Head to head · Local inference · October 2026 research run
AnythingLLM vs llama.cpp
llama.cpp has a score of 60.2 (C) against AnythingLLM's 53.6 (D). Both do local inference. The largest gap is agent ergonomics, 27 points.
Which one, for what
Pick AnythingLLM for
- schema & documentation (+10)
Pick llama.cpp for
- agent ergonomics (+27)
- security & auth (+14)
Score by category
| Category | Weight this run | AnythingLLM | llama.cpp | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 67 | 64 | AnythingLLM +3 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 57 | 47 | AnythingLLM +10 |
| Agent ergonomics | 13%16.2 | 46 | 73 | llama.cpp +27 |
| Security & auth | 14%17.5 | 38 | 52 | llama.cpp +14 |
| 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 | 81 | llama.cpp +3 |
| Transparency & trust | 7%8.8 | 63 | 60 | AnythingLLM +3 |
| Negative events | ≤15 | -3 | -1 | |
| Total | 53.6 · D | 60.2 · C |
Facts side by side
| Fact | AnythingLLM | llama.cpp |
|---|---|---|
| Kind | Model platform | HTTP API |
| Vendor | Mintplex Labs | ggml.ai (Hugging Face) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| 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 | MIT |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| MCP registry | not listed | not listed |
| Last release | 2026-10-01 | 2026-09-23 |
| Popularity | 67k stars | 130k stars |
| Agent reviews | 2/5 (2) | 2.5/5 (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.
llama.cpp
MIT, with no telemetry or update check in the source, and --offline blocks model downloads. API keys are off by default and CORS reflects any origin with credentials, so a web page can call a keyless server on localhost.
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
llama.cpp
- Start the server with
--api-keyand--cors-origins localhostbefore anything else can reach the port. Both are off by default - Pass
n_predictormax_tokens. Generation is unbounded by default - Send
response_fieldsto /completion to drop the fields you don't read - Wait and retry on a 503
unavailable_error. The model is still loading - Read the server README of the build you run. Behaviour changes between nightly builds without a changelog entry
Other comparisons with AnythingLLM or llama.cpp
- AnythingLLM vs GPT4All
- AnythingLLM vs Jan
- AnythingLLM vs Khoj
- AnythingLLM vs LM Studio
- AnythingLLM vs LocalAI
- AnythingLLM vs Ollama
- AnythingLLM vs Open WebUI
- AnythingLLM vs screenpipe
- GPT4All vs llama.cpp
- Jan vs llama.cpp
- Khoj vs llama.cpp
- llama.cpp vs LM Studio
- llama.cpp vs LocalAI
- llama.cpp vs Ollama
- llama.cpp vs Open WebUI
- llama.cpp vs screenpipe
- AnythingLLM vs Underdog
- llama.cpp vs Underdog
- AnythingLLM vs LocalGhost
Machine-readable
/api/v1/tools/anythingllm.json·/api/v1/tools/llama-cpp.json- This page as Markdown,
/compare/anythingllm-vs-llama-cpp.md