by Alegau03 · MCP Server · ★ 119
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
CTX The context layer for AI coding agents Reduce token waste in OpenCode and AI coding workflows with graph memory, compact task packs, read-cache compression, command pruning, and a live right-sidebar dashboard. OpenCode-first runtime · Local MCP tools · Read cache + delta-aware indexing · Single Rust binary Install · OpenCode Usage · Dashboard · Benchmarks · Docs · Security CTX is a local context runtime for OpenCode and AI coding agents. It keeps repository knowledge, reusable rules, shell output, diffs, and file rereads compact before they ever bloat the model context. See It In Action ![Read
| Stars | 119 |
| Forks | 9 |
| Language | Rust |
| Category | MCP Server |
| Quality Score | 63.0033880907317/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-11 |
| Created | 2026-04-23 |
| Platforms | claude-code, mcp, rust |
| Est. Tokens | ~1666k |
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CTX is CTX - Context Runtime Engine for Coding Agents. It is categorized as a MCP Server with 119 GitHub stars.
CTX is primarily written in Rust. It covers topics such as ai-agent, ai-agents, ai-tools.
You can find installation instructions and usage details in the CTX GitHub repository at github.com/Alegau03/CTX. The project has 119 stars and 9 forks, indicating an active community.
The top alternatives to CTX on Agent Skills Hub include ctxport, LAP, Overture. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.