MAMA
★ 15
vs
mnemo
★ 12
MAMA vs mnemo
MAMA: MAMA OS provides local operating memory for AI agents, enabling them to connect diverse data sources like chats and documents into a searchable memory substrate. It allows agents to understand context, cite evidence, track decision evolution, and operate within defined boundaries to produce better briefings and actions.; mnemo: Mnemo is an open, free, and unlimited persistent AI memory system featuring hybrid search and embedded synchronization. It integrates full-text search with vector search, temporal decay, and importance boosting for advanced retrieval.
01
TL;DR
MAMAMemory & Context · ★ 15
Assess Project Risk: An agent can assess project risk by synthesizing information from emails, Slack, PR status, and QA checklists.
mnemoMemory & Context · ★ 12
Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
02
Side-by-Side Comparison
Field
MAMAmnemoCategory
Memory & Context
Memory & Context
Stars
★ 15
★ 12
License
MIT
Apache-2.0
Install Command
claude auth login && npx @jungjaehoon/mama-os init && mama start
/plugin marketplace add n24q02m/claude-plugins && /plugin install mnemo-mcp@n24q02m-plugins
Updated
6d ago
2d ago
Open Source
Yes
Yes
Tags
Local Operating Memory, AI Agents, Knowledge Graph
AI Memory, Hybrid Search, Vector Database
03
Features
MAMA01Enables AI agents to read the board, cite evidence, and operate within explicit boundaries using local operating memory.
02Integrates diverse data sources like chats, documents, decisions, and work logs into a unified local memory substrate.
03Builds a knowledge graph that tracks decision evolution, including relationships like 'supersedes', 'builds on', and 'debates'.
04Features strict and balanced search modes that reject vector-only noise unless confirmed by lexical, entity, raw, or seed evidence.
05Ensures agent security through signed runtime envelopes, scope boundaries, and destination limits enforced before tool calls.
mnemo01Hybrid retrieval combining full-text search (FTS5) and vector search, fused via Reciprocal Rank Fusion, then re-ranked with temporal decay and importance boost.
02Automatic entity extraction and relation tracking to build a temporal knowledge graph, boosting top search results by graph proximity.
03Multi-machine sync via Google Drive with JSONL-based merge sync, and end-to-end encrypted passport sync using AES-256-GCM and Argon2id for secure cross-device bootstrap.
04LLM-driven compression of older memories and LLM summarization of related memories for STM-to-LTM consolidation, achieving significant token reduction.
05Zero-config local setup using Fastretrieval's built-in Qwen3 ONNX embedding and reranking models, requiring no external API keys for basic operation.
04
Use Cases
MAMA↳Assess Project Risk: An agent can assess project risk by synthesizing information from emails, Slack, PR status, and QA checklists.
↳Generate Cited Reports: Produce detailed situation reports and briefings for humans, explicitly citing evidence and separating judgment from inference.
↳Automate Workflow Triggers: An agent authors its own triggers from recurring situations, recalling relevant memory and folding everything into owner situation reports.
↳Manage Company Memory Twin: Maintain an append-only company memory twin that agents can inspect, simulate, and cite, preserving raw evidence and its evolution.
mnemo↳Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making.
↳Building and querying a temporal knowledge graph to understand historical states and relationships of entities within an AI system's memory.
↳Synchronizing AI memory across multiple machines or devices securely, enabling a consistent knowledge base for agents.
↳Improving the efficiency of LLM interactions by compressing older memories and consolidating related information.
↳Integrating with various AI clients (e.g., Claude Code, Gemini CLI, Cursor) as an MCP server for advanced memory management.
FAQ
FAQ
What is the difference between MAMA and mnemo?
Both MAMA and mnemo are in the Memory & Context category. MAMA has 15 stars, while mnemo has 12 stars.
Which is better, MAMA or mnemo?
The best choice depends on your use case. Choose MAMA if Assess Project Risk: An agent can assess project risk by synthesizing information from emails, Slack, PR status, and QA checklists., and mnemo if Providing persistent long-term and short-term memory for AI agents to enhance their context and decision-making..
Is MAMA free or open source?
Yes, MAMA is open source on GitHub (MIT).
Is mnemo free or open source?
Yes, mnemo is open source on GitHub (Apache-2.0).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→