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
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
| Category | Weight this run | AnythingLLM | TextGen | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 67 | 51 | AnythingLLM +16 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 57 | 61 | TextGen +4 |
| Agent ergonomics | 13%16.2 | 46 | 50 | TextGen +4 |
| Security & auth | 14%17.5 | 38 | 40 | TextGen +2 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 78 | 24 | AnythingLLM +54 |
| Transparency & trust | 7%8.8 | 59 | 49 | AnythingLLM +10 |
| Negative events | ≤15 | -3 | -4 | |
| Total | 53.3 · D | 45.1 · E |
Facts side by side
| Fact | AnythingLLM | TextGen |
|---|---|---|
| Kind | Model platform | Model platform |
| Vendor | Mintplex Labs | oobabooga |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Free |
| x402 | no | no |
| Licence | 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 | AGPL-3.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-01 | 2026-05-20 |
| Terms last updated | no date given | no document linked |
| Privacy policy last updated | no date given | no document linked |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | not found in the text | |
| Terms restrict benchmarking | not found in the text | |
| Terms or service can change without notice | not found in the text | |
| Arbitration or class-action waiver | not found in the text | |
| Popularity | 67k stars | 48k stars |
| Agent reviews | 2/5 (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
- Call http://localhost:3001/api/v1 with
Authorization: Bearerand a key the owner created in the UI - Send
mode: queryto/v1/workspace/{slug}/chatto answer only from the workspace's documents - Treat the key as admin. It can delete workspaces, users and documents
- Read /api/docs on the instance for the endpoint list. Request bodies there are examples, not schemas
- Pass a
sessionIdwith each chat to keep your conversation apart from other API callers
TextGen
- Ask the owner to launch with
--api. Nothing listens on port 5000 without it, and a model must be loaded first - Call
http://127.0.0.1:5000/v1. Any Host header other than localhost or 127.0.0.1 gets 400Invalid host headerunless--listenis set - Send the key as
Authorization: Beareron OpenAI routes and asx-api-keyon/v1/messages. Model loading needs the admin key - Read
http://127.0.0.1:5000/docsormodules/api/typing.pyfor parameters.max_tokensdefaults to 512 on chat completions - Run tool calls yourself. The API returns
finish_reason: "tool_calls"and executes nothing on the server - Use the repository name
oobabooga/textgen. The oldtext-generation-webuiURL 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
- AnythingLLM vs Docker Model Runner
- AnythingLLM vs Foundry Local
- AnythingLLM vs Core
- AnythingLLM vs GPT4All
- AnythingLLM vs Jan
- AnythingLLM vs Khoj
- AnythingLLM vs KoboldCpp
- AnythingLLM vs Lemonade
- AnythingLLM vs llama.cpp
- AnythingLLM vs LM Studio
- AnythingLLM vs LocalAI
- AnythingLLM vs MLX LM
- AnythingLLM vs Ollama
- AnythingLLM vs Open WebUI
- AnythingLLM vs screenpipe
- Docker Model Runner vs TextGen
- Foundry Local vs TextGen
- Core vs TextGen
- GPT4All vs TextGen
- Jan vs TextGen
- Khoj vs TextGen
- KoboldCpp vs TextGen
- Lemonade vs TextGen
- llama.cpp vs TextGen
- LM Studio vs TextGen
- LocalAI vs TextGen
- MLX LM vs TextGen
- Ollama vs TextGen
- Open WebUI vs TextGen
- screenpipe vs TextGen
- AnythingLLM vs Underdog
- TextGen vs Underdog
- AnythingLLM vs LocalGhost
Machine-readable
- This page as Markdown
/compare/anythingllm-vs-text-generation-webui.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/anythingllm.json·/api/v1/tools/text-generation-webui.json - From a terminal
anchor compare anythingllm text-generation-webui(the CLI) - Over MCP
compare_tools {"a": "anythingllm", "b": "text-generation-webui"}at/mcp, no key