--- title: "context-space vs lean-ctx" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/context-space-context-space-vs-yvgude-lean-ctx" tools: ["context-space-context-space", "yvgude-lean-ctx"] --- # context-space vs lean-ctx *GraphCanon updated Aug 4, 2026* ## Verdict Pick context-space if context-Space facilitates the creation of AI context engineering systems via Model Context Protocol in Go; 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 numerous MCP tools, all powered by a local Rust binary. [context-space](https://context.space) reports 811 GitHub stars, 78 forks, and 1 open issues, last pushed Oct 22, 2025. [lean-ctx](https://leanctx.com) has 3.5k stars, 312 forks, and 5 open issues, last pushed Aug 4, 2026. Figures are from public GitHub metadata via [context-space's repository](https://github.com/context-space/context-space) and [lean-ctx's repository](https://github.com/yvgude/lean-ctx). | | [context-space](/tools/context-space-context-space.md) | [lean-ctx](/tools/yvgude-lean-ctx.md) | | --- | --- | --- | | Tagline | Ultimate Context Engineering Infrastructure starting from MCPs and Integrations | Control what your AI can see by serving context with a local Rust binary. | | Stars | 811 | 3,486 | | Forks | 78 | 312 | | Open issues | 1 | 5 | | Language | Go | Rust | | Adopt for | Context-Space facilitates the creation of AI context engineering systems via Model Context Protocol in Go. | 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 | AGPL-3.0 | Apache-2.0 | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [context-space](/tools/context-space-context-space.md) | [lean-ctx](/tools/yvgude-lean-ctx.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 278d | 0d | | Open issues (now) | 1 | 5 | | Owner type | Organization | User | | Full report | [trust report](/tools/context-space-context-space/trust.md) | [trust report](/tools/yvgude-lean-ctx/trust.md) | ## Decision facts: context-space - **Adopt for:** Context-Space facilitates the creation of AI context engineering systems via Model Context Protocol in Go. ## 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 context-space if… - context-space is primarily Go; lean-ctx is Rust. - License: context-space is AGPL-3.0, lean-ctx is Apache-2.0. - Tags unique to context-space: agent, agents, ai-agent, golang. - You prioritize using Go for a project that requires integration with MCP to build complex context-aware AI applications. ### Choose lean-ctx if… - lean-ctx is primarily Rust; context-space is Go. - License: lean-ctx is Apache-2.0, context-space is AGPL-3.0. - Tags unique to lean-ctx: ai-agents, context-intelligence, rust, token-optimization. - Also covers Developer Tools. - When you require granular, localized oversight over what your AI can visualize, learn from, and store within its operations. ## When NOT to use context-space - Project demands use of languages other than Go as the core development environment. - Looking for a solution that does not involve Model Context Protocol (MCP) framework for context handling. ## 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 context-space and lean-ctx? context-space: Ultimate Context Engineering Infrastructure starting from MCPs and Integrations. 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 context-space over lean-ctx? Choose context-space over lean-ctx when context-space is primarily Go; lean-ctx is Rust; License: context-space is AGPL-3.0, lean-ctx is Apache-2.0; Tags unique to context-space: agent, agents, ai-agent, golang; You prioritize using Go for a project that requires integration with MCP to build complex context-aware AI applications. ### When should I choose lean-ctx over context-space? Choose lean-ctx over context-space when lean-ctx is primarily Rust; context-space is Go; License: lean-ctx is Apache-2.0, context-space is AGPL-3.0; Tags unique to lean-ctx: ai-agents, context-intelligence, rust, token-optimization; Also covers Developer Tools; When you require granular, localized oversight over what your AI can visualize, learn from, and store within its operations. ### When should I avoid context-space? Project demands use of languages other than Go as the core development environment. Looking for a solution that does not involve Model Context Protocol (MCP) framework for context handling. ### 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 context-space or lean-ctx more popular on GitHub? lean-ctx has more GitHub stars (3,486 vs 811). Stars measure visibility, not whether either tool fits your constraints. ### Are context-space and lean-ctx open source? Yes - both are open-source projects on GitHub (context-space: AGPL-3.0, lean-ctx: Apache-2.0). ### Where can I find alternatives to context-space or lean-ctx? GraphCanon lists graph-backed alternatives at [context-space alternatives](/tools/context-space-context-space/alternatives) and [lean-ctx alternatives](/tools/yvgude-lean-ctx/alternatives) ([context-space markdown twin](/tools/context-space-context-space/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/context-space-context-space-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, context-space or lean-ctx? context-space: Slowing. 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 context-space and lean-ctx? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [context-space trust report](/tools/context-space-context-space/trust); [lean-ctx trust report](/tools/yvgude-lean-ctx/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=context-space-context-space`](/api/graphcanon/graph?tool=context-space-context-space) - 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/_