--- title: "anything-llm vs py-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-szczyglis-dev-py-gpt" tools: ["mintplex-labs-anything-llm", "szczyglis-dev-py-gpt"] --- # anything-llm vs py-gpt *GraphCanon updated Jul 15, 2026* ## Verdict Pick anything-llm when anything-llm is primarily JavaScript; py-gpt is Python; pick py-gpt when py-gpt is primarily Python; anything-llm is JavaScript. [anything-llm](https://anythingllm.com) reports 63k GitHub stars, 6.9k forks, and 317 open issues, last pushed Jul 15, 2026. [py-gpt](https://pygpt.net) has 1.9k stars, 333 forks, and 61 open issues, last pushed Feb 6, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [py-gpt's repository](https://github.com/szczyglis-dev/py-gpt). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe | | Stars | 63,345 | 1,851 | | Forks | 6,931 | 333 | | Open issues | 317 | 61 | | Language | JavaScript | Python | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Inference & Serving | AI Agents, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 159d | | Open issues (now) | 317 | 61 | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/szczyglis-dev-py-gpt/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; py-gpt is Python. - License: anything-llm is MIT, py-gpt is Other. - 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. ### Choose py-gpt if… - py-gpt is primarily Python; anything-llm is JavaScript. - License: py-gpt is Other, anything-llm is MIT. - Tags unique to py-gpt: ai, ai-assistant, artificial-intelligence, autonomous-agent. - Also covers LLM Frameworks, 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 py-gpt - Last GitHub push was 159 days ago (slowing maintenance, Feb 6, 2026). Validate activity before betting a new project on py-gpt. - 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. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between anything-llm and py-gpt? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. py-gpt: Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over py-gpt? Choose anything-llm over py-gpt when anything-llm is primarily JavaScript; py-gpt is Python; License: anything-llm is MIT, py-gpt is Other; 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 choose py-gpt over anything-llm? Choose py-gpt over anything-llm when py-gpt is primarily Python; anything-llm is JavaScript; License: py-gpt is Other, anything-llm is MIT; Tags unique to py-gpt: ai, ai-assistant, artificial-intelligence, autonomous-agent; Also covers LLM Frameworks, 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 py-gpt? Last GitHub push was 159 days ago (slowing maintenance, Feb 6, 2026). Validate activity before betting a new project on py-gpt. 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is anything-llm or py-gpt more popular on GitHub? anything-llm has more GitHub stars (63,345 vs 1,851). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and py-gpt open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, py-gpt: Other). ### Where can I find alternatives to anything-llm or py-gpt? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [py-gpt alternatives](/tools/szczyglis-dev-py-gpt/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [py-gpt markdown twin](/tools/szczyglis-dev-py-gpt/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-szczyglis-dev-py-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or py-gpt? anything-llm: Very active. py-gpt: Slowing. 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 py-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [py-gpt trust report](/tools/szczyglis-dev-py-gpt/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/_