--- title: "burr vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-burr-vs-mintplex-labs-anything-llm" tools: ["apache-burr", "mintplex-labs-anything-llm"] --- # burr vs anything-llm *GraphCanon updated Aug 20, 2026* ## Verdict Pick burr if burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management; pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments. [burr](https://burr.apache.org/) reports 2.5k GitHub stars, 186 forks, and 105 open issues, last pushed Aug 17, 2026. [anything-llm](https://anythingllm.com) has 65k stars, 7.1k forks, and 319 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [burr's repository](https://github.com/apache/burr) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [burr](/tools/apache-burr.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Build applications that make decisions like chatbots, agents; monitor and manage state. | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 2,521 | 64,716 | | Forks | 186 | 7,132 | | Open issues | 105 | 319 | | Language | Python | JavaScript | | Adopt for | Burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management. | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License, allowing free use but retaining notice requirements and disclaimers as per the license terms. | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [burr](/tools/apache-burr.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Days since push | 2d | 1d | | Open issues (now) | 105 | 319 | | Stars delta | +35 (30d) | +1.4k (30d) | | Open issues delta | -2 (30d) | +2 (30d) | | Full report | [trust report](/tools/apache-burr/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: burr - **Adopt for:** Burr by Apache offers a comprehensive framework for decision-making applications, including chatbots, with built-in monitoring and state management. - **License detail:** Apache-2.0 License, allowing free use but retaining notice requirements and disclaimers as per the license terms. ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose burr if… - burr is primarily Python; anything-llm is JavaScript. - License: burr is Apache-2.0, anything-llm is MIT. - Tags unique to burr: ai, burr, chatbot-framework, dags. - Also covers Evaluation & Observability. - You prefer Python for developing AI-driven applications that require state persistence across interactions. ### Choose anything-llm if… - anything-llm is primarily JavaScript; burr is Python. - License: anything-llm is MIT, burr is Apache-2.0. - 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 burr - If you need a lightweight solution without the overhead of server setup and maintenance for monitoring. - When your application does not interact heavily with user states or require extensive tracing capabilities. ## 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 burr and anything-llm? burr: Build applications that make decisions like chatbots, agents; monitor and manage state.. 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 burr over anything-llm? Choose burr over anything-llm when burr is primarily Python; anything-llm is JavaScript; License: burr is Apache-2.0, anything-llm is MIT; Tags unique to burr: ai, burr, chatbot-framework, dags; Also covers Evaluation & Observability; You prefer Python for developing AI-driven applications that require state persistence across interactions. ### When should I choose anything-llm over burr? Choose anything-llm over burr when anything-llm is primarily JavaScript; burr is Python; License: anything-llm is MIT, burr is Apache-2.0; 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 burr? If you need a lightweight solution without the overhead of server setup and maintenance for monitoring. When your application does not interact heavily with user states or require extensive tracing capabilities. ### 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 burr or anything-llm more popular on GitHub? anything-llm has more GitHub stars (64,716 vs 2,521). Stars measure visibility, not whether either tool fits your constraints. ### Are burr and anything-llm open source? Yes - both are open-source projects on GitHub (burr: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to burr or anything-llm? GraphCanon lists graph-backed alternatives at [burr alternatives](/tools/apache-burr/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([burr markdown twin](/tools/apache-burr/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/apache-burr-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, burr or anything-llm? burr: 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 burr and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [burr trust report](/tools/apache-burr/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-burr`](/api/graphcanon/graph?tool=apache-burr) - 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/_