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MemoryGraph

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Graph-based MCP memory server for AI coding agents to store patterns, track relationships, and retrieve knowledge across sessions.

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Описание

Graph-based MCP memory server for AI coding agents to store patterns, track relationships, and retrieve knowledge across sessions.

README

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MemoryGraph

Graph-based Memory CLI for AI Coding Agents

Bun TypeScript Zero Config 5 Backends

A graph-based memory system that gives AI coding agents persistent memory.
Store patterns, track relationships, retrieve knowledge across sessions.


Using with Coding Agents

Coding agents already execute shell commands, so they can use MemoryGraph directly. Two steps: install globally, then add instructions.

Install

cd memory-graph/ts && bun install && bun link
# or: bun build src/cli.ts --compile --outfile ~/.local/bin/memorygraph
memorygraph stats  # verify

memorygraph is now available from any directory. Data persists in ~/.memorygraph/.

Add Agent Instructions

Paste this into your agent's instruction file (~/.claude/CLAUDE.md, .cursorrules, .windsurfrules, or AGENTS.md):

## Memory
`memorygraph` CLI is installed. Use it for persistent memory across sessions.

Before work: `memorygraph recall --query "<task>" --limit 10` and `memorygraph briefing`
On decisions/fixes: `memorygraph store --type solution --title "<title>" --content "<what>" --tags "<component>,fix"`
On errors: `memorygraph store --type error --title "<error>" --content "<details>" --tags "<component>,error"`
Link: `memorygraph link <from-id> <to-id> SOLVES --strength 0.8`
Session end: `memorygraph store --type conversation --title "Session: <topic>" --content "<summary>" --tags "<tags>"`
Types: solution | problem | code_pattern | fix | error | workflow | command | technology
Tags: lowercase, hyphenated, include component (auth, database, cli), 2-5 per memory
Do NOT wait to be asked. Store automatically on triggers.

Example Session

# Start: load context
memorygraph recall --query "authentication redis" --limit 10
memorygraph briefing

# Fix a bug: store problem + solution, link them
memorygraph store --type problem --title "Auth token expiry too short" --content "Tokens expiring after 1h" --tags "auth,bug"
# → abc-123
memorygraph store --type solution --title "Extend token expiry to 24h" --content "Changed JWT expiry, added refresh rotation" --tags "auth,fix" --importance 0.8
# → def-456
memorygraph link def-456 abc-123 SOLVES --strength 0.9

# End: store summary
memorygraph store --type conversation --title "Session: auth token fix" --content "Fixed token expiry, added refresh rotation" --tags "auth,session-summary"

Multi-Project Setup

All projects share ~/.memorygraph/falkordblite.db by default. To isolate per project:

export MEMORY_FALKORDBLITE_PATH=~/.memorygraph/my-project.falkor
# or tag memories with project name and filter:
memorygraph search --query "auth" --tags my-project

Troubleshooting

  • Agent not using commands: Use "REQUIRED"/"MUST" in instructions, include exact commands
  • Command not found: bun link from ts/, or ensure ~/.local/bin is on PATH
  • Memories not persisting: memorygraph config to check path, memorygraph health to verify

Why MemoryGraph?

Graph Relationships Make the Difference

Flat storage (CLAUDE.md, vector stores) keeps memories as isolated entries. Graph storage connects them:

[timeout_fix] --CAUSES--> [memory_leak] --SOLVED_BY--> [connection_pooling]
     |                                                        |
     +------------------SUPERSEDED_BY------------------------+

Query: "What happened with retry logic?" returns the full causal chain, not just individual memories.

When to Use What

Use CLAUDE.md / AGENTS.md For Use MemoryGraph For
"Always use 2-space indentation" "Last time we used 4-space, it broke the linter"
"Run tests before committing" "The auth tests failed because of X, fixed by Y"
Static rules, prime directives Dynamic learnings with relationships

CLI Commands

Memory Operations

Command Purpose Example
store Store a new memory store --type solution --title "Fix" --content "..." --tags redis,fix
get Get a memory by ID get <memory-id>
update Update an existing memory update <id> --title "New title"
delete Delete a memory delete <memory-id>
search Search with filters search --query "timeout" --tags redis --limit 10
recall Natural language recall recall --query "authentication security"
related Get related memories related <id> --types SOLVES,CAUSES --max-depth 2
link Create a relationship link <from-id> <to-id> SOLVES --strength 0.8

Context Search

Command Purpose
context-search Search relationships by type, strength, or context text
contextual-search Search within a memory's related items

Intelligence

Command Purpose
entities Extract entities (files, functions, classes, technologies) from a memory
patterns Find similar problems and suggest patterns
context Get intelligent context retrieval with entity and keyword matching

Analytics

Command Purpose
stats Database statistics (memory count, types, relationships)
activity Recent activity summary with unresolved problems
visualize Graph visualization data (nodes and edges)
similarity Analyze solution similarity for a given memory
learning Recommend learning paths for a topic
gaps Identify knowledge gaps (unsolved problems, missing connections)

Proactive

Command Purpose
briefing Generate a session briefing with recent activity and open issues
predict Predict what might be needed based on current context
warn Warn about potential issues (deprecated approaches, known errors)
outcome Record an outcome for a memory (success/failure tracking)

Integration

Command Purpose
capture Capture task context from current environment
analyze-project Analyze the current project codebase
workflow Track or suggest workflow improvements

Temporal

Command Purpose
as-of Query relationships as they existed at a specific time
history Get full relationship history for a memory
changes Show relationship changes since a timestamp

Data Management

Command Purpose
export Export to JSON or Markdown
import Import from JSON
migrate Migrate between backends
health Run a health check
config Show current configuration

Backends

Backend Type Config Native Graph Zero-Config Best For
falkordblite (default) Embedded File path Cypher Yes Default, graph queries without server
sqlite Embedded File path Simulated Yes Zero-dependency fallback
falkordb Client-server Host:port Cypher No High-performance production
memgraph Client-server Bolt URI Cypher No Real-time analytics
cloud Cloud API Key Cypher No Multi-device sync, team sharing

Backend Configuration

# Use FalkorDBLite (default, zero-config)
bun run src/cli.ts stats

# Use SQLite
MEMORY_BACKEND=sqlite bun run src/cli.ts stats

# Use FalkorDB (client-server)
MEMORY_BACKEND=falkordb MEMORY_FALKORDB_HOST=localhost MEMORY_FALKORDB_PORT=6379 bun run src/cli.ts stats

# Use Memgraph
MEMORY_BACKEND=memgraph MEMORY_MEMGRAPH_URI=bolt://localhost:7687 bun run src/cli.ts stats

# Use Cloud
MEMORY_BACKEND=cloud MEMORYGRAPH_API_KEY=mg_your_key bun run src/cli.ts stats

Environment Variables

Variable Description Default
MEMORY_BACKEND Backend type falkordblite
MEMORY_FALKORDBLITE_PATH FalkorDBLite database path ~/.memorygraph/falkordblite.db
MEMORY_SQLITE_PATH SQLite database path ~/.memorygraph/memory.db
MEMORY_FALKORDB_HOST FalkorDB server host localhost
MEMORY_FALKORDB_PORT FalkorDB server port 6379
MEMORY_MEMGRAPH_URI Memgraph Bolt URI bolt://localhost:7687
MEMORYGRAPH_API_KEY Cloud API key -
MEMORYGRAPH_API_URL Cloud API URL https://graph-api.memorygraph.dev
MEMORY_TOOL_PROFILE Tool profile (core or extended) core
MEMORY_LOG_LEVEL Log level INFO

Memory Types

Type Use Case
task Tasks and action items
code_pattern Recurring code patterns or conventions
problem Problems or challenges encountered
solution Solutions, decisions, or approaches chosen
project Project context, environment, setup info
technology Technology choices and evaluations
error Errors discovered
fix Fixes applied to errors
command Useful commands or CLI snippets
file_context Context about specific files
workflow Workflow or process descriptions
general General purpose memories
conversation Conversation summaries

Relationship Types

Type Meaning
RELATED_TO General connection
BUILDS_ON New memory extends an older one
CONTRADICTS New memory supersedes or invalidates an older one
CONFIRMS New memory provides evidence for an older one
SOLVES A solution solves a problem
CAUSES One memory causes another
REQUIRES One memory depends on another
IMPROVES An improvement over an existing approach
REPLACES Replaces an older approach
DEPENDS_ON Workflow dependency

Memory Best Practices

Session Workflow

# Start of session: recall recent context
bun run src/cli.ts recall --query "recent work" --limit 10

# During work: store decisions and patterns
bun run src/cli.ts store \
  --type solution \
  --title "Use JWT for auth" \
  --content "JWT tokens with 24h expiry, refresh token rotation" \
  --tags "auth,security,api" \
  --importance 0.8

# Link it to a prior decision
bun run src/cli.ts link <new-id> <prior-id> BUILDS_ON --strength 0.9

# End of session: store summary
bun run src/cli.ts store \
  --type conversation \
  --title "Session: auth refactor" \
  --content "Refactored auth middleware, added JWT, fixed token refresh bug" \
  --tags "auth,session-summary"

# Export backup
bun run src/cli.ts export --format json --output session-backup.json

Add to CLAUDE.md or AGENTS.md

## Memory Protocol

### REQUIRED: Before Starting Work
You MUST use `recall` before any task. Query by project, tech, or task type.

### REQUIRED: Automatic Storage Triggers
Store memories on ANY of:
- Git commit: what was fixed/added
- Bug fix: problem + solution
- Architecture decision: choice + rationale
- Pattern discovered: reusable approach

### Memory Fields
- Type: solution | problem | code_pattern | fix | error | workflow
- Title: Specific, searchable
- Content: Accomplishment, decisions, patterns
- Tags: project, tech, category (required)
- Importance: 0.8+ critical, 0.5-0.7 standard, 0.3-0.4 minor
- Relationships: Link related memories when they exist

Architecture

Project Structure

memory-graph/
├── ts/
│   ├── src/
│   │   ├── cli.ts              # CLI entry point (35+ commands)
│   │   ├── index.ts            # Library exports
│   │   ├── config.ts           # Configuration management
│   │   ├── database.ts         # Database interface
│   │   ├── models.ts           # Data models and schemas
│   │   ├── backends/           # Backend implementations
│   │   │   ├── falkordb-shared.ts  # Shared FalkorDB base class
│   │   │   ├── falkordblite.ts     # Embedded FalkorDBLite
│   │   │   ├── falkordb.ts         # Client-server FalkorDB
│   │   │   ├── bolt-shared.ts      # Shared Bolt protocol base
│   │   │   ├── memgraph.ts         # Memgraph (Bolt protocol)
│   │   │   ├── sqlite.ts           # SQLite fallback
│   │   │   ├── cloud.ts            # Cloud REST API
│   │   │   └── factory.ts          # Backend factory
│   │   ├── tools/              # CLI tool handlers
│   │   ├── intelligence/       # Entity extraction, pattern recognition, context retrieval
│   │   ├── analytics/          # Graph visualization, similarity, learning paths
│   │   ├── proactive/          # Session briefing, predictions, outcome learning
│   │   ├── integration/        # Context capture, project analysis, workflow tracking
│   │   ├── migration/          # Backend-to-backend migration
│   │   ├── sdk/                # Cloud API client SDK
│   │   └── utils/              # Export/import, validation, helpers
│   ├── tests/                  # 97 tests
│   └── package.json
├── docs/                       # Documentation
└── CLAUDE.md                   # Agent instructions

Building

cd ts
bun install
bun test                    # Run tests
npx tsc --noEmit            # Type check
bun build src/cli.ts --compile --outfile memorygraph  # Compile binary

Import / Migration

# Import from JSON export
bun run src/cli.ts import --input backup.json --skip-duplicates

# Migrate between backends
bun run src/cli.ts migrate --to sqlite --to-path ./local.db
bun run src/cli.ts migrate --to falkordblite --to-path ./graph.falkor --no-verify
bun run src/cli.ts migrate --to memgraph --to-uri bolt://localhost:7687

SDK

The TypeScript SDK provides a client for the MemoryGraph Cloud API:

import { MemoryGraphClient } from "memorygraph/sdk";

const client = new MemoryGraphClient({ apiKey: "mg_..." });

const memory = await client.createMemory({
  type: "solution",
  title: "Fixed timeout issue",
  content: "Used exponential backoff with retries",
  tags: ["redis", "timeout"],
});

License

MIT License - see LICENSE.


Start simple. Upgrade when needed. Never lose context again.

from github.com/memory-graph/memory-graph

Установка MemoryGraph

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/memory-graph/memory-graph

FAQ

MemoryGraph MCP бесплатный?

Да, MemoryGraph MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для MemoryGraph?

Нет, MemoryGraph работает без API-ключей и переменных окружения.

MemoryGraph — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить MemoryGraph в Claude Desktop, Claude Code или Cursor?

Открой MemoryGraph на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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