--- title: "RAGLight vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bessouat40-raglight-vs-mintplex-labs-anything-llm" tools: ["bessouat40-raglight", "mintplex-labs-anything-llm"] --- # RAGLight vs anything-llm *GraphCanon updated Jul 11, 2026* ## Verdict Pick RAGLight when rAGLight is primarily Python; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; RAGLight is Python. [RAGLight](https://raglight.mintlify.app/) reports 668 GitHub stars, 101 forks, and 12 open issues, last pushed Jun 25, 2026. [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 [RAGLight's repository](https://github.com/Bessouat40/RAGLight) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [RAGLight](/tools/bessouat40-raglight.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connec | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 668 | 63,100 | | Forks | 101 | 6,907 | | Open issues | 12 | 320 | | Language | Python | JavaScript | | Adopt for | - | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Vector Databases, LLM Frameworks, AI Agents | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [RAGLight](/tools/bessouat40-raglight.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 15d | 0d | | Open issues (now) | 12 | 320 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/bessouat40-raglight/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 RAGLight if… - RAGLight is primarily Python; anything-llm is JavaScript. - Tags unique to RAGLight: data-science, artificial-intelligence, agentic-workflow, agentic-rag. - Also covers Vector Databases, LLM Frameworks. ### Choose anything-llm if… - anything-llm is primarily JavaScript; RAGLight is Python. - Tags unique to anything-llm: no-code, llm, agent-computer, local-ai. - Also covers Inference & Serving. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ## When NOT to use RAGLight - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## 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 RAGLight and anything-llm? RAGLight: RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connec. 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 RAGLight over anything-llm? Choose RAGLight over anything-llm when RAGLight is primarily Python; anything-llm is JavaScript; Tags unique to RAGLight: data-science, artificial-intelligence, agentic-workflow, agentic-rag; Also covers Vector Databases, LLM Frameworks. ### When should I choose anything-llm over RAGLight? Choose anything-llm over RAGLight when anything-llm is primarily JavaScript; RAGLight is Python; Tags unique to anything-llm: no-code, llm, agent-computer, local-ai; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I avoid RAGLight? Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### 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 RAGLight or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 668). Stars measure visibility, not whether either tool fits your constraints. ### Are RAGLight and anything-llm open source? Yes - both are open-source projects on GitHub (RAGLight: MIT, anything-llm: MIT). ### Where can I find alternatives to RAGLight or anything-llm? GraphCanon lists graph-backed alternatives at [RAGLight alternatives](/tools/bessouat40-raglight/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([RAGLight markdown twin](/tools/bessouat40-raglight/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/bessouat40-raglight-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, RAGLight or anything-llm? RAGLight: Active. 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 RAGLight and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [RAGLight trust report](/tools/bessouat40-raglight/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bessouat40-raglight`](/api/graphcanon/graph?tool=bessouat40-raglight) - 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/_