Which is more popular, bloop or codebase-memory-mcp?

codebase-memory-mcp has more GitHub stars (45,666 vs 9,491).

Which is more actively developed, bloop or codebase-memory-mcp?

codebase-memory-mcp had more commits in the last 90 days (2,093 vs 0).

Should I use bloop or codebase-memory-mcp?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

bloop vs codebase-memory-mcp

Side-by-side comparison of two AI agent tools

Short answer

bloop has had no commit in 22 months; codebase-memory-mcp is actively maintained (2,093 commits in the last 90 days).
codebase-memory-mcp is growing faster: +1,725 GitHub stars in the last 30 days vs +-4 for bloop.
Pick bloop for: bloop is a fast code search engine written in Rust. Pick codebase-memory-mcp for: mCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP.

From GitHub data refreshed daily.

bloopopen-source

bloop is a fast code search engine written in Rust.

codebase-memory-mcpopen-source

MCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP

Metrics

	bloop	codebase-memory-mcp
Stars	9.5k	45.7k
Star velocity /mo	-3.6507936507936503	1.7k
Commits (90d)	0	2.1k
Releases (6m)	0	10
Overall score	0.11623974020545498	0.906371149690189

Pros

+Blazing fast performance with Rust-based architecture and advanced search indexes powered by Tantivy and Qdrant
+Privacy-focused approach with on-device embedding for semantic search, keeping code analysis local
+Multiple search capabilities including natural language AI queries, regex search, symbol search, and precise code navigation

Cons

-Requires OpenAI API key for AI-powered features, creating dependency on external service
-Code navigation and advanced language features limited to 10+ popular programming languages
-Desktop application only, lacking web-based or command-line-first workflows for some use cases

Use Cases

•Explaining how complex files or features work in simple language for code documentation and onboarding
•Writing new features using existing codebase as context to maintain consistency and reduce development time
•Understanding and working with poorly documented open source libraries by querying code behavior

View bloop Details View codebase-memory-mcp Details

FAQ

Which is more popular, bloop or codebase-memory-mcp?: codebase-memory-mcp has more GitHub stars (45,666 vs 9,491).
Which is more actively developed, bloop or codebase-memory-mcp?: codebase-memory-mcp had more commits in the last 90 days (2,093 vs 0).
Should I use bloop or codebase-memory-mcp?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.