--- title: "anything-llm vs Patter" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-patterai-patter" tools: ["mintplex-labs-anything-llm", "patterai-patter"] --- # anything-llm vs Patter *GraphCanon updated Jul 11, 2026* ## Verdict Pick anything-llm when anything-llm is primarily JavaScript; Patter is Python; pick Patter when patter is primarily Python; 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. [Patter](https://getpatter.com) has 955 stars, 100 forks, and 0 open issues, last pushed Jul 6, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [Patter's repository](https://github.com/PatterAI/Patter). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [Patter](/tools/patterai-patter.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | Open-source voice-AI SDK. The Vapi/Retell alternative for builders who want to own the stack. Give your AI agent a phone number in 4 lines — Python and TypeScript, MIT licensed, Twilio, Telnyx, and Pl | | Stars | 63,100 | 955 | | Forks | 6,907 | 100 | | Open issues | 320 | 0 | | Language | JavaScript | Python | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | AI Agents, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [Patter](/tools/patterai-patter.md) | | --- | --- | --- | | Days since push | 0d | 5d | | Open issues (now) | 320 | 0 | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/patterai-patter/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; Patter is Python. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, 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. ### Choose Patter if… - Patter is primarily Python; anything-llm is JavaScript. - Tags unique to Patter: ai-agent, ai-phone-agent, hermes-agent, mastra. - Also covers LLM Frameworks, Speech & Audio. - Patter ships Docker support for self-hosted deployment. ## 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 Patter - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between anything-llm and Patter? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. Patter: Open-source voice-AI SDK. The Vapi/Retell alternative for builders who want to own the stack. Give your AI agent a phone number in 4 lines — Python and TypeScript, MIT licensed, Twilio, Telnyx, and Pl. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over Patter? Choose anything-llm over Patter when anything-llm is primarily JavaScript; Patter is Python; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, 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 choose Patter over anything-llm? Choose Patter over anything-llm when Patter is primarily Python; anything-llm is JavaScript; Tags unique to Patter: ai-agent, ai-phone-agent, hermes-agent, mastra; Also covers LLM Frameworks, Speech & Audio; Patter ships Docker support for self-hosted deployment. ### 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 Patter? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is anything-llm or Patter more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 955). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and Patter open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, Patter: MIT). ### Where can I find alternatives to anything-llm or Patter? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [Patter alternatives](/tools/patterai-patter/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [Patter markdown twin](/tools/patterai-patter/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-patterai-patter.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or Patter? anything-llm: Very active. Patter: 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 anything-llm and Patter? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [Patter trust report](/tools/patterai-patter/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/_