Faharas — The AI Index · Announcement
The AI ecosystem,
indexed.
Faharas is a working reference for artificial intelligence. Every significant resource — a model, a company, a tool, an agent, a paper, a benchmark — receives one canonical record, with facts tied to sources and change kept with history. Discover, compare, test, save, and work with the field from a single trustworthy index.
Launching 14 November 2026
One email when the index goes live. No spam.
About Faharas01
What is Faharas
Faharas is an index — not a directory of links, and not a feed of announcements. Each significant AI resource receives one canonical record: the facts, the relationships, the provenance, and the current state of the thing, verified and traceable. Because every resource has a single identity, it can appear in search, in a comparison, or in your own library without ever being duplicated or contradicted.
Faharas is designed to carry you through the whole AI lifecycle — from first discovery to everyday use:
One canonical record, eight working surfaces — every way the index is put to use.
Index
The structured system at the center: identities, types, canonical records, and relationships.
Directory
Browse and discover every indexed resource, by type, category, and tag.
Search
Retrieve across the whole index by name, alias, capability, or company.
Explore
Cross-resource discovery by use case, topic, category, and curated collections.
Knowledge
Guides, papers, courses, benchmarks, and comparisons — the how and why.
Updates
News, releases, and per-resource change records, with history kept.
Playground
Run supported models and prompts, compare outputs, save experiments.
Workspace
Persistent project environments for documents, tasks, files, and real work.
02
What you will find
One canonical record per resource, classified consistently and connected through explicit relationships — never a separate page for every copy of the same thing.
AI Models
The field's foundational models — capabilities, context windows, pricing, and provenance. One record per model, across every provider route.
Companies & Labs
The organizations and researchers who build, own, and operate the field's resources.
AI Tools
Software that puts models to work — from AI code editors to everyday assistants.
AI Agents
Autonomous assistants and multi-step workflows — what they use, and what they integrate with.
MCP Servers
The protocol endpoints that connect models, tools, and agents to data and services.
APIs & SDKs
Programmatic access to the index's models and services, with routes and documentation.
Frameworks & Libraries
The code that makes the field practical to build on, classified by capability and license.
Prompts & Skills
Reusable starting points and agent abilities, shared by the community and kept current.
Datasets
The data behind the models, the benchmarks, and the research — sourced and traceable.
Papers, Guides & Courses
Knowledge about the field — curated, reviewed, and kept up to date.
Benchmarks & Comparisons
Evaluation with a published methodology — not marketing claims.
Leaderboards & Updates
How the field moves: rankings with explicit metrics, and every change with history kept.
03
One platform, twelve parts
Faharas is not a stack of unrelated directories. It is a single information system organized into twelve platform areas — all reading from the same canonical index.
Entities
Foundational canonical entities — AI Models and Companies, the identities everything else references.
Directories
Discover products, services, software, integrations, and technical resources.
Libraries
Reusable public Prompts, Skills, Templates, and Datasets.
Knowledge
Learn, research, evaluate, and compare — through Guides, Papers, Courses, and Benchmarks.
Explore
Cross-resource discovery by Use Case, Topic, Category, Tag, and Collection.
Updates
Time-sensitive change — News, Releases, and resource-specific Update records.
Leaderboards
Rank comparable resources with explicit metrics, methodologies, and historical snapshots.
Playground
Execute supported models and prompts, compare outputs, measure usage, save experiments.
Faharas Tools
First-party writing, conversion, AI, developer, and productivity utilities.
Personal Platform
My Library, saved resources, Collections, sharing, contributions, and versioning.
AI Connections
Providers, credentials, routing, usage, cost attribution — your keys, your control.
Workspaces
Persistent project environments: documents, tasks, files, experiments, collaboration.
04
What you can do
Beyond reading, the index is built to be used — here is what you can do with it.
Discover
Browse the index, or search across everything in it — by name, alias, category, tag, or capability.
Compare
Put resources side by side — on facts, not claims.
Test
Run supported models in the Playground, as a guest or with your own keys.
Save & organize
Build a personal library, keep Collections, and follow what changes.
Work
Bring the index into your projects — with notes, files, tasks, and history.
Follow
Track releases, benchmarks, and changes — with the history of the field kept intact.
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Why an index
Four principles keep the index consistent, honest, and useful as the field moves.
One record per resource
A model, a tool, or a company exists once in the index. Search, comparisons, and your library all read the same record — nothing is copied, so nothing contradicts.
Facts, checked
Release dates, pricing, context windows, and licenses are tied to their sources. Faharas scores and rankings are labeled as our own derived measures — claims and evidence stay apart.
Change, tracked
Merges, renames, deprecations, and price changes keep their history. A reference written today stays understandable after the field moves on.
Boundaries, explicit
Canonical public data, community contributions, private data, workspace state, and AI credentials are governed separately — they connect only through explicit, auditable workflows.
We open on
14 November 2026.
Faharas — The AI Index
Until then, leave an email. We will write once — when the index goes live.