AgentIndex icon
AgentIndex
mnemosyne logo
mnemosyne
★ 151
vs
claude-mem-lite logo
claude-mem-lite
★ 67

mnemosyne vs claude-mem-lite

mnemosyne: Mnemosyne provides persistent memory for AI agents, enabling them to carry work forward, recover original evidence, and adapt by retiring obsolete lessons when their source changes. It connects memory to its consequences, allowing agents to resume from handoffs, withhold skills after failures, and benefit from a wiser start.; claude-mem-lite: claude-mem-lite provides a persistent, cross-session memory system for Claude Code, automatically capturing coding observations and decisions. It uses an MCP server and hooks for efficient, cost-optimized context recall via hybrid full-text and semantic search.

01

TL;DR

mnemosyne logo
mnemosyneMemory & Context · ★ 151

Building AI agents that require long-term, verifiable memory for decision-making and learning.

Read mnemosyne full review →
claude-mem-lite logo
claude-mem-liteMemory & Context · ★ 67

Recalling past bug fixes and coding decisions across sessions.

Read claude-mem-lite full review →
02

Side-by-Side Comparison

Field
mnemosyne logomnemosyne
claude-mem-lite logoclaude-mem-lite
Category
Memory & Context
Memory & Context
Stars
★ 151
★ 67
License
MIT
MIT
Install Command
git clone --branch v2.0.0-rc.9 --depth 1 https://github.com/28naem-del/mnemosyne.git && cd mnemosyne && npm ci --ignore-scripts && npm run build
npx github:sdsrss/claude-mem-lite
Updated
2d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Persistent Memory, Context Management
Persistent Memory, LLM Memory Management, Claude Code Plugin
03

Features

mnemosyne logomnemosyne
01Memory with evidence: Private-by-default records, explicit sharing, corrections, conflicts, source history, and dependent retirement.
02Continuity across agents: Structured checkpoints preserve goals, decisions, artifacts, and next actions; source changes can retire obsolete handoffs.
03Adaptive context: Budgeted observations, hierarchical summaries, and expandable original source bytes, with evidence revalidation.
04Recall across words and meaning: Scoped BM25 by default; optional embeddings, hybrid fusion, and reranking over authorized records.
05Evidence-gated skills: Candidate procedures, explicit trial requirements, and retirement after failed or changed evidence.
claude-mem-lite logoclaude-mem-lite
01Automatic observation capture via Claude Code hooks.
02Hybrid full-text and semantic search (FTS5 + TF-IDF) with RRF.
03Episode batching for significant LLM cost reduction.
04Error-triggered and proactive file history recall.
05Cross-language synonym expansion (CJK↔EN) for enhanced search.
04

Use Cases

mnemosyne logomnemosyne
↳Building AI agents that require long-term, verifiable memory for decision-making and learning.
↳Enabling agents to resume complex tasks or projects across multiple sessions or handoffs without losing context.
↳Developing AI systems that adapt to new information by invalidating or correcting outdated knowledge based on source changes.
↳Creating self-improving agents where skills are refined or retired based on trial outcomes and evidence.
↳Managing dynamic context for large language models, ensuring relevance and adherence to evidence within token budgets.
claude-mem-lite logoclaude-mem-lite
↳Recalling past bug fixes and coding decisions across sessions.
↳Maintaining project context for AI coding agents over long periods.
↳Automatically getting relevant historical context when interacting with files.
↳Optimizing LLM token usage and cost for AI agent memory.
↳Zero-touch documentation of coding workflows and lessons learned.
FAQ

FAQ

What is the difference between mnemosyne and claude-mem-lite?
Both mnemosyne and claude-mem-lite are in the Memory & Context category. mnemosyne has 151 stars, while claude-mem-lite has 67 stars.
Which is better, mnemosyne or claude-mem-lite?
The best choice depends on your use case. Choose mnemosyne if Building AI agents that require long-term, verifiable memory for decision-making and learning., and claude-mem-lite if Recalling past bug fixes and coding decisions across sessions..
Is mnemosyne free or open source?
Yes, mnemosyne is open source on GitHub (MIT).
Is claude-mem-lite free or open source?
Yes, claude-mem-lite is open source on GitHub (MIT).
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Related

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