knowledge-base-server MCP Server
willynikes2/knowledge-base-server
[](https://agentrank-ai.com/tool/willynikes2--knowledge-base-server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Make every AI agent you use smarter. Persistent memory with SQLite FTS5, MCP server, Obsidian sync, and self-learning intelligence pipeline.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
willynikes2/knowledge-base-server is a JavaScript MCP server licensed under MIT. Make every AI agent you use smarter. Persistent memory with SQLite FTS5, MCP server, Obsidian sync, and self-learning intelligence pipeline. Topics: ai, ai-agents, knowledge-base, llm, mcp, memory, multi-agent, obsidian, self-learning, sqlite.
Ranked #1719 out of 24846 indexed tools.
In the top 7% of all indexed tools.
Ecosystem
Score Breakdown
189 stars → growing community
Last commit 15d ago → recently updated
5/6 issues closed → responsive maintainer
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# knowledge-base-server **Make every AI agent you use smarter.** A persistent memory system that captures, classifies, synthesizes, and retrieves knowledge for AI agents. One brain, multiple agents, compounding intelligence. Production-proven with 200+ documents, three agents (Claude, Codex, Gemini), and daily use. This is not just a search engine. It is an intelligence pipeline that turns raw information into refined, retrievable knowledge -- and gets smarter every session. --- ## The Problem AI agents are stateless. Every session starts from zero. You end up: - Copy-pasting context between sessions - Re-explaining your codebase, architecture, and preferences - Watching agents hallucinate because they lack YOUR information - Losing debugging insights that took hours to discover - Running multiple agents that can't share what they know The smarter the model, the more painful the amnesia. Context is the bottleneck, not intelligence. ## The Solution knowledge-base-server sits bRead full README on GitHub →
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