Hatchet vs Manifest: Which is Better in 2026?
A comprehensive comparison of Hatchet and Manifest covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Hatchet if:
- →You want more affordable paid plans (from $10/mo)
- →You need a broader feature set (6 features vs 5)
- →You need durable execution that resumes rather than restarts or cron scheduling, event and webhook triggers, data ingestion
Choose Manifest if:
- →You need autofix retries, reroutes and repairs broken provider calls before the agent sees them or routes to subscription providers (claude, chatgpt, gemini) as well as metered apis
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Hatchet vs Manifest: At a Glance
Pricing Comparison: Hatchet vs Manifest
Understanding the pricing differences between Hatchet and Manifest is crucial for making the right choice. Here's how their plans compare side by side.
Hatchet Pricing
💡 Pricing takeaway: Both Hatchet and Manifest offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Hatchet and Manifest stacks up.
What Makes Each Tool Unique
🔵 Unique to Hatchet
Features available in Hatchet but not in Manifest:
- ✓Durable execution that resumes rather than restarts
- ✓Cron scheduling, event and webhook triggers, data ingestion
- ✓Idempotency keys and batch tasks
- ✓Run-level observability with status, duration and metadata
- ✓Priced at $10 per million task runs
- ✓Open source and self-hostable, SOC 2 Type II from the free tier
🟣 Unique to Manifest
Features available in Manifest but not in Hatchet:
- ✓Autofix retries, reroutes and repairs broken provider calls before the agent sees them
- ✓Routes to subscription providers (Claude, ChatGPT, Gemini) as well as metered APIs
- ✓MIT-licensed and self-hostable with Docker at no request cap
- ✓Local and custom provider support
- ✓Usage, reliability and cost observability in early access
Use Case Recommendations
Best for: Hatchet
Hatchet is an open-source orchestration platform for AI agents, background tasks and workflows that have to survive failure. The core capability is durable execution: a task's progress is checkpointed so a crash, redeploy or timeout resumes rather than restarts, which is the property that separates an agent you can run in production from one you babysit. Around that sit the operational pieces such systems always need and rarely have — cron scheduling, event and webhook triggers, data ingestion pipelines, idempotency keys, batch tasks, throughput controls measured in requests per second, and observability over every run with searchable status, duration and metadata. The dashboard shown on the homepage is the honest tell about who this is for: teams whose problem is not writing the workflow but knowing which of the last hundred thousand runs failed and why. Hatchet is genuinely open source and can be self-hosted, with cloud plans layered on for teams that would rather not run the infrastructure. The cloud pricing model is a base plus usage at $10 per million task runs with the first 100,000 free, which is unusually easy to reason about for this category — most competitors price on compute-seconds or concurrency slots that require a modelling exercise to convert into a bill. SOC 2 Type II is included from the free tier, with HIPAA and audit logs at Scale, and the platform reports processing over 100 million tasks a day.
Ideal use cases:
- •Teams or individuals who need durable execution that resumes rather than restarts
- •Teams or individuals who need cron scheduling, event and webhook triggers, data ingestion
- •Teams or individuals who need idempotency keys and batch tasks
- •Teams or individuals who need run-level observability with status, duration and metadata
- •Anyone focused on orchestration workflows
- •Anyone focused on durable-execution workflows
Best for: Manifest
Manifest is an open-source LLM router that sits between your agents and whichever providers you use, under an MIT licence with roughly 7.4k GitHub stars. Its distinguishing feature is Autofix: rather than only routing and logging, it retries, reroutes and repairs broken provider calls before the failure ever reaches your agent. That targets a specific and under-served failure mode — agent harnesses tend to handle a 500 or a rate-limit badly, aborting a multi-step run because one upstream call blipped, and the resulting partial work is often unrecoverable. Manifest's second unusual capability is that it routes to subscription providers, not just pay-per-token APIs: Claude, ChatGPT and Gemini consumer or team subscriptions can be used as inference backends alongside metered API keys, local models and custom providers. For anyone already paying for a coding-agent subscription, that removes a duplicate inference bill. Observability — usage, reliability and cost tracking — is in early access. The deployment story is the reason the free tier is genuinely useful rather than a funnel: self-hosting with Docker under the MIT licence has no request cap at all, and the free hosted Cloud tier allows 10,000 routed requests a month with unlimited agents, all providers and no restrictions, seven-day dashboard retention, Autofix, budget alerts and Discord support.
Ideal use cases:
- •Teams or individuals who need autofix retries, reroutes and repairs broken provider calls before the agent sees them
- •Teams or individuals who need routes to subscription providers (claude, chatgpt, gemini) as well as metered apis
- •Teams or individuals who need mit-licensed and self-hostable with docker at no request cap
- •Teams or individuals who need local and custom provider support
- •Anyone focused on llm-gateway workflows
- •Anyone focused on open-source workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Hatchet and Manifest aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is Hatchet better than Manifest?
It depends on your needs. Hatchet offers 6 key features including Durable execution that resumes rather than restarts and Cron scheduling, event and webhook triggers, data ingestion, while Manifest provides 5 features including Autofix retries, reroutes and repairs broken provider calls before the agent sees them and Routes to subscription providers (Claude, ChatGPT, Gemini) as well as metered APIs. Hatchet uses a freemium model with a free tier, while Manifest is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Hatchet cheaper than Manifest?
Hatchet is cheaper, starting at $10/month compared to Manifest's $19/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Hatchet and Manifest together?
Yes, many users combine Hatchet and Manifest in their workflow. Hatchet excels at durable execution that resumes rather than restarts, while Manifest shines with autofix retries, reroutes and repairs broken provider calls before the agent sees them. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Hatchet and Manifest?
While both are ai agent infrastructure tools, Hatchet emphasizes durable execution that resumes rather than restarts, whereas Manifest is known for autofix retries, reroutes and repairs broken provider calls before the agent sees them. The best choice depends on your specific workflow and feature priorities.
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