Unabyss

In plain words

Unabyss is a context management layer that automatically extracts and maintains updated information from connected apps, then shares it with AI tools through the Model Context Protocol. Users set it up once to avoid repeatedly explaining their situation to different AI assistants. It offers granular controls so each AI tool can access only specific, relevant information. The service is designed for people who work with multiple AI assistants and want to streamline how their personal context is shared across different platforms.

written from the facts on this page · September 2026

From the sources

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.

Shared memory for all your AI agents. Built from the tools you use - Gmail, Slack and more - then made portable across Claude, ChatGPT and every agent via MCP.

Your complete context in every AI you use. Connect once and never explain yourself to AI again. Claude is AI and can make mistakes. Please double-check responses. Unabyss is an official connector in Claude's directory. Add it in one click, send one message, and every conversation pulls your real context. Open a new chat in Claude and send this. Unabyss walks you through the rest right there. You run ChatGPT for some things, Claude for others, maybe Cursor or Gemini too - and each is a blank slate to the rest. What you figured out in one is invisible to the next. Your work is sitting in Slack, Gmail, Notion, Calendar, GitHub - but AI can't extract information from there, so you keep…from unabyss.com

• 
  OpenMemory MCP2025 · mem0.ai · ▲379

  Sync memory across AI's so they pick up where you left off.

• 
  Dawiso AI Context LayerJan 2026 · dawiso.com · ▲82

  Connect AI agents to governed metadata via MCP

• OS
  Open-Source MCP Server for Context and AI Tools2025 · ▲43

  Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…

• 
  Spydr2025 · spydr.dev · ▲139

  Github for LLM context. One memory, infinite possibilities.

• 
  An MCP server that gives LLMs temporal awareness and time calculation2025 · github.com · ▲91

  This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude&#x2F;GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location &#x2F;…

• 
  Mcp-Agent – Build effective agents with Model Context Protocol2025 · github.com · ▲80

  Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https:&#x2F;&#x2F;github.com&#x2F;lastmile-ai&#x2F;mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 17d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 16d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 18d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 20d ago · stillwet.art

• 
  Onepin▲384

  AI voiceover with every name, price and date said right

  AI · 30d ago · onepin.ai

• 
  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 28d ago · world.pixverse.video

• 
  Brew ▲900

  Like Claude design for email marketing

  AI · May 2026 · brew.new

• 
  Kilo Code for VS Code▲896

  Parallel agents, diff reviewer, and multi-model comparisons

  Dev tools · May 2026 · kilo.ai

• 
  StoreClaw▲806

  Grow your store profits with agents that know how to sell

  AI · May 2026 · storeclaw.ai

• 
  PollyReach▲795

  Give your agent a real number and voice to make calls.

  AI · May 2026 · pollyreach.ai

• 
  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok&#x2F;s prefill and 1200 tok&#x2F;s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

• 
  Files.md – Open-source alternative to Obsidian▲730

  🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md

  Dev tools · May 2026 · github.com