AgentIndex icon
AgentIndex
rlm-claude logo
rlm-claude
★ 39
vs
Vault-Agent-Memory logo
Vault-Agent-Memory
★ 50

rlm-claude vs Vault-Agent-Memory

rlm-claude: RLM is an MCP server designed to provide Claude Code with persistent memory, preventing loss of conversation history and context after `/compact` operations. It offers advanced memory management features including insights, chunking, and intelligent retention, enabling more productive and context-aware AI interactions.; Vault-Agent-Memory: Vault Agent Memory provides a governed, shared memory layer for AI agents, helping them manage what to remember, who can access it, and ensure its accuracy and relevance. It solves common agent memory failures like forgetting bug fixes, misprioritizing old information, and uncontrolled shared memory.

01

TL;DR

rlm-claude logo
rlm-claudeMemory & Context · ★ 39

Preventing context and decision loss during long Claude Code development sessions.

Read rlm-claude full review →
Vault-Agent-Memory logo
Vault-Agent-MemoryMemory & Context · ★ 50

Agent developers integrating a governed memory layer into their AI agents.

Read Vault-Agent-Memory full review →
02

Side-by-Side Comparison

Field
rlm-claude logorlm-claude
Vault-Agent-Memory logoVault-Agent-Memory
Category
Memory & Context
Memory & Context
Stars
★ 39
★ 50
License
MIT
Apache-2.0
Install Command
pip install mcp-rlm-server[all]
curl -sSL https://raw.githubusercontent.com/zycaskevin/Vault-Agent-Memory/main/scripts/install.sh | bash && vault quickstart
Updated
2w ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Persistent Memory, Claude Code Integration, Context Management
AI Agent Memory, Memory Governance, Multi-Agent Systems
03

Features

rlm-claude logorlm-claude
01Automatic snapshot saving before context loss during `/compact`.
02Dual memory systems: 'Insights' for key decisions/facts and 'Chunks' for full conversation segments.
03Hybrid search combining BM25 keyword matching and semantic cosine similarity.
04Smart retention lifecycle with active, archive, and purge zones, and immunity for critical data.
05Multi-project and multi-domain organization for memory and search filtering.
Vault-Agent-Memory logoVault-Agent-Memory
01Governed shared memory for multiple AI agents.
02Lifecycle management for memory, including review, promotion, and temporal boundaries.
03Access control and audit trails through governance metadata.
04Local-first architecture with optional self-hosted or cloud backends.
04

Use Cases

rlm-claude logorlm-claude
↳Preventing context and decision loss during long Claude Code development sessions.
↳Efficiently recalling past project details, architectural decisions, and technical findings.
↳Organizing and searching through AI-generated knowledge across different projects and domains.
↳Revisiting debug sessions and past solutions for problem-solving and code refactoring.
↳Maintaining universal rules and preferences that apply across all AI interactions.
Vault-Agent-Memory logoVault-Agent-Memory
↳Agent developers integrating a governed memory layer into their AI agents.
↳Power agent users preventing agents from forgetting crucial information across sessions.
↳Teams collaborating with multiple agents requiring shared, consistent, and auditable memory.
↳Obsidian users safely integrating their notes and knowledge base for agent consumption.
FAQ

FAQ

What is the difference between rlm-claude and Vault-Agent-Memory?
Both rlm-claude and Vault-Agent-Memory are in the Memory & Context category. rlm-claude has 39 stars, while Vault-Agent-Memory has 50 stars.
Which is better, rlm-claude or Vault-Agent-Memory?
The best choice depends on your use case. Choose rlm-claude if Preventing context and decision loss during long Claude Code development sessions., and Vault-Agent-Memory if Agent developers integrating a governed memory layer into their AI agents..
Is rlm-claude free or open source?
Yes, rlm-claude is open source on GitHub (MIT).
Is Vault-Agent-Memory free or open source?
Yes, Vault-Agent-Memory is open source on GitHub (Apache-2.0).
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