zenbrain

InstallView on GitHub

zenbrain is an MCP server by zensation-ai. Dynamic agent memory for LLM agents: 7 neuroscience-inspired layers (working, episodic, semantic, procedural) with FSRS spaced repetition and memory consolidation. Zero-dependency TypeScript library, Model Context Protocol (MCP) server, Vercel AI SDK middleware. Paper: arXiv 2604.23878 · reproductio. It has 27 GitHub stars and ranks #747 of 1287 in Memory & Knowledge by stars.

Category
Memory & Knowledge
Author
zensation-ai
GitHub stars
27
This week
Tracking since 18 Oct 2026
Weekly downloads
491
Language
TypeScript
License
Apache-2.0 (open source)
Last update
2026-10-18 (6 days ago)
Links
SourceWebsitenpm

How to install zenbrain

zenbrain is published on npm as @zensation/mcp, and it is listed in the official MCP Registry. These steps assume it runs as a local stdio server, which is the usual setup.

  1. Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need Node.js for npx.
  2. Add it to Claude Code from a terminal:
    claude mcp add zenbrain -- npx -y @zensation/mcp
  3. Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:
    {
      "mcpServers": {
        "zenbrain": {
          "command": "npx",
          "args": [
            "-y",
            "@zensation/mcp"
          ]
        }
      }
    }
  4. Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm zenbrain and its tools are listed. The install guide covers VS Code and Codex.

Also listed in

Maintain this project? Get it featured ($99/mo, pinned at the top of Memory & Knowledge) or see what featuring includes.

Report a problem with this listing

Frequently asked questions

What is zenbrain?

zenbrain is an MCP server by zensation-ai in the Memory & Knowledge category. Dynamic agent memory for LLM agents: 7 neuroscience-inspired layers (working, episodic, semantic, procedural) with FSRS spaced repetition and memory consolidation. Zero-dependency TypeScript library, Model Context Protocol (MCP) server, Vercel AI SDK middleware. Paper: arXiv 2604.23878 · reproductio. It has 27 GitHub stars and ranks #747 of 1287 in Memory & Knowledge by stars.

Is zenbrain free and open source?

Yes. zenbrain is published under the Apache-2.0 license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to zenbrain?

Other Memory & Knowledge projects on MCP Harbor include open-webui, graphify, claude-mem. Each alternative links to its own page with stars, license and recent activity. The Memory & Knowledge category ranks all 1287 by stars, and you can re-sort it by growth this week.

Alternatives to zenbrain

open-webui · Python+650 stars this week (+0.4%)
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
graphifyTrending★ 134,032
Graphify-Labs · Python+6,459 stars this week (+5.1%)
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
thedotmack · TypeScript+1,292 stars this week (+1.3%)
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
ragflowTrending★ 92,783
infiniflow · Go+413 stars this week (+0.4%)
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
lobehub★ 83,457
lobehub · TypeScript+167 stars this week (+0.2%)
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
headroomlabs-ai · Python+2,109 stars this week (+2.8%)
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

All 1287 Memory & Knowledge MCP servers →

Data last updated . Stars and downloads are refreshed every day from GitHub and npm.

Contact MCP Harbor

We reply by email. You can also write to hello@spone.io.

Report a problem with this listing

zenbrainzensation-ai · /tools/zensation-ai-zenbrain/

We reply by email.