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Comparison · ai-assistants

ClearML vs Khoj

A side-by-side editorial comparison of ClearML and Khoj — release velocity, themes, recent moves, and the top alternatives to consider.

ClearML vs Khoj: at a glance

FeatureClearMLKhoj
Sectorai-assistantsai-assistants
Velocity score5.00.0
Sparks · 30d00
Top themesexperiment tracking, hyperdatasets, artifact security, storage managerpersonal-ai, long-term-memory, self-hosted, cloud-deprecation
Last editorial update1h ago21d ago
WebsiteVisit →Visit →

What is ClearML?

ClearML is filling in the hyperdataset lifecycle while hardening the SDK against what it loads.

Recent releases pair hyperdataset work with a steady security pass over the SDK's own inputs. 2.1.7 added an opt-out that blocks processing of pickled artifacts via call argument, config key or CLEARML_BLOCK_PICKLED_ARTIFACTS, plus a path-traversal check when import_offline_session extracts a zip; 2.1.6 added integrity-hash verification for pickled DataFrame artifacts; 2.1.8 added a path-traversal check in dataset merging. The hyperdataset API meanwhile keeps accumulating lifecycle operations — tagging, version snapshots, single-call publishing, DataView retrieval, and now entry deletion, metadata get/set, mapping-rule management and an iterator.

Read the full ClearML trajectory →

What is Khoj?

Khoj gave its assistant long-term memory, then started winding down its own cloud.

The 2.0 beta line is doing two things at once. In February it gave Khoj long-term memories, moving the assistant from per-conversation context to knowledge that persists across sessions. Six weeks later it began deprecating Khoj cloud — a banner warning hosted users, and the subscribe option removed from the web app's settings page. The same release upgraded the web app to Next.js 15 and fixed the research agent stopping earlier than it should.

Read the full Khoj trajectory →

ClearML vs Khoj: editorial side-by-side

C
ClearML
AI-ASSISTANTS
5.0

ClearML is filling in the hyperdataset lifecycle while hardening the SDK against what it loads.

◆ Current state

Recent releases pair hyperdataset work with a steady security pass over the SDK's own inputs. 2.1.7 added an opt-out that blocks processing of pickled artifacts via call argument, config key or CLEARML_BLOCK_PICKLED_ARTIFACTS, plus a path-traversal check when import_offline_session extracts a zip; 2.1.6 added integrity-hash verification for pickled DataFrame artifacts; 2.1.8 added a path-traversal check in dataset merging. The hyperdataset API meanwhile keeps accumulating lifecycle operations — tagging, version snapshots, single-call publishing, DataView retrieval, and now entry deletion, metadata get/set, mapping-rule management and an iterator.

◆ Where it's heading

Two things are converging. The hyperdataset API is filling in the operations a dataset abstraction needs before anyone builds on it seriously: create, snapshot, tag, publish, retrieve, iterate, delete. That the newest release is mostly deletion and metadata management says the API is past the demo stage and into the parts people hit in production. Meanwhile the SDK is being treated as something that consumes untrusted input, because in a shared experiment tracker it is: an artifact is a file another user uploaded, and Python's default answer to a pickle is to execute it.

◆ Prediction

Pickle blocking is opt-out today and the notes give no timeline for flipping the default. The clearer near-term threads are Python 2 removal and the f-string migration, both described as work in progress across several releases.

K
Khoj
AI-ASSISTANTS
0.0

Khoj gave its assistant long-term memory, then started winding down its own cloud.

◆ Current state

The 2.0 beta line is doing two things at once. In February it gave Khoj long-term memories, moving the assistant from per-conversation context to knowledge that persists across sessions. Six weeks later it began deprecating Khoj cloud — a banner warning hosted users, and the subscribe option removed from the web app's settings page. The same release upgraded the web app to Next.js 15 and fixed the research agent stopping earlier than it should.

◆ Where it's heading

Khoj is consolidating around the self-hosted product and the model layer beneath it, and stepping back from running the hosted service. Model support has been broadening steadily — Gemini Pro 3, Minimax M2, Nano Banana image editing, configurable fallback models with admin-set priority — while Stability AI image generation was dropped. The client work follows the same logic: Obsidian batch sync, file query filter autocomplete, reference copying, all aimed at people running their own instance against their own files.

◆ Prediction

With subscriptions already disabled and a deprecation banner live, the next step for the hosted service is a shutdown date. The entries stop in late March 2026, so whether 2.0 has left beta since is not visible here.

Alternatives to ClearML and Khoj

Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either ClearML or Khoj.

See all ClearML alternatives → · See all Khoj alternatives →

Recent activity from ClearML and Khoj

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 14h agoClearMLHyperdataset entry deletion, metadata management and mapping rules
  2. 12d agoClearMLIn-memory streaming in the storage manager, DataView retrieval
  3. 12d agoClearMLHPO trial pruning and hashlib usedforsecurity fixes
  4. 2mo agoClearMLHyperdataset version snapshots and a static route validator
  5. 2mo agoClearMLHyperdataset tagging and publishing, plus Azure default credentials
  6. 3mo agoClearMLOpt-out blocking for pickled artifacts and zip path traversal
  7. 4mo agoKhoj2.0.0-beta.28: two small web app fixes
  8. 4mo agoKhoj2.0.0-beta.27: page templates fixed for Starlette 1.0.0
  9. 4mo agoKhoj2.0.0-beta.26 starts deprecating Khoj cloud
  10. 5mo agoKhoj2.0.0-beta.25 gives Khoj long-term memory
  11. 7mo agoKhoj2.0.0-beta.20 adds Nano Banana image editing and model fallbacks
  12. 7mo agoKhoj2.0.0-beta.21 drops Stability AI image generation

Frequently asked questions

What is the difference between ClearML and Khoj?

They serve adjacent needs but don't currently overlap on shipped themes. ClearML is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ClearML better than Khoj?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ClearML is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

What are the best alternatives to ClearML?

Top ClearML alternatives in ai-assistants are ranked by recent ship velocity. Browse the "ClearML alternatives" section above for the current picks, or visit /alternatives/clearml for the full list with editorial commentary on each.

What are the best alternatives to Khoj?

Top Khoj alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Khoj alternatives" section above for the current picks, or visit /alternatives/khoj for the full list with editorial commentary on each.