Alimenter votre agent
Installation de l'éditeur. Ce n'est pas un endpoint PlugMCP.
Host a copy with our keys and logs.
Pas encore de version packagée dans le registre. Suivez le README du dépôt.
URL distante ou commande sur votre machine ? Ce qui distingue les deux installations
Exécuter sur PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
LancerDe l'éditeur
A self-hosted, graph-aware memory server for AI assistants. Built on Cloudflare Workers + D1.
MemoryVault gives AI clients (Claude, ChatGPT, etc.) persistent memory across sessions via the Model Context Protocol (MCP). Store notes, facts, and journal entries. Link related memories into a knowledge graph. Search with hybrid lexical + semantic retrieval.
MemoryVault — a self-hosted, graph-aware memory server for AI assistants. Cloudflare Workers + D1 + MCP.
/viewgit clone https://github.com/guirguispierre/memoryvault.git
cd memoryvault
npm install
cp .dev.vars.example .dev.vars
# Edit .dev.vars with your own secrets
# Create D1 database
npx wrangler d1 create ai-memory
# Update wrangler.toml with your database_id
# Create KV namespace for rate limiting
npx wrangler kv namespace create RATE_LIMIT_KV
# Update wrangler.toml with the KV namespace id
# Create Vectorize indexes (for semantic search)
npx wrangler vectorize create ai-memory-semantic-v1 --dimensions=768 --metric=cosine
npx wrangler d1 execute ai-memory --local --file=schema.sql
npm run dev
# Set secrets
npx wrangler secret put AUTH_SECRET
npx wrangler secret put ADMIN_TOKEN
# Apply schema to remote D1
npx wrangler d1 execute ai-memory --remote --file=schema.sql
# Deploy
npm run deploy
Point your MCP client to:
https://<your-worker>.<your-subdomain>.workers.dev/mcp
OAuth mode (recommended): Leave the API key empty. The server responds with OAuth discovery metadata. Your client handles the flow automatically.
Legacy bearer mode: Send Authorization: Bearer <AUTH_SECRET> for simple setups.
Tech stack: Cloudflare Workers, D1 (SQLite), Vectorize, Workers AI (@cf/baai/bge-base-en-v1.5), MCP SDK
Memory operations: memory_save, memory_get, memory_get_fact, memory_search, memory_context_pack, memory_list, memory_update, memory_delete, memory_reindex, memory_stats
Graph: memory_link, memory_unlink, memory_links, memory_link_suggest, memory_path_find, memory_subgraph, memory_neighbors, memory_graph_stats, memory_tag_stats
Knowledge management: memory_consolidate, memory_forget, memory_activate, memory_reinforce, memory_decay, memory_conflicts, memory_conflict_resolve, memory_entity_resolve
Trust & policy: memory_source_trust_set, memory_source_trust_get, brain_policy_set, brain_policy_get
Snapshots: brain_snapshot_create, brain_snapshot_list, brain_snapshot_restore
Objectives: objective_set, objective_list, objective_next_actions
Observability: memory_changelog, memory_watch, memory_explain_score, tool_manifest, tool_changelog
npm run dev # Start local worker
npm run type-check # TypeScript check
npm run deploy # Deploy to Cloudflare
Smoke test:
ADMIN_TOKEN=... npm run smoke:oauth-isolation
Notes:
npx wrangler dev --remote for full functionality--local D1 by defaultSee CONTRIBUTING.md.
MemoryVault — a self-hosted, graph-aware memory server for AI assistants. Cloudflare Workers + D1 + MCP.
Outils
Pas encore de liste d'outils. Les serveurs distants en obtiennent une après le premier contrôle d'état.
FAQ
Copiez sur cette page la configuration stdio pour Cursor, Claude Desktop, Claude Code ou VS Code. Elle utilise l'installation de l'éditeur, pas un proxy PlugMCP.
Aucune variable d'environnement requise n'est indiquée sur cette fiche.
Memoryvault s'exécute en local via stdio.
Dernière vérification : 2026-10-28. MemoryVault — a self-hosted, graph-aware memory server for AI assistants. Cloudflare Workers + D1 + MCP.
