--- title: "oh-my-agent vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/first-fluke-oh-my-agent-vs-mintplex-labs-anything-llm" tools: ["first-fluke-oh-my-agent", "mintplex-labs-anything-llm"] --- # oh-my-agent vs anything-llm *GraphCanon updated Jul 15, 2026* ## Verdict Pick oh-my-agent when oh-my-agent is primarily TypeScript; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; oh-my-agent is TypeScript. [oh-my-agent](https://firstfluke.com/oh-my-agent/) reports 1.2k GitHub stars, 135 forks, and 0 open issues, last pushed Jul 14, 2026. [anything-llm](https://anythingllm.com) has 63k stars, 6.9k forks, and 317 open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [oh-my-agent's repository](https://github.com/first-fluke/oh-my-agent) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [oh-my-agent](/tools/first-fluke-oh-my-agent.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Portable, vendor-agnostic agent harness for project-specific skills, workflows, and agent teams aligned with your codebase, conventions, and engineering standards. | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 1,164 | 63,345 | | Forks | 135 | 6,931 | | Open issues | 0 | 317 | | Language | TypeScript | 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._ | | [oh-my-agent](/tools/first-fluke-oh-my-agent.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Open issues (now) | 0 | 317 | | Full report | [trust report](/tools/first-fluke-oh-my-agent/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 oh-my-agent if… - oh-my-agent is primarily TypeScript; anything-llm is JavaScript. - Tags unique to oh-my-agent: agent-skills, agentic-coding, ai-agents, claude code. - Leaner open-issue backlog (0). ### Choose anything-llm if… - anything-llm is primarily JavaScript; oh-my-agent is TypeScript. - Tags unique to anything-llm: agent-computer, agentic-ai, llm, 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 oh-my-agent - 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 oh-my-agent and anything-llm? oh-my-agent: Portable, vendor-agnostic agent harness for project-specific skills, workflows, and agent teams aligned with your codebase, conventions, and engineering standards.. 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 oh-my-agent over anything-llm? Choose oh-my-agent over anything-llm when oh-my-agent is primarily TypeScript; anything-llm is JavaScript; Tags unique to oh-my-agent: agent-skills, agentic-coding, ai-agents, claude code; Leaner open-issue backlog (0). ### When should I choose anything-llm over oh-my-agent? Choose anything-llm over oh-my-agent when anything-llm is primarily JavaScript; oh-my-agent is TypeScript; Tags unique to anything-llm: agent-computer, agentic-ai, llm, 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 oh-my-agent? 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 oh-my-agent or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,345 vs 1,164). Stars measure visibility, not whether either tool fits your constraints. ### Are oh-my-agent and anything-llm open source? Yes - both are open-source projects on GitHub (oh-my-agent: MIT, anything-llm: MIT). ### Where can I find alternatives to oh-my-agent or anything-llm? GraphCanon lists graph-backed alternatives at [oh-my-agent alternatives](/tools/first-fluke-oh-my-agent/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([oh-my-agent markdown twin](/tools/first-fluke-oh-my-agent/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/first-fluke-oh-my-agent-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, oh-my-agent or anything-llm? oh-my-agent: Very 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 oh-my-agent and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oh-my-agent trust report](/tools/first-fluke-oh-my-agent/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=first-fluke-oh-my-agent`](/api/graphcanon/graph?tool=first-fluke-oh-my-agent) - 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/_