anything-llm vs AutoGPT
AutoGPT is much bigger: 187.7k stars against 67.3k. Over the days we have tracked them anything-llm moved +5.7% and AutoGPT +1.1%, so anything-llm is growing faster right now.
anything-llm leads on context depth and noise control. AutoGPT does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
An all-in-one, local-first no-code agent platform that bundles chat, agents, vector DBs, desktop and web deployments, and dynamic model routing—beyond libraries that only provide primitives.
- Stars
- 67.3k
- Tracked growth
- +5.7%
- Maturity
- ●●●●●
- Last commit
- 10h ago
- Language
- JavaScript
- License
- MIT
- Cost to run
- Self-hosted (free); external LLM API costs apply.
Provides both a managed, no-API-key hosted platform and an open-source self-hostable agent runtime with a visual builder and marketplace.
- Stars
- 187.7k
- Tracked growth
- +1.1%
- Maturity
- ●●●●●
- Last commit
- 13m ago
- Language
- Python
- License
- NOASSERTION
- Cost to run
- Paid hosted service; self-hosted uses your infrastructure and model-provider costs
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | anything-llm | AutoGPT |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Whole-repo analysis | ●●●●● Workspace-level access |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Basic routing & filters | ●●●●● None mentioned |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Rich rules & plugins | ●●●●● Visual builder & marketplace |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Runs fully local | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Any provider or local | ●●●●● Bring your own key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● Quick start / one-click | ●●●●● One-click hosted |
Which one to pick
Pick anything-llm if…
Privacy-first — runs locally by default with support for local LLMs and full self-hosting while still integrating cloud providers when needed.
- Context depth: Whole-repo analysis (5/5 against 3/5)
- Noise control: Basic routing & filters (3/5 against 1/5)
Pick AutoGPT if…
Flexible deployment — use the managed platform for instant agents or self-host to retain control over infrastructure, data, and model keys.
What people want from each one
Mintplex-Labs/anything-llm
Hacker News: Show HN: AnythingLLM – Open-Source, All-in-One Desktop AI Assistant drew 368 points and 77 comments.
Significant-Gravitas/AutoGPT
Hacker News: AI Report #4: AutoGPT And Open-source lags behind Part 2 drew 60 points and 36 comments.
Questions people ask
Is anything-llm better than AutoGPT?
anything-llm leads on context depth and noise control. AutoGPT does not take any axis by a clear margin. anything-llm is worth picking when privacy-first — runs locally by default with support for local LLMs and full self-hosting while still integrating cloud providers when needed.
Which of anything-llm and AutoGPT keeps my code private?
anything-llm: Runs fully local (5/5). AutoGPT: Self-hostable (4/5).
What does each one cost to run?
anything-llm: Self-hosted (free); external LLM API costs apply.. AutoGPT: Paid hosted service; self-hosted uses your infrastructure and model-provider costs.
Full profiles: Mintplex-Labs/anything-llm and Significant-Gravitas/AutoGPT. Everything else in Low-code builders.