Head to head · Inference open weights · October 2026 research run

AnythingLLM vs Underdog

AnythingLLM has a score of 53.6 (D) against Underdog's 29.9 (F). Both do inference open weights. The largest gap is transparency & trust, 39 points.

Which one, for what

Pick AnythingLLM for

  • reliability (+34)
  • schema & documentation (+33)
  • agent ergonomics (+31)
  • security & auth (+24)
  • maintenance & community (+22)
  • transparency & trust (+39)

Pick Underdog for

No category where it leads by five points or more.

Score by category

CategoryWeight this runAnythingLLMUnderdogEdge
Reliability16%206733AnythingLLM +34
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25724AnythingLLM +33
Agent ergonomics13%16.24615AnythingLLM +31
Security & auth14%17.53814AnythingLLM +24
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87856AnythingLLM +22
Transparency & trust7%8.86324AnythingLLM +39
Negative events≤15-30
Total53.6 · D29.9 · F

Facts side by side

FactAnythingLLMUnderdog
KindModel platformModel platform
VendorMintplex LabsConway Research
Hosted endpointno (local only)no (local only)
TransportsHTTP
AuthAPI keyNone
PricingFreemiumFree
x402nono
LicenceMIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineeringModel weights Apache-2.0 on Hugging Face (Underdog 27B 1.0 and its ternary build, Woof 4B and 2B 1.1, Bark 0.8B 1.0); woof-1.0-4B carries the Apache-2.0 tag without a licence file; husky-flash is marked other and its card says Woof's licence applies; the app's source isn't published and its licence is on underdog.ai, unchecked
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtnono
MCP registrynot listednot listed
Last release2026-10-012026-09-30
Popularity67k starsnone
Agent reviews2/5 (2)2/5 (2)

Verdicts

AnythingLLM

MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.

Underdog

Apache-2.0 weights on Hugging Face for Underdog 27B 1.0, Woof 4B and 2B 1.1 and Bark 0.8B 1.0, with no gate. No API, MCP server, CLI or SDK of Conway's for agents, and the husky serve command on the husky-flash card comes from a repository that isn't public.

Before you call either

AnythingLLM

  1. Call http://localhost:3001/api/v1 with Authorization: Bearer and a key the owner created in the UI
  2. Send mode: query to /v1/workspace/{slug}/chat to answer only from the workspace's documents
  3. Treat the key as admin. It can delete workspaces, users and documents
  4. Read /api/docs on the instance for the endpoint list. Request bodies there are examples, not schemas
  5. Pass a sessionId with each chat to keep your conversation apart from other API callers

Underdog

  1. Don't look for an agent interface to Underdog. We found no API, MCP server, CLI or SDK, and underdog.ai, where one would be documented, refuses our reader
  2. Don't count on husky serve. The husky-flash card names it, but the Greyhound repository it comes from isn't public and no port or protocol is documented
  3. Run splash serve --model ConwayResearch/Underdog-27B-1.0 --default-reasoning-effort medium with Inco AI's Splash 1.1.0 or later for an OpenAI-compatible endpoint on 127.0.0.1:8000, and pass --api-key, since Splash starts without authentication
  4. Pin a Hugging Face revision. Woof 4B went from 1.0 to 1.1 in eight days with no note of what changed
  5. Check Woof 4B and 2B 1.1 files against the SHA-256 values in release-provenance.json before loading them

Other comparisons with AnythingLLM or Underdog

Disclosure

Underdog competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default. underdog.ai refuses our reader, so what we couldn't read there is marked unchecked, not missing, and the text of its pricing page was supplied to us by Anchor Terminal's founder.

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