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ScreenMemory VS Thalam

Compare ScreenMemory VS Thalam and see what are their differences

SM
ScreenMemory

See, and search for, what you did at any point in time on your macOS device's screen

No screenshot yet
Rating
0 reviews
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Alternatives Is it good?
Thalam

OpenAI-compatible API gateway for GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more. One key, one endpoint, one bill. Pay per token, no lock-in.

Rating
0 reviews
Pricing
Freemium Free trial
Promote on VibeVoted
Alternatives Is it good?
Trexinet
Managed AI answering service for home-service businesses. Every call answered 24/7, callers qualified, jobs booked straight onto your calendar. Fully managed setup — we build and tune the call flows. $59/mo + 5¢/min, free 2-week pilot, no contract. sponsored

Which is more popular?

Based on our record, ScreenMemory seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
AI popularity
60% vs 40%
alternatives listed
15 vs 30

Base details

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

SM
ScreenMemory
Thalam
Website screenmemory.app thalam.ai
Pricing
Official pricing
Freemium Free trial Official pricing
Platforms —
REST API Web-based Cloud
Company — 2026
Listed in
Bookmarks AI Monitoring Tools Bookmark Manager +1
API Gateway AI API LLM AI API Tools Developer Tools Machine Learning Developer APIs APIs AI Tools +7

About ScreenMemory and Thalam

In their own words, as submitted to SaaSHub.

SM
ScreenMemory
Thalam

No description of ScreenMemory yet.

Thalam is an OpenAI-compatible API gateway that gives developers a single key and endpoint to call GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more across text, image and video models. Pay per token with one unified bill, no per-provider contracts and no lock-in. Drop it into existing OpenAI...

Read more about Thalam

Features and specs

What each product offers, as listed by its team.

SM
ScreenMemory 5 features
Thalam 6 features
  • User-Friendly Interface
    ScreenMemory boasts an intuitive and easy-to-navigate interface, making it accessible for users of all technical skill levels.
  • Efficient Search Capabilities
    The app provides advanced search functionalities that help users quickly locate specific memories or notes, saving time and enhancing productivity.
  • Multi-Platform Support
    ScreenMemory is available on various platforms, allowing users to access their memories from desktops, tablets, and smartphones seamlessly.
  • Secure Data Storage
    The app prioritizes data security, offering encrypted storage to protect user information and ensure privacy.
  • Automatic Backups
    ScreenMemory automatically backs up user data, reducing the risk of data loss and providing peace of mind.

Possible disadvantages

  • Limited Free Version
    The free version of ScreenMemory offers limited features, potentially necessitating a subscription for full functionality.
  • Inconsistent Syncing
    Some users have reported issues with syncing across devices, which can occasionally lead to data discrepancies.
  • Learning Curve
    While generally user-friendly, new users may experience a slight learning curve when first navigating the app's more advanced features.
  • Resource Intensive
    The app can be resource-heavy, potentially affecting performance on older devices or those with limited processing power.
  • Internet Dependency
    ScreenMemory requires a stable internet connection for certain features, limiting its offline usability.
  • OpenAI-Compatible Endpoint
    Point your existing OpenAI SDK at Thalam by changing the base URL. No rewrites, no new client library, no per-provider SDKs to maintain.
  • One Key for Many Models
    A single API key reaches GPT, Claude, Gemini, DeepSeek, Qwen, Kimi, GLM and more. Switch model by changing one string, with no new account or contract per provider.
  • Text, Image and Video in One API
    The same endpoint serves language, image and video models, so one integration covers text generation, image generation and video generation.
  • Per-Key Spend Caps
    Issue a separate key per app, environment or teammate, each with a hard spend limit. A runaway script stops at its cap instead of draining the balance.
  • Usage and Audit Logs
    Every request is logged with model, tokens and cost, so you can see exactly which app or teammate is spending what.
  • Pay Per Token, No Commitments
    Top up a balance and spend against it per token. One unified bill, no per-provider contracts and no lock-in.

Analysis

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

SM
ScreenMemory
Thalam

No analysis of ScreenMemory yet.

Overall verdict

  • Thalam.ai appears to be an emerging AI-driven platform, and based on available information it shows promise for specific use cases, though it may lack the extensive track record of more established competitors. Suitability depends heavily on your specific needs and technical requirements.

Why this product is good

  • Offers AI-powered capabilities that can streamline certain workflows
  • May provide a modern, user-friendly interface for its target use case
  • Could be cost-effective compared to more established enterprise alternatives
  • Potentially offers innovative features tailored to niche use cases

Recommended for

  • Early adopters willing to try newer AI tools
  • Small to medium businesses or individuals with specific niche needs
  • Users looking for potentially budget-friendly AI solutions
  • Those who prioritize innovation over long-established track records

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
SM
ScreenMemory
Thalam
60% 60%
AI
40% 40%
0% 0%
Developer Tools
100% 100%
100% 100%
Bookmarks
0% 0%
100% 100%
Monitoring Tools
0% 0%

Questions & Answers

As answered by people managing ScreenMemory and Thalam.

How would you describe the primary audience of your product?

Thalam's answer:

Developers and technical teams building AI features who don't want to maintain a separate integration for every model provider, from solo builders and startups to engineering teams at SMEs. There's a particular fit for teams in the GCC and the wider Middle East who want independent, self-serve access to frontier text, image and video models with regional billing support.

What's the story behind your product?

Thalam's answer:

Thalam started from a simple frustration: shipping with multiple AI models meant juggling separate keys, SDKs, billing relationships and rate limits for each provider. Thalam consolidates that into one OpenAI-compatible gateway: one key, one endpoint, one bill. Teams focus on building instead of managing provider plumbing. The goal is production-grade, independent access to the full range of text, image and video models, with first-class support for builders in the GCC.

Which are the primary technologies used for building your product?

Thalam's answer:

Thalam exposes OpenAI- and Anthropic-compatible REST APIs, so it works with the standard OpenAI and Anthropic SDKs and any OpenAI-compatible tooling, including LangChain, LlamaIndex and the Vercel AI SDK. It runs on modern cloud infrastructure with edge routing for low-latency access, and serves text, image and video model endpoints behind a single unified API.

What makes your product unique?

Thalam's answer:

Thalam is an OpenAI-compatible API gateway that puts text, image and video models behind a single key and endpoint. You call GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more through the same OpenAI-style API you already use, so switching models is a one-line change, with one unified bill and per-key spend limits. It's an independent, self-serve, multimodal gateway, which is still uncommon, especially for teams building in the GCC.

Why should a person choose your product over its competitors?

Thalam's answer:

Because Thalam keeps integration simple and portable: one OpenAI-compatible key works across every model and modality, so you can adopt new models without re-plumbing your code or signing separate per-provider contracts. Billing is pay-per-token on a single invoice, with per-key spend limits for governance. Teams that want a single, production-grade integration point tend to find it a clean fit, including those operating in the GCC who value independent, self-serve access.

User comments

Share your experience with using ScreenMemory and Thalam. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

SM
ScreenMemory 1 mention
Thalam 0 mentions
  • Show HN: Dayflow – A Git log for your day
    Given that ScreenMemory [1], an app that automatically records screenshots, has already saved my screen at intervals, it would be great for it to also have this AI summarizing ability. [1]: https://screenmemory.app/. - Source: Hacker News / about 1 year ago

Tracking Thalam since Jun 2026.

Alternatives to ScreenMemory and Thalam

When comparing ScreenMemory and Thalam, you can also consider the following products.

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