Unabyss
Give every AI agent one shared, live context memory built from your Slack, Gmail, Notion, and GitHub.
Unabyss solves a real pain: your AI agents don't share context. The MCP-first design and permission controls are genuinely useful, though it's not for non-technical users. If you're developer-friendly and juggle multiple tools, it's worth the free trial. For advanced setups, the Max plan at $79/mo offers unlimited agents and accounts—compare with alternatives like Mem0 or basic MCP servers if price-sensitive.
Verified 5d ago · liveness 84/100 · cite: rightaichoice.com/tools/unabyss
- Builders and vibe coders using multiple AI coding agents (Claude, Cursor, Codex)
- Knowledge workers who rely on scattered tools for project context
- Teams wanting a single source of truth for AI interactions
- Solopreneurs managing personal and work data across apps
- Users who only use one AI tool and one data source
- Enterprise teams needing on-premises deployment
- Those seeking a full-blown memory system with long-term embeddings
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Skip Unabyss if you use a single AI tool with built-in memory and don't juggle multiple agents or data sources—the setup overhead isn't worth it for a solo one-tool workflow.
Upgrading to Pro costs $13/mo (annual) after the 7-day free trial; if you need more than 3 connected agents, you must jump to Max at $79/mo.
Unabyss pricing starts with a 7-day free trial, then Pro at $13/mo (annual) fits solo builders and small teams, while Max at $79/mo suits power users. Compared to Mem0 (free tier but memory-only) or building your own MCP server, Unabyss is pricier but saves engineering time for multi-agent setups.
In short
Unabyss — Give every AI agent one shared, live context memory built from your Slack, Gmail, Notion, and GitHub. Best for Builders and vibe coders using multiple AI coding agents (Claude, Cursor, Codex), Knowledge workers who rely on scattered tools for project context, Teams wanting a single source of truth for AI interactions. Free to start; paid plans from $1315/mo.
What's new in Unabyss
Checked 5 days agoAcross the latest 5 updates: 5 feature updates.
v1.16.0 Agent setup for Vellum, Hermes, and file-based agents
Added dedicated setup for Vellum Assistant and Hermes; file-based agents now auto-install the system prompt.
v1.15.0 Multiple Google accounts and Drive sync scope
Connect multiple Gmail, Drive, and Calendar accounts; pick exactly what each Drive account syncs; clearer agent connection state on MCP setup.
v1.14.0 Upload files and connect agent in onboarding
Onboarding adds file upload and 'Connect your agent' step; fixes Team billing, MCP docs layout, mobile agent cards.
v1.13.0 MCP setup handoff and Obsidian sync fix
MCP setup now three steps with guided first prompt; Obsidian and Trello sync work again after 'Clear all context'.
v1.12.0 Clearer account deletion and Obsidian sync fixes
Delete-account and Clear all context dialogs detail what gets removed; Obsidian upload reliability fixed; deletion revokes MCP access.
What people actually say about Unabyss — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
16 mentions across 1 source (Product Hunt) · researched Jul 2, 2026.
- +MCP-native architecture enables context portability across AI tools seamlessly.
- +Structured context files give users full ownership and ability to correct errors.
- +Three-layer segmentation (personal, professional, confidential) provides granular access control.
- +Intelligent compression reduces token usage up to 10x, lowering costs.
- +Continuous sync from multiple sources keeps context fresh with minimal manual effort.
- −No persistent memory across sessions — context layer only, not memory.
- −Unclear sync interval for context freshness — real-time or periodic?
- −No automatic adaptation to changing user roles or communication style.
- −Users lack tools to evaluate how well Unabyss connects data correctly.
- −No integration for WhatsApp Business, a primary tool in some regions.
- • No hidden costs reported; potential cost if exceeding free tier source limits.
Viability Score
How well maintained and how widely used is Unabyss? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- MCP server access for any MCP-compatible agent
- One-click Claude connect via official connector
- One-click ChatGPT connect via official plugin
- Context sync across 25+ apps (Slack, Gmail, Notion, GitHub, etc.)
- Structured memory with tagging by topic, sensitivity, and source
- Intelligent context compression up to 10x token reduction
- Granular permission layer with four scopes
- Source exclusion per app, item, or sensitivity
- Per-agent MCP setup status display
- MCP Activity log with read, write, and auth events
- Shareable Skills Library pages
- Obsidian two-way sync
- Website sync for public pages
- Google Calendar sync with calendar selection
- Per-memory cost limit to cap large file imports
About Unabyss
Unabyss is a universal context layer that syncs your daily tools—Slack, Gmail, Notion, GitHub, and 25+ more—into one structured memory, then serves that context to any MCP-compatible agent like Claude, ChatGPT, Cursor, and Gemini. Instead of re-explaining your projects or preferences in every chat, Unabyss pulls relevant, tagged context automatically, so each AI starts with the full picture. It's built for builders, founders, and agencies running multiple AI agents whose tools don't talk to each other—what you figure out in one AI stays invisible to the rest. Key features include intelligent context compression that cuts token usage by up to 10x, granular permission scopes (no restriction, exclude private, exclude confidential, exclude source), per-agent MCP setup status, and a shareable Skills Library. Recent updates add one-click connect for Claude via an official connector and ChatGPT via an official plugin, plus a dedicated MCP activity log that tracks read, write, and auth events. Unabyss structures context by topic, sensitivity, and source, and pulls only the relevant slice—not a flat dump—so your AIs get richer, more precise input. Unlike built-in memory (ChatGPT Memory, Claude Memory) that stays trapped in a single tool, Unabyss works across all your agents as a neutral layer you own. You can export it, move it between models, or take it with you. With 900,000+ items synced by users and support for 10+ AI tools, it positions itself as the missing link between your scattered context and every AI you use.
Behind the Verdict
Unabyss hits a genuine gap: every AI agent you use starts from zero, ignoring the context living in your Slack, Gmail, Notion, and GitHub. It's not a memory feature bolted onto one model—it's a neutral layer that any MCP-compatible agent can query, which means you can switch from Claude to ChatGPT without losing the knowledge you've already built. The permission scopes are a standout: you can exclude private emails or confidential files when using AI in public demos, giving you control that built-in memories don't offer. The context compression (up to 10x) is a practical win for token-heavy workflows, and the activity log gives you visibility into what your agents are reading. However, this isn't a plug-and-play tool. It requires MCP setup, which can be technical, especially for agents like Codex or Gemini that still need manual configuration. Some integrations are in beta or 'Soon,' and the free tier caps at 100 items, so you'll quickly need a paid plan. If you're a solo user with one AI and one source, the overhead isn't worth it—built-in memory is simpler. But if you're a founder or agency juggling multiple agents and tools, Unabyss saves hours of re-explaining and keeps your context live. The recent updates—Google multi-account support, Vellum/Hermes setup, and clearer onboarding—show active development, but note SOC 2 Type II is still 'in progress,' so enterprise buyers should wait if compliance is critical.
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Real-world workflow fit
Concrete scenarios for the personas Unabyss actually fits — and what changes day-one when you adopt it.
You code with Claude Code and Cursor daily. You connect GitHub, Linear, and Notion to Unabyss once, then every new session on either agent pulls recent commits, open tickets, and design docs without you re-explaining.
Outcome: Your coding agents start each session with the full project context, so you spend less time prompting and more time shipping.
You run a startup and use ChatGPT for investor updates and Claude for strategy. You connect Gmail, Slack, and Calendar to Unabyss, so both AIs know your latest metrics and meeting notes automatically.
Outcome: You draft investor updates and weekly reports in minutes, with both AI tools referencing the same live context—no copy-pasting between apps.
You manage multiple clients and need each AI response grounded in the right account. You set up separate Unabyss memory per client, excluding confidential files, so each client's AI answers stay isolated.
Outcome: You maintain context separation across clients, ensuring accurate, compliant responses for every account—saving hours of manual context-switching.
Use Cases
- Keep your AI coding agent updated with latest GitHub commits, Linear tickets, and Notion docs without manual prompting.
- Export your entire personal context map (meetings, emails, notes) to any LLM chat for more informed answers.
- Filter sensitive work emails and private calendar events when using AI in public demos or screen sharing.
- Sync meeting notes from Fathom/Fireflies into your AI's context so it can answer questions about past conversations.
- Give your AI full access to your Google Drive and Slack archives, while excluding company confidential files.
- Agencies: keep each client's context separated, so every AI response is grounded in the right account.
Models Under the Hood
as of 2026-08-19
Limitations
- Unabyss syncs context across a wide range of AI agents and data sources, but some integrations are still in beta or listed as 'Soon' (e.g., Trello, OneNote).
- The tool requires connecting via MCP or plugin, which may involve technical setup.
- Free tier limits (100-item cap) and plan limits apply; specific caps are detailed in the pricing pages.
- While the recent Claude and ChatGPT connectors simplify setup, agents like Codex or Gemini may still require manual MCP configuration.
- The shared context is as accurate as the sync from your sources; occasional import indexing issues have been reported (addressed in v1.8.2 and v1.11.2).
as of 2026-08-18
Verification history
We have re-verified Unabyss 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Unabyss tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
New users who want to test Unabyss for 7 days without a credit card, connecting up to 3 agents and 20 accounts on the free trial.
What this tier adds
Free entry point: includes a 7-day free trial of the Premium usage tier, with no credit card required.
Pro
$13/mo (annual) or $15/mo (monthly)
Ideal for
Individuals and solo entrepreneurs who plug AI into daily work, need up to 3 connected agents and 20 accounts, and want premium features without extra costs.
What this tier adds
Adds Premium usage tier and no additional costs beyond the monthly/annual fee; starts at $13/mo annual.
Max
$79/mo (annual) or $89/mo (monthly)
Ideal for
Power users who live in AI all day and need unlimited agents, unlimited connected accounts, and multi-account support for Google apps.
What this tier adds
Unlocks unlimited agents and accounts, multi-account Google support, unlimited usage, and early access to new features.
Team
$39/seat/mo (annual) or $49/seat/mo (monthly)
Ideal for
Teams that need a shared workspace with central seat and invoice management, requiring at least 3 seats.
What this tier adds
Includes everything in Max for every seat, plus shared workspace, invite by email, and central management—at $39/seat/mo annual.
Where the pricing makes sense
The company stage and team size where Unabyss's pricing actually pencils out — and where peers do it cheaper.
Unabyss pricing starts with a 7-day free trial, then Pro at $13/mo (annual) fits solo builders and small teams, while Max at $79/mo suits power users. Compared to Mem0 (free tier but memory-only) or building your own MCP server, Unabyss is pricier but saves engineering time for multi-agent setups.
Setup time & first value
How long it actually takes to get something useful out of Unabyss — broken out by persona, not the marketing-page minute.
Most users can connect their first source (e.g., Gmail) in under 10 minutes via the one-click connectors for Claude and ChatGPT. Connecting multiple sources and configuring MCP agents may take 30-60 minutes, especially if you use Codex or Gemini which require manual setup. Non-technical users should budget more time.
Switching to or from Unabyss
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Notion AI or ChatGPT Memory: export your notes or memories as files, then upload them via the onboarding 'Pick your apps' step or sync from integrated apps directly.
- ↗To a self-hosted MCP server: you can export your context via Unabyss's export feature (not specified in scrape), then point your agents to your own server.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Featured Head-to-Head Comparisons
Unabyss vs Spider Cloud
Spider Cloud wins for users needing fast, reliable web data extraction at scale, especially for RAG and AI agent training. Unabyss is better for those who want to unify their existing app data into AI context without manual syncing. Choose based on whether your bottleneck is external web data or internal fragmented context.
Unabyss vs Temporal Ai
Choose Temporal AI if you need rock-solid durability and recovery for multi-step AI workflows—especially with human-in-the-loop or Saga patterns. Unabyss wins when your pain is fragmented context across tools like Slack, Notion, and Gmail, and you want every AI agent (Claude, Cursor, ChatGPT) to see the same up-to-date picture. They solve different problems: reliability vs. context freshness.
Unabyss vs Presto Voice
If you run a QSR chain with drive-thrus and want to boost revenue via voice AI, Presto Voice is the clear pick — it's purpose-built for that use case with proven ROI. If you're a builder or knowledge worker juggling multiple AI agents and data sources, Unabyss solves the stale-context problem with a self-updating, MCP-connected layer. They serve entirely different needs; choose based on your domain.
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