Claude Mem vs LLMStack
Side-by-side comparison · Updated October 2026
| Description | Claude Code is powerful, but it starts every session with a blank slate. You explain your project structure, coding conventions, and past decisions over and over. Claude Mem fixes this by giving Claude Code a persistent memory layer. The plugin works as a lightweight MCP server that Claude Code connects to automatically. When you tell Claude something important — a naming convention, an architectural decision, a bug fix rationale — you can save it to memory with a simple command. On the next session, Claude Code loads those memories as context before it starts working. Memories are stored as structured files in your project directory. Each memory has a category (architecture, convention, decision, bugfix, todo) and a relevance scope (project-wide or directory-specific). This structure means Claude Code loads only relevant memories, keeping the context window clean. The plugin ships with automatic memory extraction too. When Claude Code finishes a task, Claude Mem can prompt it to save key learnings. This creates a growing knowledge base that gets smarter over time. After a week of use, Claude Code knows your project's patterns, your team's style, and your past debugging sessions. Installation takes about two minutes. Clone the repo, add it to your Claude Code MCP settings, and restart. No database to set up, no API keys to configure. Everything lives in your project's .claude-mem directory, which you can commit to git for team sharing. Claude Mem is free and open source. It works with any Claude Code setup — free tier, Pro, or Max. The memory format is plain Markdown, so you can read and edit memories directly if you want more control. | LLMStack is a source-available builder for AI agents, workflows and chatbots that combine model calls with your own data. Its visual builder can chain multiple models and connect data sources, making it more suitable for assembling an application or process than for simply opening a personal chat app. The project documents deployment on your own infrastructure and points to Promptly as its hosted offering. Supported data inputs include documents, websites and connected sources such as Google Drive and Notion. The builder provides preprocessing and vectorization for retrieval workflows. Apps can be shared publicly or with selected people, and viewer and collaborator permissions control access to shared work. The repository also documents HTTP API access and Slack or Discord triggers. Plan for infrastructure, model-provider usage, credentials and permissions as separate decisions. Installing a self-hosted builder does not make externally hosted models free or keep every data request local. Start with a limited workflow and representative documents, review the generated output, and confirm the permissions required by each connected source before expanding access. Compare AnythingLLM when a document-chat workspace is the main need; LLMStack is oriented toward composing the application and its workflow. |
| Category | DeveloperApplication | AI Assistant |
| Rating | No reviews | No reviews |
| Pricing | Free | Unknown |
| Starting Price | Free | N/A |
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| Tags | claude-code-pluginpersistent-memorycontext-managementmcp-serverdeveloper-tools | Open sourceAI agentsWorkflowsApplicationsData |
| Features | ||
| Persistent memory storage across Claude Code sessions with no re-explanation needed | ||
| Structured memory categories: architecture, convention, decision, bugfix, todo | ||
| Scoped relevance — project-wide or directory-specific memory loading | ||
| Automatic memory extraction prompts after task completion | ||
| Plain Markdown memory format that is human-readable and editable | ||
| MCP server integration — connects to Claude Code in two minutes | ||
| Git-friendly storage in .claude-mem directory for team sharing | ||
| Zero configuration — no database, no API keys, no external dependencies | ||
| Works with all Claude Code tiers: free, Pro, and Max | ||
| Growing knowledge base that accumulates project intelligence over time | ||
| Visual AI workflow and model-chain builder | ||
| Data imports from documents, websites and connected services | ||
| Document preprocessing and vectorization | ||
| Viewer and collaborator permissions | ||
| Self-hosted deployment instructions | ||
| Hosted offering through Promptly | ||
| HTTP API access for apps and chatbots | ||
| Slack and Discord workflow triggers | ||
| View Claude Mem | View LLMStack | |
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