Software Alternatives, Accelerators & Startups

Unabyss VS AllCode

Compare Unabyss VS AllCode and see what are their differences

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Unabyss logo Unabyss

Shared memory across all apps and LLMs. In Claude.

AllCode logo AllCode

Your team for everything in the cloud!
  • Unabyss
    Image date //
    2026-07-15
  • Unabyss
    Image date //
    2026-07-15
  • Unabyss
    Image date //
    2026-07-15
  • Unabyss
    Image date //
    2026-07-15
  • Unabyss
    Image date //
    2026-07-15

Set it up once and never re-explain yourself to AI again. Connect the apps you use daily - Unabyss will extract, structure, and update your context automatically. Share it with any AI tool via MCP, with granular control over what each tool can see.

  • AllCode Landing page
    Landing page //
    2021-11-12

Unabyss

$ Details
paid Free Trial $15.0 / Monthly (Pro plan)
Release Date
2026 May
Startup details
Country
Poland
Employees
1 - 9

AllCode

Pricing URL
-
$ Details
-
Release Date
-

Unabyss features and specs

  • MCP-First Context Layer
    Connect once and serve your context to any AI tool (Claude, Cursor, custom agents) over MCP, REST, or function calling โ€” no more re-explaining yourself or maintaining manual .md files.
  • Multi-Store Context Graph
    Ingested data is cleaned, chunked, tagged, versioned, and linked via a graph + RAG + semantic-search stack โ€” the structuring and retrieval layer raw MCP connectors don't give you.
  • 30+ integrations
    The platform seems to aim for a streamlined user experience, reducing complexity for its target audience.
  • Granular Permissions & Domain Separation
    iOS-style per-app permissions, Business vs Private scope separation, security tiers (Public/Internal/Sensitive/Confidential), plus audit trail and one-click revoke.
  • Freshness & Conflict Handling
    Diff detection, full version history, and newest-version-wins conflict resolution keep context current; refine outdated data by chatting with the agent for automatic updates.

AllCode features and specs

  • AWS Advanced Consulting Partner
    AllCode is an AWS Advanced Consulting Partner, which demonstrates a high level of expertise and certification in Amazon Web Services, giving clients confidence in their cloud infrastructure capabilities.
  • Broad Technology Expertise
    AllCode offers a wide range of services including cloud migration, DevOps, AI/ML, serverless architecture, and custom software development, making them a versatile partner for diverse technology needs.
  • Focus on Modern Technologies
    The company emphasizes cutting-edge technologies such as generative AI, large language models, and serverless computing, positioning clients to take advantage of the latest innovations in the tech landscape.
  • End-to-End Development Services
    AllCode provides full-cycle development services from consulting and strategy through implementation and ongoing support, allowing clients to work with a single partner throughout their project lifecycle.
  • Startup and Enterprise Support
    AllCode works with both startups and enterprise clients, offering scalable solutions that can grow with a business, and they have experience helping startups build MVPs as well as helping larger organizations modernize their infrastructure.

Possible disadvantages of AllCode

  • Limited Public Brand Recognition
    Compared to larger consulting firms like Accenture or Deloitte, AllCode has relatively limited brand recognition, which may make some enterprise decision-makers hesitant to engage them for large-scale projects.
  • Smaller Team Size
    As a smaller boutique consultancy, AllCode may have limited bandwidth to handle multiple large-scale projects simultaneously, potentially leading to longer wait times or resource constraints during peak periods.
  • Limited Public Case Studies
    There is a relatively limited number of detailed public case studies or client testimonials available, making it harder for prospective clients to thoroughly evaluate their track record and results.
  • AWS-Centric Focus
    While their AWS expertise is a strength, their heavy focus on AWS could be a drawback for organizations committed to other cloud platforms like Microsoft Azure or Google Cloud Platform who need multi-cloud or alternative cloud expertise.
  • Geographic Limitations
    As a US-based company, clients in other regions may face challenges related to time zone differences and localized support, which could impact communication and project turnaround for international engagements.

Analysis of Unabyss

Overall verdict

  • I don't have verified, up-to-date information about a product or service called 'Unabyss' at unabyss.com, so I can't confirm its legitimacy, quality, or safety. Before using or purchasing anything from this site, please conduct independent research.

Why this product is good

  • I do not have reliable data on this specific domain or brand in my training information
  • The name may correspond to a newer, niche, or region-specific service I have no verified details about
  • There is potential risk in assessing unfamiliar websites without checking for red flags like business registration, reviews, and security certificates
  • Providing an inaccurate assessment could be misleading, so caution is recommended over speculation

Recommended for

  • Anyone considering this site should first check independent reviews on platforms like Trustpilot or Reddit
  • Users who verify site legitimacy through WHOIS lookups, SSL certificates, and business registration details
  • Shoppers who confirm secure payment methods and clear return/refund policies before purchasing
  • Individuals who research company contact information and customer service responsiveness prior to engaging

Analysis of AllCode

Overall verdict

  • AllCode is a software development and consulting agency offering services such as custom software development, blockchain solutions, AI/ML integration, and digital product design; it appears to be a legitimate mid-sized development shop with a solid track record, though as with any agency, results depend on the specific project scope and team assigned.

Why this product is good

  • Offers a broad range of technical services including web/mobile development, blockchain, and AI integration under one roof
  • Has experience working with startups and established businesses across multiple industries
  • Provides consulting alongside development, which can help clients refine product strategy before building
  • Portfolio suggests hands-on experience with emerging technologies like blockchain and smart contracts

Recommended for

  • Startups needing an end-to-end development partner for MVPs or full products
  • Businesses looking to integrate blockchain or AI/ML capabilities into existing systems
  • Companies seeking a single vendor for both technical consulting and implementation
  • Organizations without in-house technical teams who need outsourced development expertise

Unabyss videos

Unabyss Demo

AllCode videos

No AllCode videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Unabyss and AllCode)
AI
100 100%
0% 0
Software Development
0 0%
100% 100
Productivity
100 100%
0% 0
AWS
0 0%
100% 100

Questions & Answers

As answered by people managing Unabyss and AllCode.

What makes your product unique?

Unabyss's answer

Unabyss isn't just MCP connectors bolted onto keyword search. It's a full context layer that sits between your tools and your AI: it ingests data from 30+ sources, then cleans, chunks, tags, versions, and connects it into a multi-store context graph (graphs + RAG + semantic search). Your AI tools โ€” Claude, Cursor, any agent โ€” pull the right slice of context on demand over MCP, so you never re-explain yourself and never maintain manual .md files again. The structuring and retrieval layer is the moat; raw MCP connectors don't do it.

Why should a person choose your product over its competitors?

Unabyss's answer

Most memory tools (Mem0, Letta, Supermemory, Cognee, Personal.ai) or platform-native memory (ChatGPT/Claude/Gemini) lock your context inside one place or treat it as a flat store. Unabyss is MCP-first and portable: your context lives in one user-owned layer and works across every AI tool at once. You get diff-based ingestion so only what changed re-syncs, full version history with newest-version-wins conflict resolution, and iOS-style granular permissions that keep personal and company context cleanly separated โ€” with an audit trail and one-click revoke. It's the difference between a memory feature and a context infrastructure you control.

How would you describe the primary audience of your product?

Unabyss's answer

Two core personas. First, Builders โ€” developers, AI consultants, and technical PMs who are MCP-native and already wiring up agents and automations; they activate through MCP naturally. Second, AI Enthusiasts โ€” founders, operators, marketers, and growth people who use AI every day and are tired of re-explaining their context across tools. We're expanding from this prosumer wedge toward small teams (5โ€“15 people), where the value shifts to a shared "company brain" and cross-project memory.

What's the story behind your product?

Unabyss's answer

Unabyss began with a simple thesis: people should own a portable context layer that any AI tool can use. We started with content creation as the wedge โ€” an AI ghostwriter with a deep-interview mode that captured how someone actually thinks and works โ€” and hit $12.5K MRR at $500+ ARPU in seven months. But users kept telling us the magic wasn't the writing; it was that "it knows me." They started asking why their other tools couldn't start from that same context. That pull pushed us to build the full context vault and go all-in on MCP: the real "wow" isn't a vault UI, it's Claude or Cursor instantly having your context with zero copy-paste. We launched on Product Hunt in May 2026 and hit #1 Product of the Day.

Which are the primary technologies used for building your product?

Unabyss's answer

Backend: Django 6 + Django REST Framework Web (product + marketing): SvelteKit โ€” app.unabyss.com and unabyss.com Database: PostgreSQL (including Neon) Distribution: MCP server (primary), plus REST API and OpenAI function-calling adapters Integrations: 30+ native connectors Infrastructure: Docker Compose, VPS deployment behind nginx with SSL

Who are some of the biggest customers of your product?

Unabyss's answer

  • Over 1,000 users relying on Unabyss as their AI context layer
  • Founders, operators, and AI power users across 30+ connected tools

User comments

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Social recommendations and mentions

Based on our record, AllCode seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Unabyss mentions (0)

We have not tracked any mentions of Unabyss yet. Tracking of Unabyss recommendations started around Jun 2026.

AllCode mentions (2)

  • Software Development Services | Allcode
    Software development services is the process of creating and maintaining the various components of software, including applications and frameworks. Source: over 3 years ago
  • Front end and back end developer
    Looking for hiring thefront and backend developer? Contact with Allcode and get the best full stack developers at best price in the USA. For more details contact us now. Source: over 4 years ago

What are some alternatives?

When comparing Unabyss and AllCode, you can also consider the following products

Confluo.in - One shared memory for every AI you use. Carry context between Claude, ChatGPT and Gemini โ€” and stop re-explaining your project every time you switch.

BaseThread - One shared context every AI tool your team uses reads and writes over MCP, so Claude Code, Cursor and ChatGPT stay current together.

Supermemory - ai second brain for all your saved stuff

Claude by Anthropic - A family of foundational AI models

mcp skills - Let AI agents extend themselves with skills

Nia - AI code agent that actually understands your codebase