Comparison
context-space vs lean-ctx
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.
Markdown twin · context-space alternatives · lean-ctx alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | context-space | lean-ctx |
|---|---|---|
| Maintenance | Slowing (278d since push) As of 4w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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.
Stars
- context-space
- 811
- lean-ctx
- 3.5k
Forks
- context-space
- 78
- lean-ctx
- 312
Open issues
- context-space
- 1
- lean-ctx
- 5
Language
- context-space
- Go
- lean-ctx
- Rust
Adopt for
- context-space
- Context-Space facilitates the creation of AI context engineering systems via Model Context Protocol in Go.
- lean-ctx
- 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
- context-space
- -
- lean-ctx
- -
Runtime
- context-space
- -
- lean-ctx
- -
License
- context-space
- AGPL-3.0
- lean-ctx
- Apache-2.0
Last pushed
- context-space
- Oct 22, 2025
- lean-ctx
- Aug 4, 2026
Categories
- context-space
- AI Agents
- lean-ctx
- AI Agents, Developer Tools
Trust and health
Maintenance
- context-space
- Slowing (36%)
- lean-ctx
- Very active (96%)
Days since push
- context-space
- 278d
- lean-ctx
- 0d
Open issues (now)
- context-space
- 1
- lean-ctx
- 5
Owner type
- context-space
- Organization
- lean-ctx
- User
Full report
- context-space
- Trust report
- lean-ctx
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (context-space/context-space) · observed Jul 27, 2026
- GitHub forks (context-space/context-space) · observed Jul 27, 2026
- Last push (context-space/context-space) · observed Oct 22, 2025
- License file (AGPL-3.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yvgude/lean-ctx) · observed Aug 4, 2026
- GitHub forks (yvgude/lean-ctx) · observed Aug 4, 2026
- Last push (yvgude/lean-ctx) · observed Aug 4, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: context-space 811 · lean-ctx 3.5k (synced Jul 27, 2026).
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 and lean-ctx alternatives (context-space markdown twin, lean-ctx markdown twin), 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 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; lean-ctx trust report.