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PMB 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 PMB and Weavable side by side. This page compares data; it is not a hands-on review.

On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison 29 user reviews compared

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:

PMB

Local-first AI memory for coding agents. Recall context instantly

Best for you if:

  • • You want a fully free tool (Weavable requires payment)

Weavable

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

Best for you if:

  • • You want enhances AI agent capabilities with memory and context
At a glance: PMB vs Weavable
At a Glance
PMB PMB
Weavable Weavable
Starts at
Free 100% free
Free plan
Category
Developer Tools Data & Databases
Developer Tools AI Agents
Rating
n/a 4.6/5 G2 4.6 29 reviews
Free plan
Yes Yes

Choose PMB or Weavable?

PMB

Choose PMB if

  • You want a fully free tool (Weavable requires payment)
  • You want fully local and open-source (Apache-2.0), no data leaves your machine, no API keys needed
  • You want works across multiple AI coding agents (advanced models, Cursor, Zed) without losing context
Weavable

Choose Weavable if

  • 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

PMB PMB

Local-first AI memory for coding agents. Recall context instantly

Strengths

  • Pro: Fully local and open-source (Apache-2.0), no data leaves your machine, no API keys needed
  • Pro: Works across multiple AI coding agents (advanced models, Cursor, Zed) without losing context
  • Pro: Fast hybrid recall (minimal latency) with no LLM call on the read path, keeping latency minimal

Weaknesses

  • Con: Requires initial setup and configuration for each agent (though simplified with pmb connect commands)
  • Con: Focused on AI coding agents; may not be designed for general AI assistant memory (e.g., chat bots outside coding)

Key features

Automatic memory injection before the model thinks (pre-read) and journaling after actions (post-write) Hybrid recall with BM25, dense vector embeddings, entity graph, and optional reranker fused via Reciprocal-Rank-Fusion Sub-millisecond async writes: returns instantly to agent, embeds and vector storage happen in background thread Memory scoring: tracks whether each lesson is followed by the agent; flags ignored lessons as dead Interactive local dashboard with entity graph map, timeline (git-graph style), and overview No LLM call on the read path; optional summarization and graph extraction can run on local Ollama models

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

Key Takeaways

PMB

  • Choose if you want local-first AI memory for coding agents. Recall context instantly

Weavable

  • Choose if you want give your AI agents persistent memory and context for more effective, long-running tasks

What the data shows

On the data below the two are close or not directly comparable, so we do not name a winner for this pair.

  • Only Weavable has a published user rating (4.6/5 from 29 reviews); PMB has none we can show.
  • Both have 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 PMB and Weavable compare in 2026?

On the data below the two are close or not directly comparable, so we do not name a winner for this pair. Only Weavable has a published user rating (4.6/5 from 29 reviews); PMB has none we can show. Both have a free plan.

What are PMB and Weavable used for?

PMB: Local-first AI memory for coding agents. Recall context instantly. Weavable: Give your AI agents persistent memory and context for more effective, long-running tasks.

What does PMB cost vs Weavable?

PMB is free. Weavable has no public paid-plan price on file.

What's the main difference between PMB and Weavable?

PMB's main strength: fully local and open-source (Apache-2.0), no data leaves your machine, no API keys needed. Weavable's main strength: enhances AI agent capabilities with memory and context.

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