In-Memoria MCP server

Name: In-Memoria
Author: pi22by7

Persistent Intelligence Infrastructure for AI Agents

What In-Memoria does

Summarised from the project README; check the repository for the latest details.

Features

Learns your patterns - Analyzes your code to understand naming conventions, architectural choices, and structural preferences
Instant project context - Provides tech stack, entry points, and architecture in <200 tokens (no re-analysis needed)
Smart file routing - Routes vague requests like "add password reset" directly to relevant files
Semantic search - Finds code by meaning, not just keywords
Work memory - Tracks current tasks and architectural decisions across sessions
Pattern prediction - Suggests how you'd solve similar problems based on your history

Tools exposed (13)

analyze_codebase – Analyze files/directories with concepts, patterns, complexity (Phase 4: now handles both files and directories)
search_codebase – Multi-mode search (semantic/text/pattern)
learn_codebase_intelligence – Deep learning to extract patterns and architecture
get_project_blueprint – Instant project context with tech stack and entry points ⭐ (Phase 4: includes learning status)
get_semantic_insights – Query learned concepts and relationships
get_pattern_recommendations – Get patterns with related files for consistency
predict_coding_approach – Implementation guidance with file routing ⭐
get_developer_profile – Access coding style and work context
contribute_insights – Record architectural decisions
auto_learn_if_needed – Smart auto-learning with staleness detection ⭐ (Phase 4: includes quick setup functionality)
get_system_status – Health check
get_intelligence_metrics – Analytics on learned patterns
get_performance_status – Performance diagnostics

Requirements

VS Code 1.106+
GitHub Copilot Chat enabled
In Memoria MCP server configured and running

Repository: pi22by7/In-Memoria
Stars: ★174
Language: Rust
Last updated: 2025-12-23
ai-agentsai-toolscodebase-intelligencedeveloper-toolslocal-firstmcp-serverpersistent-memory

How to install In-Memoria

No install config was found in this README. See the repository for setup steps, then follow our guides for Claude Desktop, Cursor or VS Code.

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