--- title: "anything-llm vs lean-ctx" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-yvgude-lean-ctx" tools: ["mintplex-labs-anything-llm", "yvgude-lean-ctx"] --- # anything-llm vs lean-ctx *GraphCanon updated Oct 3, 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 lean-ctx if leanCTX serves as a context intelligence layer for AI agents, providing localized control over read access and memory management while optimizing token usage for. [anything-llm](https://anythingllm.com) reports 66k GitHub stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. [lean-ctx](https://leanctx.com) has 3.9k stars, 352 forks, and 5 open issues, last pushed Oct 2, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [lean-ctx's repository](https://github.com/yvgude/lean-ctx). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [lean-ctx](/tools/yvgude-lean-ctx.md) | | --- | --- | --- | | Tagline | Self-hosted AI agent experience | Control what your AI can see by serving context with a local Rust binary. | | Stars | 66,167 | 3,859 | | Forks | 7,349 | 352 | | Open issues | 315 | 5 | | Language | JavaScript | Rust | | 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. | LeanCTX serves as a context intelligence layer for AI agents, providing localized control over read access and memory management while optimizing token usage for numerous MCP tools, all powered by a local Rust binary. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing for free use, modification, and distribution. | Apache-2.0 | | Categories | AI Agents, Developer Tools, Inference & Serving | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [lean-ctx](/tools/yvgude-lean-ctx.md) | | --- | --- | --- | | Open issues (now) | 315 | 5 | | Stars delta | +1.5k (30d) | +373 (30d) | | Open issues delta | -4 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/yvgude-lean-ctx/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: lean-ctx - **Adopt for:** LeanCTX serves as a context intelligence layer for AI agents, providing localized control over read access and memory management while optimizing token usage for numerous MCP tools, all powered by a local Rust binary. ## Choose when ### Choose anything-llm if… - anything-llm is primarily JavaScript; lean-ctx is Rust. - License: anything-llm is MIT, lean-ctx is Apache-2.0. - 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 Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ### Choose lean-ctx if… - lean-ctx is primarily Rust; anything-llm is JavaScript. - License: lean-ctx is Apache-2.0, anything-llm is MIT. - Tags unique to lean-ctx: context-engineering, context-intelligence, rust, token-optimization. - When you require granular, localized oversight over what your AI can visualize, learn from, and store within its operations. ## 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 lean-ctx - When there is a dependence on cloud-based solutions for context intelligence, since LeanCTX operates as a local binary. - If your setup does not need context layering or token optimization. In such cases, using LeanCTX would incur overhead without providing significant benefits. ## Common questions ### What is the difference between anything-llm and lean-ctx? anything-llm: Self-hosted AI agent experience. lean-ctx: Control what your AI can see by serving context with a local Rust binary.. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over lean-ctx? Choose anything-llm over lean-ctx when anything-llm is primarily JavaScript; lean-ctx is Rust; License: anything-llm is MIT, lean-ctx is Apache-2.0; 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 Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### When should I choose lean-ctx over anything-llm? Choose lean-ctx over anything-llm when lean-ctx is primarily Rust; anything-llm is JavaScript; License: lean-ctx is Apache-2.0, anything-llm is MIT; Tags unique to lean-ctx: context-engineering, context-intelligence, rust, token-optimization; When you require granular, localized oversight over what your AI can visualize, learn from, and store within its operations. ### 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 lean-ctx? When there is a dependence on cloud-based solutions for context intelligence, since LeanCTX operates as a local binary. If your setup does not need context layering or token optimization. In such cases, using LeanCTX would incur overhead without providing significant benefits. ### Is anything-llm or lean-ctx more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 3,859). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and lean-ctx open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, lean-ctx: Apache-2.0). ### Where can I find alternatives to anything-llm or lean-ctx? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [lean-ctx alternatives](/tools/yvgude-lean-ctx/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/alternatives.md), [lean-ctx markdown twin](/tools/yvgude-lean-ctx/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-yvgude-lean-ctx.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, anything-llm or lean-ctx? anything-llm: Very active. lean-ctx: 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 lean-ctx? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [lean-ctx trust report](/tools/yvgude-lean-ctx/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/_