--- title: "codebase-memory-mcp vs HCP-Coder" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deusdata-codebase-memory-mcp-vs-hambaobao-hcp-coder" tools: ["deusdata-codebase-memory-mcp", "hambaobao-hcp-coder"] --- # codebase-memory-mcp vs HCP-Coder *GraphCanon updated Aug 25, 2026* ## Verdict Pick codebase-memory-mcp if codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary; pick HCP-Coder if hierarchical Context Pruning (HCP) for optimizing real-world code completion tasks with repository-level pre-trained models. [codebase-memory-mcp](https://deusdata.github.io/codebase-memory-mcp/) reports 41k GitHub stars, 3.3k forks, and 510 open issues, last pushed Aug 24, 2026. [HCP-Coder](https://github.com/Hambaobao/HCP-Coder) has 17 stars, 2 forks, and 1 open issues, last pushed Nov 17, 2024. Figures are from public GitHub metadata via [codebase-memory-mcp's repository](https://github.com/DeusData/codebase-memory-mcp) and [HCP-Coder's repository](https://github.com/Hambaobao/HCP-Coder). | | [codebase-memory-mcp](/tools/deusdata-codebase-memory-mcp.md) | [HCP-Coder](/tools/hambaobao-hcp-coder.md) | | --- | --- | --- | | Tagline | High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly | Hierarchical Context Pruning for code completion using pre-trained large language models | | Stars | 40,581 | 17 | | Forks | 3,289 | 2 | | Open issues | 510 | 1 | | Language | C | Python | | Adopt for | codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary. | Hierarchical Context Pruning (HCP) for optimizing real-world code completion tasks with repository-level pre-trained models | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Developer Tools | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [codebase-memory-mcp](/tools/deusdata-codebase-memory-mcp.md) | [HCP-Coder](/tools/hambaobao-hcp-coder.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 625d | | Open issues (now) | 510 | 1 | | Stars delta | +5.2k (30d) | Unknown | | Open issues delta | +162 (30d) | Unknown | | Full report | [trust report](/tools/deusdata-codebase-memory-mcp/trust.md) | [trust report](/tools/hambaobao-hcp-coder/trust.md) | ## Decision facts: codebase-memory-mcp - **Adopt for:** codebase-memory-mcp excels at indexing codebases into a persistent knowledge graph with support for 158 languages, sub-ms query times, and minimal token use, delivered as a single static binary. ## Decision facts: HCP-Coder - **Adopt for:** Hierarchical Context Pruning (HCP) for optimizing real-world code completion tasks with repository-level pre-trained models ## Choose when ### Choose codebase-memory-mcp if… - codebase-memory-mcp is primarily C; HCP-Coder is Python. - Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis. - Also covers Data & Retrieval. - When needing rapid codebase indexing into a knowledge graph with low latency queries ### Choose HCP-Coder if… - HCP-Coder is primarily Python; codebase-memory-mcp is C. - Tags unique to HCP-Coder: code-completion, large language models. - Also covers Model Training. - When deploying a solution that requires precise and context-aware code completions within the bounds of project repositories, leveraging HCP-Coder can enhance efficiency ## When NOT to use codebase-memory-mcp - If you demand extensive interactive graphical UI features beyond its command-line interface capabilities - When your project prioritizes a dynamic runtime environment over static binaries ## When NOT to use HCP-Coder - Avoid using for smaller projects that do not require extensive context pruning since the setup and overhead might outweigh benefits - Not ideal when working with languages that lack comprehensive pre-trained models, as HCP-Coder's performance hinges on repository-level pre-training ## Common questions ### What is the difference between codebase-memory-mcp and HCP-Coder? codebase-memory-mcp: High-performance code intelligence MCP server indexing codebases into a persistent knowledge graph quickly. HCP-Coder: Hierarchical Context Pruning for code completion using pre-trained large language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose codebase-memory-mcp over HCP-Coder? Choose codebase-memory-mcp over HCP-Coder when codebase-memory-mcp is primarily C; HCP-Coder is Python; Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis; Also covers Data & Retrieval; When needing rapid codebase indexing into a knowledge graph with low latency queries. ### When should I choose HCP-Coder over codebase-memory-mcp? Choose HCP-Coder over codebase-memory-mcp when HCP-Coder is primarily Python; codebase-memory-mcp is C; Tags unique to HCP-Coder: code-completion, large language models; Also covers Model Training; When deploying a solution that requires precise and context-aware code completions within the bounds of project repositories, leveraging HCP-Coder can enhance efficiency. ### When should I avoid codebase-memory-mcp? If you demand extensive interactive graphical UI features beyond its command-line interface capabilities When your project prioritizes a dynamic runtime environment over static binaries ### When should I avoid HCP-Coder? Avoid using for smaller projects that do not require extensive context pruning since the setup and overhead might outweigh benefits Not ideal when working with languages that lack comprehensive pre-trained models, as HCP-Coder's performance hinges on repository-level pre-training ### Is codebase-memory-mcp or HCP-Coder more popular on GitHub? codebase-memory-mcp has more GitHub stars (40,581 vs 17). Stars measure visibility, not whether either tool fits your constraints. ### Are codebase-memory-mcp and HCP-Coder open source? Yes - both are open-source projects on GitHub (codebase-memory-mcp: MIT, HCP-Coder: MIT). ### Where can I find alternatives to codebase-memory-mcp or HCP-Coder? GraphCanon lists graph-backed alternatives at [codebase-memory-mcp alternatives](/tools/deusdata-codebase-memory-mcp/alternatives) and [HCP-Coder alternatives](/tools/hambaobao-hcp-coder/alternatives) ([codebase-memory-mcp markdown twin](/tools/deusdata-codebase-memory-mcp/alternatives.md), [HCP-Coder markdown twin](/tools/hambaobao-hcp-coder/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/deusdata-codebase-memory-mcp-vs-hambaobao-hcp-coder.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, codebase-memory-mcp or HCP-Coder? codebase-memory-mcp: Very active. HCP-Coder: Dormant. 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 codebase-memory-mcp and HCP-Coder? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [codebase-memory-mcp trust report](/tools/deusdata-codebase-memory-mcp/trust); [HCP-Coder trust report](/tools/hambaobao-hcp-coder/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deusdata-codebase-memory-mcp`](/api/graphcanon/graph?tool=deusdata-codebase-memory-mcp) - 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/_