--- title: "aquila vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-mintplex-labs-anything-llm" tools: ["aquila-network-aquila", "mintplex-labs-anything-llm"] --- # aquila vs anything-llm *GraphCanon updated Jul 11, 2026* ## Verdict Pick aquila when aquila is primarily HTML; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; aquila is HTML. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [anything-llm](https://anythingllm.com) has 63k stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [aquila](/tools/aquila-network-aquila.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search. | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 379 | 63,100 | | Forks | 26 | 6,907 | | Open issues | 13 | 320 | | Language | HTML | JavaScript | | Adopt for | - | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Computer Vision, Inference & Serving, Vector Databases | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aquila](/tools/aquila-network-aquila.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 796d | 0d | | Open issues (now) | 13 | 320 | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose aquila if… - aquila is primarily HTML; anything-llm is JavaScript. - Tags unique to aquila: approximate-nearest-neighbor-search, aquila, embedding, faiss. - Also covers Computer Vision, Vector Databases. ### Choose anything-llm if… - anything-llm is primarily JavaScript; aquila is HTML. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm. - Also covers AI Agents. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ## When NOT to use aquila - Last GitHub push was 796 days ago (dormant maintenance, May 6, 2024). Validate activity before betting a new project on aquila. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## Common questions ### What is the difference between aquila and anything-llm? aquila: An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories. ### When should I choose aquila over anything-llm? Choose aquila over anything-llm when aquila is primarily HTML; anything-llm is JavaScript; Tags unique to aquila: approximate-nearest-neighbor-search, aquila, embedding, faiss; Also covers Computer Vision, Vector Databases. ### When should I choose anything-llm over aquila? Choose anything-llm over aquila when anything-llm is primarily JavaScript; aquila is HTML; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers AI Agents; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I avoid aquila? Last GitHub push was 796 days ago (dormant maintenance, May 6, 2024). Validate activity before betting a new project on aquila. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### Is aquila or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and anything-llm open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or anything-llm? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md)), 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](/compare/aquila-network-aquila-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or anything-llm? aquila: Dormant. anything-llm: Very active. 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 aquila and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aquila-network-aquila`](/api/graphcanon/graph?tool=aquila-network-aquila) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_