Exabase vs UltraContext: Which is Better in 2026?
A comprehensive comparison of Exabase and UltraContext covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Exabase if:
- →You need self-managing agent memory system, benchmarked by the vendor as first on two ai-memory benchmarks or bases — isolated per-tenant instances with version rollback
Choose UltraContext if:
- →You want more affordable paid plans (from $100/mo)
- →You need a broader feature set (6 features vs 5)
- →You need background daemon captures sessions from every agent automatically or real-time sync into a single source of truth across agents
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Exabase vs UltraContext: At a Glance
Pricing Comparison: Exabase vs UltraContext
Understanding the pricing differences between Exabase and UltraContext is crucial for making the right choice. Here's how their plans compare side by side.
Exabase Pricing
💡 Pricing takeaway: Both Exabase and UltraContext 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 Exabase and UltraContext stacks up.
What Makes Each Tool Unique
🔵 Unique to Exabase
Features available in Exabase but not in UltraContext:
- ✓Self-managing agent memory system, benchmarked by the vendor as first on two AI-memory benchmarks
- ✓Bases — isolated per-tenant instances with version rollback
- ✓Sub-document multi-modal hybrid search rather than whole-document similarity
- ✓Structured extraction from PDFs, websites, images, audio and video
- ✓Published credit exchange rates per operation, so cost is modellable up front
🟣 Unique to UltraContext
Features available in UltraContext but not in Exabase:
- ✓Background daemon captures sessions from every agent automatically
- ✓Real-time sync into a single source of truth across agents
- ✓Works with Codex, OpenClaw, Antigravity, opencode and Cursor
- ✓Fully open source, installable as a global npm package
- ✓Unlimited storage and contexts even on the free tier
- ✓Analytics over which context is actually queried
Use Case Recommendations
Best for: Exabase
Exabase is context infrastructure for teams building AI agents — the storage, retrieval and memory layer that otherwise gets rebuilt badly in every agent project. Six components make up the platform. Memory is a self-managing memory system the vendor states is first on both of the leading AI-memory benchmarks. Bases are isolated per-tenant instances with version rollback, which is the piece that matters if you are shipping an agent to customers and each tenant's knowledge must stay separated and restorable. Resources hold files, notes and links as a portable context server. Deep Search runs sub-document, multi-modal hybrid search rather than whole-document vector similarity. Extract pulls structured data out of PDFs, websites, images and other formats — the website-to-Markdown endpoint is exposed as a standalone tool. Workers are autonomous agents that enrich a knowledge base on their own schedule. Usage is credit-metered with the exchange rates published plainly: one credit buys roughly 18 PDF extractions, 18 website extractions, 30 audio extractions, 0.8 video extractions, 65 memories, or 10 memories with inference mode enabled, which makes cost modelling possible before you commit. The vendor reports over 100,000,000 pages processed and offers a zero-data-retention policy from the paid tier. Deployment is positioned as production-ready, private by design and security-first, and the vendor runs a demo booking route for teams evaluating whether the platform fits before committing to the credit model.
Ideal use cases:
- •Teams or individuals who need self-managing agent memory system, benchmarked by the vendor as first on two ai-memory benchmarks
- •Teams or individuals who need bases — isolated per-tenant instances with version rollback
- •Teams or individuals who need sub-document multi-modal hybrid search rather than whole-document similarity
- •Teams or individuals who need structured extraction from pdfs, websites, images, audio and video
- •Anyone focused on ai-agents workflows
- •Anyone focused on memory workflows
Best for: UltraContext
UltraContext is open-source context infrastructure for people running several coding agents at once. A background daemon captures sessions from whichever agents you use — Codex, OpenClaw, Antigravity, opencode, Cursor — and syncs them in real time into a unified store, so every agent can query what the others already learned instead of rediscovering your codebase and your decisions from scratch in each new session. It installs as a global npm package and the whole thing is open source, which matters for a tool whose entire value proposition is holding the accumulated working state of your engineering work. The hosted service adds the parts that are annoying to run yourself: managed infrastructure, analytics over what context is actually being queried, and backups with log retention on the paid tier. Pricing is shaped around queries rather than storage, which is the right axis for this product — the free tier gives unlimited storage, unlimited contexts and 1,000 queries a month at no cost forever, and Pro at $100/month raises that to 50,000 queries with higher rate limits, backups and priority support. That is a big gap, and the $100 price point is aimed squarely at people running agents heavily enough to notice; a developer using one agent occasionally will sit on the free tier indefinitely, which appears to be the intent.
Ideal use cases:
- •Teams or individuals who need background daemon captures sessions from every agent automatically
- •Teams or individuals who need real-time sync into a single source of truth across agents
- •Teams or individuals who need works with codex, openclaw, antigravity, opencode and cursor
- •Teams or individuals who need fully open source, installable as a global npm package
- •Anyone focused on context workflows
- •Anyone focused on memory workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Exabase and UltraContext 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 Exabase better than UltraContext?
It depends on your needs. Exabase offers 5 key features including Self-managing agent memory system, benchmarked by the vendor as first on two AI-memory benchmarks and Bases — isolated per-tenant instances with version rollback, while UltraContext provides 6 features including Background daemon captures sessions from every agent automatically and Real-time sync into a single source of truth across agents. Exabase uses a freemium model with a free tier, while UltraContext is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Exabase cheaper than UltraContext?
UltraContext is cheaper, starting at $100/month compared to Exabase's $149/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 Exabase and UltraContext together?
Yes, many users combine Exabase and UltraContext in their workflow. Exabase excels at self-managing agent memory system, benchmarked by the vendor as first on two ai-memory benchmarks, while UltraContext shines with background daemon captures sessions from every agent automatically. 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 Exabase and UltraContext?
While both are ai agent infrastructure tools, Exabase emphasizes self-managing agent memory system, benchmarked by the vendor as first on two ai-memory benchmarks, whereas UltraContext is known for background daemon captures sessions from every agent automatically. The best choice depends on your specific workflow and feature priorities.
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