See why engineering teams replace probabilistic vector databases, LLM write-wrappers, and static AST wiki-graphs with Memoria's deterministic memory engine (100.0% on LongMemEval in 12.9 ms, 70%+ Claude Code token savings, and $0 LLM write cost).
Replace Mem0's 1–2 paid LLM calls per write and probabilistic vector extraction with 100.0% (500/500) LongMemEval accuracy in 12.9 ms and $0 write cost.
Compare Memoria's 12.9 ms deterministic memory engine (500/500 LongMemEval) against Zep/Graphiti's async LLM extraction pipeline (451/500 · 90.2% at 104–162 ms).
Keep Claude Code, Cursor, Windsurf, and OpenCode as your agent runtime while adding 12.9 ms deterministic memory (100% LongMemEval vs. Letta's 74.0% LOCOMO).
Skip multi-second Python LLM graph-building jobs (cognee.cognify) and get synchronous <15 ms writes, 12.9 ms recall, and 30 MCP tools out of the box.
Go beyond consumer bookmarking and RAG wrappers with deterministic Supersedes belief revision, 30 code-aware MCP tools, and 100.0% LongMemEval accuracy.
Stop Claude Code from re-reading your entire repository every session. Get 70%+ token savings (turning a $20 Claude Pro plan into a $100 Max plan) at <20ms Rust latency — without the terminology collisions and git-checkout staleness of static AST/Obsidian wiki-graphs.
Why engineering teams replace LLM-wrapper memory services and vector databases with Memoria's deterministic memory engine.
| Capability | Memoria | Hindsight | Mem0 | Zep / Graphiti | Cognee | Letta (MemGPT) |
|---|---|---|---|---|---|---|
| LongMemEval Accuracy | 100.0% (500 / 500) | 94.6% (LongMemEval-S) | 93.4% (claimed) | 90.2% (451 / 500) | Not published | 74.0% (LOCOMO) |
| Multilingual / Hebrew LongMemEval | 100.0% (102 / 102 · 15 langs) | English-centric | LLM prompt dependent | English-centric | LLM prompt dependent | LLM prompt dependent |
| LLM Tokens Spent per Write | 0 tokens ($0) | LLM extraction / reflect() | 1–2 LLM calls / write | Async LLM extraction | Python ECL LLM pipeline | Agent tool-call tokens |
| Recall Latency | 12.9 ms | 50–350 ms (Postgres) | 400–1,800 ms | 104 ms p50 / 162 ms p95 | 250–1,400 ms | 500–2,500 ms |
| Deterministic Belief Revision | Automatic Supersedes revision | Entity consolidation | Probabilistic LLM prompt | Temporal window (t_invalid) | Graph re-indexing | Agent file overwrite |
| Code Graph & MCP Tools | 30 MCP tools + 3 resources | Memory bank tools | 11 text memory tools | Graph search tools | 14 MCP tools (codify) | Agent harness only |
One installer automatically configures Claude Code, Cursor, Windsurf, OpenCode, Claude Desktop, OpenAI Codex CLI, Gemini CLI, VS Code Copilot, Zed, Cline, Roo Code, Kilo Code, Continue.dev, Goose, and Amp.
Includes 8 automatic lifecycle hooks (SessionStart, PreCompact, PostCompact, UserPromptSubmit, PostToolUse, Stop), 4 slash commands (/memoria-sync, /memoria-sync-code, /memoria-wrap-up, /memoria-doctor), 30 MCP tools, and 3 MCP resources (@memory://rules).
curl -fsSL https://memoria.kolivri.com/downloads/install.sh | MEMORIA_KEY=mem_dev_your_key_here bash
~/.cursor/mcp.json · auto-configured by installer, 1-click button above, or paste JSON)
{
"mcpServers": {
"memoria": {
"type": "http",
"url": "https://memoria.kolivri.com/v1/mcp",
"headers": { "Authorization": "Bearer mem_dev_your_key_here" }
}
}
}
~/.codeium/windsurf/mcp_config.json · auto-configured by installer or paste JSON)
{
"mcpServers": {
"memoria": {
"type": "http",
"url": "https://memoria.kolivri.com/v1/mcp",
"headers": { "Authorization": "Bearer mem_dev_your_key_here" }
}
}
}
~/.codex/mcp.json + ~/.codex/AGENTS.md)
curl -fsSL https://memoria.kolivri.com/downloads/install.sh | MEMORIA_KEY=mem_dev_your_key_here bash
~/.config/opencode/plugins/memoria-hooks.js + opencode.json)
curl -fsSL https://memoria.kolivri.com/downloads/install.sh | MEMORIA_KEY=mem_dev_your_key_here bash
claude_desktop_config.json · auto-configured by installer)
{
"mcpServers": {
"memoria": {
"type": "http",
"url": "https://memoria.kolivri.com/v1/mcp",
"headers": { "Authorization": "Bearer mem_dev_your_key_here" }
}
}
}
~/.vscode/mcp.json · auto-configured by installer or 1-click button)
{
"mcpServers": {
"memoria": {
"type": "http",
"url": "https://memoria.kolivri.com/v1/mcp",
"headers": { "Authorization": "Bearer mem_dev_your_key_here" }
}
}
}
~/.config/zed/settings.json · auto-configured by installer)
{
"context_servers": {
"memoria": {
"url": "https://memoria.kolivri.com/v1/mcp",
"headers": { "Authorization": "Bearer mem_dev_your_key_here" }
}
}
}
~/.cline/mcp_settings.json), Roo Code (~/.roo/mcp.json) & Kilo Code (~/.kilocode/mcp.json)
{
"mcpServers": {
"memoria": {
"type": "http",
"url": "https://memoria.kolivri.com/v1/mcp",
"headers": { "Authorization": "Bearer mem_dev_your_key_here" }
}
}
}
~/.gemini/settings.json), Goose (~/.config/goose/mcp.json), Amp & Continue.dev
curl -fsSL https://memoria.kolivri.com/downloads/install.sh | MEMORIA_KEY=mem_dev_your_key_here bash
$env:MEMORIA_KEY="mem_dev_your_key_here"; irm https://memoria.kolivri.com/downloads/install.ps1 | iex
https://memoria.kolivri.com/v1/memories/context)
curl -fsSL --proto '=https' --tlsv1.2 -X POST https://memoria.kolivri.com/v1/memories/context \
-H "Authorization: Bearer mem_dev_your_key_here" \
-H "Content-Type: application/json" \
-d '{"namespace":"my-project","query":"architecture decisions and active tasks","token_budget":4096}'
f4842aad57fe07ecb9e881b48b2b648504f4a462abcbb16eb5e111bd24704229 · (.zip): 20a2f5af3e31a8cf32a41f5056f6f2e9771a7ae98379bdade5d261f1df9132f0
SessionStart and restores working state after context compaction.