--- title: "anything-llm vs redtail" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-nvidia-ai-iot-redtail" tools: ["mintplex-labs-anything-llm", "nvidia-ai-iot-redtail"] --- # anything-llm vs redtail *GraphCanon updated Jul 11, 2026* ## Verdict Pick anything-llm when anything-llm is primarily JavaScript; redtail is C++; pick redtail when redtail is primarily C++; anything-llm is JavaScript. [anything-llm](https://anythingllm.com) reports 63k GitHub stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. [redtail](https://github.com/NVIDIA-AI-IOT/redtail) has 1.0k stars, 339 forks, and 48 open issues, last pushed Nov 17, 2020. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [redtail's repository](https://github.com/NVIDIA-AI-IOT/redtail). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [redtail](/tools/nvidia-ai-iot-redtail.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | Perception and AI components for autonomous mobile robotics. | | Stars | 63,100 | 1,044 | | Forks | 6,907 | 339 | | Open issues | 320 | 48 | | Language | JavaScript | C++ | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | BSD-3-Clause | | Categories | AI Agents, Inference & Serving | Model Training, Vector Databases, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [redtail](/tools/nvidia-ai-iot-redtail.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 2061d | | Open issues (now) | 320 | 48 | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/nvidia-ai-iot-redtail/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; redtail is C++. - License: anything-llm is MIT, redtail is BSD-3-Clause. - Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer. - Also covers Inference & Serving. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### Choose redtail if… - redtail is primarily C++; anything-llm is JavaScript. - License: redtail is BSD-3-Clause, anything-llm is MIT. - Tags unique to redtail: jetson, deep-learning, ai, artificial-intelligence. - Also covers Model Training, Vector Databases. ## 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. ## When NOT to use redtail - Last GitHub push was 2062 days ago (dormant maintenance, Nov 17, 2020). Validate activity before betting a new project on redtail. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## Common questions ### What is the difference between anything-llm and redtail? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. redtail: Perception and AI components for autonomous mobile robotics.. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over redtail? Choose anything-llm over redtail when anything-llm is primarily JavaScript; redtail is C++; License: anything-llm is MIT, redtail is BSD-3-Clause; Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer; 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 choose redtail over anything-llm? Choose redtail over anything-llm when redtail is primarily C++; anything-llm is JavaScript; License: redtail is BSD-3-Clause, anything-llm is MIT; Tags unique to redtail: jetson, deep-learning, ai, artificial-intelligence; Also covers Model Training, Vector Databases. ### 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. ### When should I avoid redtail? Last GitHub push was 2062 days ago (dormant maintenance, Nov 17, 2020). Validate activity before betting a new project on redtail. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### Is anything-llm or redtail more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 1,044). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and redtail open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, redtail: BSD-3-Clause). ### Where can I find alternatives to anything-llm or redtail? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [redtail alternatives](/tools/nvidia-ai-iot-redtail/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [redtail markdown twin](/tools/nvidia-ai-iot-redtail/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/mintplex-labs-anything-llm-vs-nvidia-ai-iot-redtail.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or redtail? anything-llm: Very active. redtail: Dormant. 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 redtail? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [redtail trust report](/tools/nvidia-ai-iot-redtail/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mintplex-labs-anything-llm`](/api/graphcanon/graph?tool=mintplex-labs-anything-llm) - 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/_