anything-llm vs AgentGPT

Common questions

What is the difference between anything-llm and AgentGPT?

anything-llm: Self-hosted AI agent experience. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories.

When should I choose anything-llm over AgentGPT?

Choose anything-llm over AgentGPT when anything-llm is primarily JavaScript; AgentGPT is TypeScript; License: anything-llm is MIT, AgentGPT is GPL-3.0; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.

When should I choose AgentGPT over anything-llm?

Choose AgentGPT over anything-llm when AgentGPT is primarily TypeScript; anything-llm is JavaScript; License: AgentGPT is GPL-3.0, anything-llm is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI.

When should I avoid anything-llm?

If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.

When should I avoid AgentGPT?

Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment

Is anything-llm or AgentGPT more popular on GitHub?

anything-llm has more GitHub stars (66,167 vs 36,297). Stars measure visibility, not whether either tool fits your constraints.

Are anything-llm and AgentGPT open source?

Yes - both are open-source projects on GitHub (anything-llm: MIT, AgentGPT: GPL-3.0).

Where can I find alternatives to anything-llm or AgentGPT?

GraphCanon lists graph-backed alternatives at anything-llm alternatives and AgentGPT alternatives (anything-llm markdown twin, AgentGPT markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, anything-llm or AgentGPT?

anything-llm: Very active. AgentGPT: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for anything-llm and AgentGPT?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; AgentGPT trust report.