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PermitGrab VS Agentmemory

Compare PermitGrab VS Agentmemory and see what are their differences

PermitGrab

Source-dated public building-permit records for construction research.

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Rating
0 reviews
Pricing
Paid Free trial $149 / Monthly (Flat rate, all cities, unlimited leads)
Alternatives Is it good?
Agentmemory

Persistent memory for Claude Code, Codex & coding agents

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Rating
0 reviews
Alternatives Is it good?
CallFlow.dev
AI role-play training for sales and call center teams: 700+ realistic scenarios, six caller temperaments, instant five-dimension scoring and coaching. Cut ramp time up to 40% without practicing on real customers. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Real Estate Data popularity
100% vs 0%
alternatives listed
13 vs 50

Base details

Website, pricing, platforms and company facts side by side.

PermitGrab
Agentmemory
Website permitgrab.com agent-memory.dev
Pricing
Paid Free trial $149 / Monthly (Flat rate, all cities, unlimited leads) Official pricing
—
Platforms
Web
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Company Startup from the United States · 1 - 9 employees · 2026 —
Listed in
Construction Project Management Lead Generation Real Estate Data Construction Construction Management Business & Commerce Sales Tools Sales Sales And Marketing +6
AI Developer Tools Productivity Utilities +1

About PermitGrab and Agentmemory

In their own words, as submitted to SaaSHub.

PermitGrab
Agentmemory

PermitGrab organizes source-dated building-permit records from covered U.S. jurisdictions. Available fields and update schedules vary by city; each city page shows its source date, scope, and published record roles. Subscribers can monitor public project activity in selected markets and decide...

Read more about PermitGrab

No description of Agentmemory yet.

Features and specs

What each product offers, as listed by its team.

PermitGrab 9 features
Agentmemory 5 features
  • Daily permit digest
    One ranked email each morning with the day’s new filings for your cities
  • Coverage
    800+ US cities across all 50 states, refreshed daily
  • Data sources
    Official municipal and county open data (ArcGIS, Socrata, CKAN, Accela, Tyler EnerGov)
  • Contractor contacts
    Business name and phone number attached where a match exists
  • Code violations
    Open enforcement cases tied to property and owner
  • Property-owner records
    Owner name, mailing address and phone where available
  • Filtering
    By city, trade, project value, permit type and date
  • CSV export
    CRM-ready export of any filtered view
  • Lead exclusivity
    Not resold — no bidding against other contractors for the same job
  • Simple API
    Agentmemory provides a straightforward and minimal API for creating, searching, updating, and deleting memories, making it easy for developers to integrate memory capabilities into AI agents without dealing with complex configurations.
  • Built on ChromaDB
    It leverages ChromaDB as its underlying vector database, providing reliable semantic search and embedding capabilities out of the box without requiring developers to set up separate infrastructure.
  • Lightweight and Easy to Install
    Agentmemory is a lightweight Python package that can be installed via pip with minimal dependencies, making it quick to get started with and easy to incorporate into existing projects.
  • Category-Based Memory Organization
    Memories can be organized into categories (topics), allowing agents to store and retrieve information in a structured way, which helps with context management and retrieval accuracy.
  • No Server Required
    Agentmemory can run entirely locally without needing a separate server or cloud service, making it suitable for development, prototyping, and privacy-sensitive applications where data should stay on the local machine.

Possible disadvantages

  • Limited Ecosystem and Community
    Agentmemory is a relatively niche and small project with a limited community compared to more established memory and vector database solutions, which means fewer resources, tutorials, and community support are available.
  • Basic Feature Set
    While simplicity is a strength, the library may lack advanced features such as sophisticated memory consolidation, decay mechanisms, importance scoring, or complex querying capabilities that more mature memory frameworks offer.
  • Tight Coupling to ChromaDB
    Being built specifically on ChromaDB means developers are locked into that particular vector store and cannot easily swap it out for alternatives like Pinecone, Weaviate, or FAISS without significant refactoring.
  • Limited Scalability
    As a locally-run, lightweight solution, Agentmemory may not scale well for production applications that require handling large volumes of memories, high concurrency, or distributed deployments.
  • Sparse Documentation and Examples
    The project's documentation, while covering the basics, may lack comprehensive examples, best practices, and advanced usage patterns that developers need when building complex agent-based systems.

Analysis

An editorial look at what each product does well and who it suits.

PermitGrab
Agentmemory

No analysis of PermitGrab yet.

Overall verdict

  • AgentMemory (agent-memory.dev) appears to be a solid, purpose-built solution for developers who need persistent memory management in AI agent applications, offering a focused feature set for storing, retrieving, and managing contextual data across agent sessions.

Why this product is good

  • Provides dedicated memory persistence for AI agents, enabling context retention across sessions and conversations
  • Designed specifically for the agentic AI use case, which can simplify development compared to building custom memory layers
  • Likely offers developer-friendly APIs and SDKs to integrate memory capabilities quickly
  • Can improve agent performance by allowing recall of past interactions, user preferences, and long-term context
  • Reduces boilerplate work for teams building conversational or autonomous AI systems

Recommended for

  • Developers building AI agents or LLM-powered applications that require long-term memory
  • Teams creating conversational assistants that need to remember user context across sessions
  • Startups and companies prototyping autonomous or multi-step agent workflows
  • Engineers seeking a managed memory layer instead of building persistence infrastructure from scratch
  • Projects involving personalized AI experiences that depend on retained user data and history

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
PermitGrab
Agentmemory
100% 100%
Real Estate Data
0% 0%
12% 12%
AI
88% 88%
100% 100%
Lead Generation
0% 0%
0% 0%
Developer Tools
100% 100%

Questions & Answers

As answered by people managing PermitGrab and Agentmemory.

What's the story behind your product?

PermitGrab's answer

Building permits are public record everywhere in the United States. Anyone can go and read them. In practice almost nobody does, because there is no such thing as 'the permit database' - there are hundreds of separate municipal and county systems, each on different software, each with a different schema, and most with no way to ask the only question a contractor actually cares about: what is new since yesterday?

So the information sits there, free and public, and the contractor who could use it finds out about the job weeks later, if at all.

PermitGrab exists to close that gap. The hard part was never getting a permit record. It was doing it every day, across hundreds of jurisdictions that change their endpoints without warning, and turning inconsistent municipal records into something a roofer can act on before breakfast.

What makes your product unique?

PermitGrab's answer

PermitGrab combines three public records that are normally sold separately, or not sold at all: building permits, code-enforcement violations, and property-owner contacts. Most permit tools stop at the permit. Pairing a filing with the violation history on that property and the owner of record is what turns an address into a conversation.

The other difference is the delivery model. It is one ranked email each morning rather than a dashboard you have to remember to check, and it is a flat monthly rate rather than per-lead pricing. Leads are not resold, so you are not calling a homeowner who just heard from seven other contractors.

Why should a person choose your product over its competitors?

PermitGrab's answer

It depends what you are comparing against.

Against lead-generation marketplaces such as Thumbtack, HomeAdvisor or Angi: those sell you a shared lead that several contractors receive at once, priced per lead. PermitGrab is a flat monthly rate and the records are not resold, because they are public filings rather than a homeowner form submission. You are reaching out first instead of competing on response time.

Against construction data platforms such as BuildZoom, Shovels or ConstructConnect: those are generally built for enterprise research, analytics or commercial project intelligence, and are priced accordingly. PermitGrab is aimed at the individual contractor who wants to know what got filed in their city this morning, and it adds code violations and property-owner contacts alongside the permit rather than the permit alone.

Against checking the county portal yourself: the data is genuinely free and public. The work is that it is spread across hundreds of separate municipal systems with different formats, and none of them tell you what changed today.

How would you describe the primary audience of your product?

PermitGrab's answer

Small and mid-sized contractors who sell into residential and light commercial work, and who do their own prospecting.

The clearest fits are roofing, HVAC, plumbing, electrical, general contracting, remodeling, restoration, solar, fencing, concrete and landscaping. A new-construction permit means every one of those trades has work coming. A re-roof permit means a solar installer has a fresh roof to quote.

It also works for building-material suppliers and manufacturer reps who want to know which builders are active in a territory, and for investors and agents who use code-enforcement records to find owners with a reason to sell.

It is a poor fit for anyone who needs national enterprise coverage with an SLA, or who wants commercial project intelligence at the pre-bid stage. That is a different product category.

Which are the primary technologies used for building your product?

PermitGrab's answer

  • Python and Flask for the application and the collection daemons
  • PostgreSQL for the permit, violation, contractor and property-owner records
  • Render for hosting, split across a web service and a background worker
  • Stripe for billing and Resend for the daily digest delivery

On the ingestion side the work is mostly adapters rather than a single framework. Municipal data arrives through ArcGIS FeatureServer and MapServer endpoints, Socrata, CKAN, Accela ACA portals, Tyler EnerGov self-service, OpenGov and a handful of one-off formats, so each source gets its own field mapping and freshness check.

User comments

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