Mantic.sh
Context-aware structural code search engine that prioritizes relevance over raw speed. Analyzes file structure, paths, and metadata rather than file contents to help AI agents and developers find relevant code files. Includes go-to-definition, find-references, impact analysis, and session-based context carryover.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Agent execution/shell automation MCP. Shell access means high blast radius. Sandbox required for untrusted inputs. Auth tokens for remote execution must be kept secret.
⚡ Reliability
Best When
You need AI agents to intelligently discover relevant files in large codebases using intent-based queries rather than exact string matching, especially in monorepos with 100K+ files.
Avoid When
You need fast exact string matching or content-level search -- ripgrep is faster for that. Overkill for small projects where a simple grep suffices.
Use Cases
- • AI agent file discovery in large codebases
- • Finding relevant code files by intent rather than exact string match
- • Impact analysis for code changes across monorepos
- • Symbol definition lookup and reference tracking
- • Session-based code exploration with context carryover
Not For
- • Quick exact text/string searches (use ripgrep instead)
- • Interactive file browsing
- • Content-level grep replacement
Interface
Authentication
No authentication required. Runs entirely locally with zero data egress.
Pricing
Dual-licensed: AGPL-3.0 (free) and commercial license for proprietary use.
Agent Metadata
Known Gotchas
- ⚠ Slower than ripgrep for raw text speed -- agents expecting instant results on content search will be disappointed
- ⚠ MANTIC_MAX_FILES default of 5000 may need tuning for very large repos
- ⚠ Semantic reranking requires additional transformer model download
Alternatives
Full Evaluation Report
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Scores are editorial opinions as of 2026-03-07.