Izlo vs Manifest
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Izlo Agents | Manifest Agents | |
|---|---|---|
| Tagline | Prompt management platform with version control, collaboration, and an API for production deployment. | Open-source LLM router that fans your agent traffic across providers and your existing AI subscriptions. |
| Category | Agents | Agents |
| Pricing | Paid· Solo $20/mo; Pro $25/user/mo; Enterprise $39/user/mo | Freemium· Open-source self-host is free; managed cloud in early access |
| Model | Model-agnostic | Multi-model |
| Editorial score | 6.9 / 10 | 7.1 / 10 |
| Use cases | prompt-managementversion-controlteam-collaborationprompt-testingproduction-deployment | llm-routingcost-controlagent-infrastructurefallback-handlingmulti-provider |
| Pros |
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| Cons |
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| Website | getizlo.com | manifest.build |
Pick Izlo if
- ✅ Git-style version history and activity log for every prompt change
- ✅ Remix sandbox isolates experiments from production prompts
- ✅ REST API lets you swap prompts without redeploying the app
- ✅ Built for multi-user team editing, not just solo developers
Pick Manifest if
- ✅ OpenAI-compatible endpoint, so most SDKs and agent harnesses drop in unchanged
- ✅ Per-tier fallbacks keep agents running through provider outages and rate limits
- ✅ Auto-fix silently corrects deprecated model IDs and bad parameters
- ✅ Self-hostable via Docker with support for local runtimes (Ollama, LM Studio, Llama.cpp)