vs Relevance AI — which should I pick?
Amp and Relevance AI are closely matched (we rate them 4.0/5 and 4.0/5). Pick by use case rather than overall score: Amp for engineering teams already paying for sourcegraph code search who want to add an ai agent that reuses the existing codebase index. strong for large enterprise codebases (1m+ lines) where context retrieval is the bottleneck. free tier is generous enough for individual evaluation.; Relevance AI for ops teams with one skilled builder who needs more than templates but doesn't want to write code..
Is Amp or Relevance AI cheaper?
Amp's pricing: Free tier with meaningful usage allowance. Paid tiers $19–$49/month for individuals. Enterprise pricing for teams bundled with Sourcegraph Code Search. Token-based usage on top of subscription tiers. Relevance AI's pricing: Freemium. Paid plans from ~$19/month. The right "cheaper" pick depends on usage volume and what's included — see the pricing row in the table above.
What's Amp best for?
Engineering teams already paying for Sourcegraph Code Search who want to add an AI agent that reuses the existing codebase index. Strong for large enterprise codebases (1M+ lines) where context retrieval is the bottleneck. Free tier is generous enough for individual evaluation.
What's Relevance AI best for?
Ops teams with one skilled builder who needs more than templates but doesn't want to write code.
Why compare Amp and Relevance AI if they're different categories?
Amp is a coding agent and Relevance AI is a no-code saas. The comparison still matters because builders evaluating one often consider the other for adjacent jobs. See the recommendation section above for how to think about the cross-category choice.
Compare Amp against other options