--- title: "anything-llm vs grepai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-yoanbernabeu-grepai" tools: ["mintplex-labs-anything-llm", "yoanbernabeu-grepai"] --- # anything-llm vs grepai *GraphCanon updated Sep 20, 2026* ## Verdict Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick grepai if grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [grepai](https://yoanbernabeu.github.io/grepai/) has 1.9k stars, 156 forks, and 71 open issues, last pushed Sep 14, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [grepai's repository](https://github.com/yoanbernabeu/grepai). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [grepai](/tools/yoanbernabeu-grepai.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Semantic Search & Call Graphs for AI Agents (100% Local) | | Stars | 66,167 | 1,878 | | Forks | 7,349 | 156 | | Open issues | 315 | 71 | | Language | JavaScript | C | | Adopt for | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | MIT license, allowing for wide usage in both open-source and proprietary applications without restrictions on redistribution. | | Categories | AI Agents, Developer Tools, Inference & Serving | Developer Tools, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [grepai](/tools/yoanbernabeu-grepai.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 315 | 71 | | Stars delta | +1.5k (30d) | +89 (30d) | | Open issues delta | -4 (30d) | -25 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/yoanbernabeu-grepai/trust.md) | ## Decision facts: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Decision facts: grepai - **Pricing:** freemium - Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires. - **Adopt for:** grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy. - **License detail:** MIT license, allowing for wide usage in both open-source and proprietary applications without restrictions on redistribution. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; grepai is C. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers AI Agents, Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose grepai if… - grepai is primarily C; anything-llm is JavaScript. - Pricing: Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires.. - Tags unique to grepai: ai, claude-code, cli, code-search. - Also covers Vector Databases. - When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount. ## When NOT to use anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## When NOT to use grepai - Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality. - If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python. ## Common questions ### What is the difference between anything-llm and grepai? anything-llm: Self-hosted AI agent experience. grepai: Semantic Search & Call Graphs for AI Agents (100% Local). See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over grepai? Choose anything-llm over grepai when anything-llm is primarily JavaScript; grepai is C; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose grepai over anything-llm? Choose grepai over anything-llm when grepai is primarily C; anything-llm is JavaScript; Pricing: Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires.; Tags unique to grepai: ai, claude-code, cli, code-search; Also covers Vector Databases; When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount. ### When should I avoid anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### When should I avoid grepai? Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality. If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python. ### Is anything-llm or grepai more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 1,878). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and grepai open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, grepai: MIT). ### Where can I find alternatives to anything-llm or grepai? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [grepai alternatives](/tools/yoanbernabeu-grepai/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [grepai markdown twin](/tools/yoanbernabeu-grepai/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-yoanbernabeu-grepai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or grepai? anything-llm: Very active. grepai: 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 grepai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [grepai trust report](/tools/yoanbernabeu-grepai/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/_