--- title: "runbook vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/braintree-runbook-vs-mintplex-labs-anything-llm" tools: ["braintree-runbook", "mintplex-labs-anything-llm"] --- # runbook vs anything-llm *GraphCanon updated Jul 15, 2026* ## Verdict Pick runbook when runbook is primarily Ruby; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; runbook is Ruby. [runbook](https://github.com/braintree/runbook) reports 768 GitHub stars, 40 forks, and 17 open issues, last pushed Aug 24, 2023. [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 [runbook's repository](https://github.com/braintree/runbook) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [runbook](/tools/braintree-runbook.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | A framework for gradual system automation | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 768 | 63,100 | | Forks | 40 | 6,907 | | Open issues | 17 | 320 | | Language | Ruby | JavaScript | | Adopt for | - | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [runbook](/tools/braintree-runbook.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1055d | 0d | | Open issues (now) | 17 | 320 | | Full report | [trust report](/tools/braintree-runbook/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 runbook if… - runbook is primarily Ruby; anything-llm is JavaScript. - Tags unique to runbook: automation, automation-framework, devops, devops-tools. - Leaner open-issue backlog (17). ### Choose anything-llm if… - anything-llm is primarily JavaScript; runbook is Ruby. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm. - 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 runbook - Last GitHub push was 1056 days ago (dormant maintenance, Aug 24, 2023). Validate activity before betting a new project on runbook. - 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 runbook and anything-llm? runbook: A framework for gradual system automation. 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 runbook over anything-llm? Choose runbook over anything-llm when runbook is primarily Ruby; anything-llm is JavaScript; Tags unique to runbook: automation, automation-framework, devops, devops-tools; Leaner open-issue backlog (17). ### When should I choose anything-llm over runbook? Choose anything-llm over runbook when anything-llm is primarily JavaScript; runbook is Ruby; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; 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 runbook? Last GitHub push was 1056 days ago (dormant maintenance, Aug 24, 2023). Validate activity before betting a new project on runbook. 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 runbook or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 768). Stars measure visibility, not whether either tool fits your constraints. ### Are runbook and anything-llm open source? Yes - both are open-source projects on GitHub (runbook: MIT, anything-llm: MIT). ### Where can I find alternatives to runbook or anything-llm? GraphCanon lists graph-backed alternatives at [runbook alternatives](/tools/braintree-runbook/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([runbook markdown twin](/tools/braintree-runbook/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/braintree-runbook-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, runbook or anything-llm? runbook: 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 runbook and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [runbook trust report](/tools/braintree-runbook/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=braintree-runbook`](/api/graphcanon/graph?tool=braintree-runbook) - 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/_