--- title: "anything-llm vs pmb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-oleksiijko-pmb" tools: ["mintplex-labs-anything-llm", "oleksiijko-pmb"] --- # anything-llm vs pmb *GraphCanon updated Jul 12, 2026* ## Verdict Pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments; pick pmb if pmb - Local-first persistent memory for AI coding agents. [anything-llm](https://anythingllm.com) reports 63k GitHub stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. [pmb](https://pypi.org/project/pmb-ai/) has 300 stars, 15 forks, and 5 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [pmb's repository](https://github.com/oleksiijko/pmb). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [pmb](/tools/oleksiijko-pmb.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | Local-first persistent memory for AI coding agents with offline and multilingual capabilities. | | Stars | 63,100 | 300 | | Forks | 6,907 | 15 | | Open issues | 320 | 5 | | Language | JavaScript | Python | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | pmb - Local-first persistent memory for AI coding agents | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Inference & Serving | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [pmb](/tools/oleksiijko-pmb.md) | | --- | --- | --- | | Open issues (now) | 320 | 5 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/oleksiijko-pmb/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Decision facts: pmb - **Requirements:** No explicit requirements listed in repository data, but likely Python and compatible SQL database setup. - **Adopt for:** pmb - Local-first persistent memory for AI coding agents - **License detail:** Apache-2.0 ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; pmb is Python. - License: anything-llm is MIT, pmb is Apache-2.0. - Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer. - 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 pmb if… - pmb is primarily Python; anything-llm is JavaScript. - License: pmb is Apache-2.0, anything-llm is MIT. - Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.. - Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code. - Also covers Data & Retrieval. - - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex. ## 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 pmb - - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization. - - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage. - - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks. ## Common questions ### What is the difference between anything-llm and pmb? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. pmb: Local-first persistent memory for AI coding agents with offline and multilingual capabilities.. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over pmb? Choose anything-llm over pmb when anything-llm is primarily JavaScript; pmb is Python; License: anything-llm is MIT, pmb is Apache-2.0; Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer; 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 pmb over anything-llm? Choose pmb over anything-llm when pmb is primarily Python; anything-llm is JavaScript; License: pmb is Apache-2.0, anything-llm is MIT; Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.; Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code; Also covers Data & Retrieval; - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex. ### 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 pmb? - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization. - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage. - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks. ### Is anything-llm or pmb more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 300). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and pmb open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, pmb: Apache-2.0). ### Where can I find alternatives to anything-llm or pmb? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [pmb alternatives](/tools/oleksiijko-pmb/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [pmb markdown twin](/tools/oleksiijko-pmb/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-oleksiijko-pmb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or pmb? anything-llm: Very active. pmb: 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 pmb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [pmb trust report](/tools/oleksiijko-pmb/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/_