ChatGPT Plugin

Unabyss

Your context layer for AI

Brand: Unabyss

Category: AI
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer

Integration details

Description

Unabyss is your personal context layer for AI. Connect the apps you already use — LinkedIn, your website, Notion, Gmail, Slack, GitHub — and Unabyss extracts, structures, and keeps your context up to date automatically. Then any AI tool you use, including ChatGPT, can pull exactly the right context when you need it. No more re-explaining your role, your projects, your tone, or your company at the start of every conversation. Your context lives in one place, stays current as your sources change, and travels with you across every AI tool you use. What you get: Auto-extraction from your existing tools in under 90 seconds Structured context files you fully own — persona, voice, company, and more Granular permissions: share your writing voice without exposing professional details One-click exports for investor updates, meeting prep, bios, and ICPs Always up to date as your connected sources sync Built for founders, operators, and builders who live across multiple AI tools and are tired of starting from zero every time. If you've ever thought "ChatGPT should already know this" — that's what Unabyss fixes.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: AI
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer
Secondary Subcategories: None listed
Brand: Unabyss
Access: Account required
First tracked: 2026-07-28
Tool count: 21
Geography: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

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ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competing in ChatGPT Enterprise Knowledge Search & AI Context Layer

View Category

Listed in alphabetical order

Primary Subcategory

AgentContextComing soonGet notified

Algolia ProductivityComing soonGet notified

Analytics BrainComing soonGet notified

ArchiveyeComing soonGet notified

AtlanComing soonGet notified

UnabyssComing soonGet notified

Tools

21 tools agents can invoke

Deep reasoning over the user's full context -- synthesis, comparison, or reflective analysis. If processing exceeds 30s, returns a query_id for polling via agentic_query_read.
Poll for a pending agentic_query result by query_id. Returns the answer if ready, or pending status.
Create a new export on a topic. Multi-minute background generation -- only on explicit user request. Accepts either a free-text topic or a preset_slug (not both).
Save text as an export without generation. Instant and free. Use when the user asks to save a response or summary.
List the user's exports (topic-scoped markdown dossiers). Returns id, title, status, and a staleness flag.
Read the full markdown content of a specific export by ID. The export must be in 'ready' status.
Regenerate an existing export against the latest knowledge base. Multi-minute -- only on explicit user request.
Permanently forget specific memories. Requires explicit user confirmation before calling. Get memory_ids from the search tool (not query). Envelope IDs come from store's changed sources / search source_id. Pass either memory_ids (point IDs) or envelope_ids (source IDs). Exactly one must be provided. Caps: 50 memory_ids / 20 envelope_ids. Forgotten facts cannot resurface even after re-import. Fact-level forget hides the fact from search and query, but archive text can still appear in verbatim hits and exports until the envelope is forgotten. Does not purge the identity summary (whoami).
Load a skill by slug (as returned by list_skills). With type 'markdown' (default) returns the playbook body plus any supporting-file paths; with type 'skill-file' returns a link to download the packaged .skill bundle (for clients that install skills by uploading the file).
List the user's connected integrations and catalog apps they can still connect. Returns `connected` rows (one per live connection with sync metadata) and `available` rows (catalog apps not yet connected). Use when the user asks about integrations, connections, or data availability.
List available skills -- step-by-step playbooks for common tasks. Returns each skill's slug, name, and description. Consult this when a user task may match a skill, then load it with get_skill.
Generate a one-click connect URL for a specific app. Use when the user wants to connect a new data source.
Look up personal context. Use when the user references themselves, their work, preferences, or prior decisions. Returns a compiled text answer. For deep synthesis or reflective analysis, use agentic_query instead.
Read a skill's supporting file by slug and relative path (as listed in get_skill). Returns the file's text content.
Read the full text of a live source. Pass provider plus the opaque source_id minted by search_sources. Do not pass a raw Google file, thread, event, or tl;dv meeting id, a Calendar day-agenda key, or a raw GitHub owner/repo/path or issue number. Providers: google_drive, gmail, google_calendar, tldv, github. Use after search_sources when the user needs the body or full transcript rather than a search hit.
Semantic search over the user's knowledge base. Returns a JSON list of hits with memory_id, source_id/source_ids, score, fingerprint, and truncated chunk_text. Permission-filtered tokens cannot call search; use query (sanitized) instead. Use to locate memory_ids before forget (not query). Default limit 8.
Search live connected apps by keywords. Providers: google_drive, gmail, google_calendar, tldv, github. Drive uses keyword search (fullText contains), not Vectorize. Gmail uses Gmail search q (not the ingest promo/noreply filter). Calendar requires ISO time_min and time_max (max 31 days) and uses Google events.list q; empty Calendar query lists that window. tldv is a capped in-process title and date filter (not a search API): case-insensitive substring on meeting name, optional time_min/time_max on happenedAt, empty query lists the cap. github is the GitHub Search API over selected repos (code, issues, and pull requests); a non-empty query is required. Use after a memory miss, a named file/thread/event/meeting/issue/PR, recency, or full transcript/body. Optional account_id and limit (default 8, max 20). Returns hits with provider, kind, source_id, title, occurred_at, url, in_memory, plus truncated. No bodies. Then call read_source with source_id. If the app is not connected, call propose_connection. Do not scrape Drive, Gmail, Calendar, tl;dv, or GitHub URLs.
Persist a durable fact about the user -- preference, decision, project, role, or tool choice. Stored for retrieval across AI tools.
Optional, step-based setup for this connection. Call with no argument (or step 'step1') to offer the user setup, then advance in order: 'step2' to connect apps (uses `list_integrations` / `propose_connection`); 'step3' to ask what to save back to Unabyss; 'step4' with `context_preference` for the system prompt; then 'first-prompt' with `instructions_installed` to finish - it records setup as complete, unblocks every tool, and offers the user a first thing to run. Use 'completed' or 'skipped' only when the user stops early, and only after they explicitly choose - never decide that yourself (either way, future setup prompts stop on this connection). Skills are not part of the flow: only if the user asks for skills, 'step5' browses them and 'all-skills', 'essential-skills', or '<category>-skills' (e.g. 'sales-skills') list them with install instructions.
Replace the user's identity summary. Requires explicit user confirmation before calling.
Returns the user's identity summary -- name, role, and key facts. Free and instant (DB read only).

FAQs

Unabyss ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Unabyss's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Unabyss alternatives on ChatGPT?

As of 2026-10-26, Unabyss competes with AgentContext, Algolia Productivity, Analytics Brain, Archiveye, Atlan, BitsWeave, BuildBetter.ai, Business Helper and 59 more in ChatGPT Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.