MCP 2026 Compatible • Universal Local-First Memory Engine

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An open-source, local-first long-term memory layer for Claude Code, Cursor, Codex, Gemini CLI, and MCP agents. Replaces 80,000-token prompt dumps with bounded, progressive context.

Open Interactive Demo Studio Install CLI in 5s

98.5%

Prompt Token Reduction

< 15ms

Hybrid Retrieval Latency

4 Active

Stored Persistent Memories

30 Tools

MCP 2026 & Tasks Extension

Interactive Memory Studio

Experience the complete MemoryAI engine running live inside your browser.

Durable Memory / Decision Text

Category / Type

Importance (0.0 - 1.0)

Live Engine Execution Log ● WAL ACTIVE

[MemoryAI Engine Ready] Enter a decision, preference, or architectural choice to test durability scoring, entity extraction, and two-phase atomic write.

Search Query / Prompt Intent

Progressive Context Tier

Strict Token Budget Limit 500 tokens

Injected Bounded Context 142 tokens / 98.4% saved

Click 'Execute Hybrid Recall' to retrieve bounded context with exact token budgeting.

Active Memory Ledger

Indexed in local SQLite with FTS5 virtual tables and 384d semantic vectors.

4 Records

Attack Vector Simulation

Malicious / Sensitive Input

Security Shield Evaluation ● OWASP HARDENED

Select an attack scenario and click 'Test Defense & Quarantine' to see real-time deflection, sanitization, and review queue placement.

Create Milestone Snapshot

Freeze the current project memory state into an immutable checksummed milestone.

Snapshot Name

Description

Historical Snapshots

Snapshot & Version Diff Viewer SHA-256 VERIFIED

[Snapshot Engine] No diff selected. Create a snapshot or compare milestones.

Overall Health Score

96 / 100

Optimal State

Confidence Score

98%

High Certainty Records

Conflict Status

0 Active

100% Conflict-Free

Click 'Run 14-Point Doctor' to inspect storage permissions, FTS5 indexes, embedding health, SSRF defense, and handoff engines.

MCP Tool / Method

JSON-RPC 2.0 Parameters

Raw MCP 2026 JSON-RPC Wire Trace STDIO / HTTP

[MCP 2026 Stateless Core Active] Select an MCP tool to inspect the stateless JSON-RPC wire payload.

How MemoryAI Compares

Why standard conversation dumps and naive vector DBs fail in real AI coding workflows.

Capability	Raw Conversation Dumps	Naive Vector DB	MemoryAI Platform
Token Overhead	50k - 100k+ tokens	5k - 20k tokens	150 - 500 bounded (98.5% savings)
Local-First & Offline	No (cloud chats only)	No (external cloud vectors)	100% Local (SQLite FTS5 + Local Vectors)
MCP 2026 Tasks Extension	No	No	Full Support (task_create / get / cancel)
Session Handoffs	Lost every session	No	Automated structured continuity
Prompt Injection Defense	Vulnerable	Vulnerable	Zero-Width defanging & <MEMORY_DATA> sandboxing
Snapshots & Version Diffs	No	No	Point-in-time snapshots and historical diffs

Get Started in Seconds

Works out of the box with Cursor, Claude Code, and Claude Desktop.

1. Install Global CLI

npm install -g memoryai memoryai init memoryai doctor

2. Cursor & Claude Desktop Config

{ "mcpServers": { "memoryai": { "command": "memoryai", "args": ["mcp"] } } }

Remember everything. Send only what matters.