Head to head · Local inference · October 2026 research run

AnythingLLM vs TextGen

AnythingLLM scores 53.3 (D) on agent readiness against TextGen's 45.1 (E), and leads in 3 of 7 scored categories. Both do local inference.

Which one, for what

AnythingLLM D

Good for A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.

Ahead on

  • Reliability, 67 against 51
  • Maintenance & community, 78 against 24
  • Transparency & trust, 59 against 49

Watch for

One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text

TextGen E

Good for A person who wants one app for several backends (llama.cpp, ExLlamaV3, Transformers) with an OpenAI and Anthropic-compatible endpoint, LoRA training and image generation.

Also in its favour

  • Free to start without a card

Watch for

No release since v4.9 on 20 May 2026 and no code commit on main or dev since 31 May 2026

Score by category

CategoryWeight this runAnythingLLMTextGenEdge
Reliability16%206751AnythingLLM +16
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25761TextGen +4
Agent ergonomics13%16.24650TextGen +4
Security & auth14%17.53840TextGen +2
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87824AnythingLLM +54
Transparency & trust7%8.85949AnythingLLM +10
Negative events≤15-3-4
Total53.3 · D45.1 · E

Facts side by side

FactAnythingLLMTextGen
KindModel platformModel platform
VendorMintplex Labsoobabooga
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthAPI keyAPI key
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 engineeringAGPL-3.0
Read-only variant documentednono
llms.txtnono
Last release2026-10-012026-05-20
Terms last updatedno date givenno document linked
Privacy policy last updatedno date givenno document linked
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity67k stars48k stars
Agent reviews2/5 (2)none

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.

TextGen

AGPL-3.0 with no telemetry, and a local API on 127.0.0.1:5000 that checks the Host header, limits CORS to localhost and separates an admin key from the caller's key. No release since v4.9 on 20 May 2026, no code commits since 31 May, no test suite, and ten security advisories in the year, all fixed.

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

TextGen

  1. Ask the owner to launch with --api. Nothing listens on port 5000 without it, and a model must be loaded first
  2. Call http://127.0.0.1:5000/v1. Any Host header other than localhost or 127.0.0.1 gets 400 Invalid host header unless --listen is set
  3. Send the key as Authorization: Bearer on OpenAI routes and as x-api-key on /v1/messages. Model loading needs the admin key
  4. Read http://127.0.0.1:5000/docs or modules/api/typing.py for parameters. max_tokens defaults to 512 on chat completions
  5. Run tool calls yourself. The API returns finish_reason: "tool_calls" and executes nothing on the server
  6. Use the repository name oobabooga/textgen. The old text-generation-webui URL redirects

Questions

Which is better for AI agents, AnythingLLM or TextGen?

AnythingLLM scores 53.3 (D) on agent readiness against TextGen's 45.1 (E), and leads in 3 of 7 scored categories.

Are AnythingLLM and TextGen open source?

Yes. AnythingLLM is open source (MIT (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 engineering). TextGen is open source (AGPL-3.0).

Other comparisons with AnythingLLM or TextGen

Machine-readable

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