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pumaDB vs Weavable: Pricing and Ratings Compared (2026)

Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for pumaDB and Weavable side by side. This page compares data; it is not a hands-on review.

On the data: On the data below, Weavable leads on a free plan. We do not name an overall winner for this pair.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison 29 user reviews compared Pricing checked Oct 17, 2026

Short on time? Here's the quick answer

Based on published vendor pricing and features and on public review data, here's who should pick what:

pumaDB

AI agent memory, simplified. No database admin needed

Best for you if:

  • • You want eliminates the need for manual database setup and management for agent memory

Weavable

Give your AI agents persistent memory and context for more effective, long-running tasks.

Best for you if:

  • • You want a free tier before you commit
At a glance: pumaDB vs Weavable
At a Glance
pumaDB pumaDB
Weavable Weavable
Starts at
From $99/mo flat, billed monthly Organization Pro plan
Free plan
Category
Developer Tools Data & Databases
Developer Tools AI Agents
Rating
n/a 4.6/5 G2 4.6 29 reviews
Free plan
No Yes

Choose pumaDB or Weavable?

pumaDB

Choose pumaDB if

  • You want eliminates the need for manual database setup and management for agent memory
  • You want simplifies integration with AI agents via hosted MCP
Weavable

Choose Weavable if

  • You want a free tier before you commit
  • You want enhances AI agent capabilities with memory and context
  • You want facilitates the development of more sophisticated and autonomous AI agents

In-Depth Analysis

pumaDB pumaDB

AI agent memory, simplified. No database admin needed

Good value

At $99/month for up to 100 users, pumaDB's Organization Pro is very affordable per seat, but the 250 MB shared storage and 2,500-row limits are tight for teams with larger memory needs.

Strengths

  • Pro: Eliminates the need for manual database setup and management for agent memory.
  • Pro: Simplifies integration with AI agents via hosted MCP.
  • Pro: Provides built-in safety and reviewability for agent memory with versioning and limits.
  • Pro: Supports various types of structured memory relevant to agent operations.
  • Pro: Offers both agent-facing and server-side API access for flexibility.

Weaknesses

  • Con: Memory storage is deliberately small and explicit, which might not suit very large data storage needs.
  • Con: Rate limits could be restrictive for applications requiring very high-frequency writes or reads per key.
  • Con: Focuses specifically on JSON records, limiting other data types.

Key features

Hosted Managed Connector Protocol (MCP) endpoint for agents REST API for server-side applications Durable storage for JSON records (facts, state, settings, scratchpads) Automatic version history for updates and deletes (last 10 versions for 30 days) Scoped table limits (20 tables, 1,000 rows per table) Per-key rate limits (30 writes/min, 60 reads/min)

Weavable Weavable

Give your AI agents persistent memory and context for more effective, long-running tasks.

Strengths

  • Pro: Enhances AI agent capabilities with memory and context.
  • Pro: Facilitates the development of more sophisticated and autonomous AI agents.
  • Pro: Improves consistency and personalization in AI interactions.

Weaknesses

  • Con: Requires integration into existing AI agent architectures.
  • Con: Potential complexity in managing persistent context for very large-scale applications.
  • Con: Specific pricing details are not immediately visible on the homepage.

Key features

Persistent work context for AI agents Long-term memory for AI models State management across AI interactions Contextual understanding for AI agents Learning and adaptation capabilities for AI

Plans and prices: pumaDB vs Weavable

Plans and prices of pumaDB and Weavable, as read on each vendor's pricing page. Each plan keeps its own billing unit.
Tool Plans and prices Source
pumaDB
  • Organization Pro: $99/mo flat, billed monthly
pumadb.ai/pro read Oct 17, 2026
Weavable No plan prices on file weavable.ai/pricing

Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on pumaDB pricing and Weavable pricing.

Key Takeaways

pumaDB

  • Choose if you want AI agent memory, simplified. No database admin needed

Weavable

  • Has a free plan

What the data shows

On the data below, Weavable leads on a free plan. We do not name an overall winner for this pair.

  • Only Weavable has a published user rating (4.6/5 from 29 reviews); pumaDB has none we can show.
  • pumaDB starts at $99/mo flat, billed monthly; Weavable has no public paid plan price on file.
  • Only Weavable has a free plan.

Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate

Frequently Asked Questions

How do pumaDB and Weavable compare in 2026?

On the data below, Weavable leads on a free plan. We do not name an overall winner for this pair. Only Weavable has a published user rating (4.6/5 from 29 reviews); pumaDB has none we can show. pumaDB starts at $99/mo flat, billed monthly; Weavable has no public paid plan price on file. Only Weavable has a free plan.

What are pumaDB and Weavable used for?

pumaDB: AI agent memory, simplified. No database admin needed. Weavable: Give your AI agents persistent memory and context for more effective, long-running tasks.

What does pumaDB cost vs Weavable?

pumaDB's cheapest paid plan is Organization Pro at $99/mo flat, billed monthly. Weavable has no public paid-plan price on file. Prices read on the vendors' pricing pages, latest check Oct 17, 2026.

What's the main difference between pumaDB and Weavable?

pumaDB's main strength: eliminates the need for manual database setup and management for agent memory. Weavable's main strength: enhances AI agent capabilities with memory and context.

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