anime-mori

name	anime-mori
description	Persistent codebase intelligence. Learns patterns, conventions, and architecture from your codebase via tree-sitter AST parsing (12 languages) and remembers across sessions. MCP server with 13 tools for semantic search, pattern prediction, file routing, and project blueprints.
license	MIT
metadata	{"version":"0.6.0","runtime":"node>=18","dependencies":{"required":["@modelcontextprotocol/sdk","@surrealdb/node","tree-sitter (via rust-core NAPI bindings)"],"optional":["@xenova/transformers"]},"env_vars":{"required":[],"optional":["ANIME_MORI_DB_PATH"]}}

Anime Mori: Persistent Codebase Intelligence

"Your AI pair programmer finally has a notepad that doesn't get wiped clean."

Overview

Anime Mori is the codebase memory skill of the Cognitive Construct. It solves session amnesia — the problem where AI assistants forget your architecture, naming conventions, and design decisions every time you start a new session.

Built on Rust (tree-sitter AST parsing) + TypeScript (MCP server + orchestration), it learns once and remembers forever via SurrealDB persistence.

Architecture

AI Tool (Claude/Copilot)
  │ MCP Protocol (stdio)
  ▼
TypeScript Server — 13 tools, 4 categories
  │ NAPI bindings
  ▼
Rust Core — tree-sitter, pattern learning, semantic engine
  │
  ▼
Storage — SurrealDB (persistent vectors) + SQLite (structured data)

Commands

learn <path>

Analyze and learn from a codebase. Extracts patterns, architecture, and conventions.

npx anime-mori learn ./my-project

server

Start the MCP server for AI tool integration.

npx anime-mori server

search <query>

Multi-mode codebase search (semantic, text, or pattern-based).

npx anime-mori search "authentication middleware"

analyze <path>

Analyze files/directories with concepts, patterns, and complexity metrics.

insights <query>

Query learned semantic concepts and relationships.

patterns

Get pattern recommendations with examples from your codebase.

predict

Predict implementation approach based on your coding history.

status

System health check.

MCP Tools (13)

Category	Tools	Description
Core Analysis (2)	analyze_codebase, search_codebase	File/directory analysis, multi-mode search
Intelligence (7)	learn_codebase_intelligence, get_project_blueprint, get_semantic_insights, get_pattern_recommendations, predict_coding_approach, get_developer_profile, contribute_insights	Deep learning, blueprints, predictions
Automation (1)	auto_learn_if_needed	Smart auto-learning with staleness detection
Monitoring (3)	get_system_status, get_intelligence_metrics, get_performance_status	Health, analytics, diagnostics

Language Support

Native AST parsing via tree-sitter (12 languages):

TypeScript, JavaScript (JSX/TSX), Python, Rust, Go, Java, C, C++, C#, Svelte, SQL, PHP

Synergies

• → Encyclopedia: Vendored at encyclopedia/scripts/anime-mori/ — encyclopedia can invoke Anime Mori's MCP tools for codebase context during knowledge retrieval
• → Inland Empire: Learned patterns and conventions feed into the subconscious memory layer

Files

• src/ — TypeScript source (CLI, MCP server, engines, storage)
• rust-core/ — Rust NAPI bindings (tree-sitter parsers, analyzers)
• src/mcp-server/server.ts — MCP server entry point
• src/cli/cli.ts — CLI entry point
• src/engines/ — Semantic and pattern analysis engines
• src/storage/ — SurrealDB persistence layer
• README.md — Full documentation with setup guides