willynikes2

willynikes2 / knowledge-base-server

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Make every AI agent you use smarter. Persistent memory with SQLite FTS5, MCP server, Obsidian sync, and self-learning intelligence pipeline.

ai ai-agents knowledge-base llm mcp
23
3
100% credibility
Found Mar 18, 2026 at 37 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A local server that ingests, organizes, and retrieves personal knowledge from notes, web clips, videos, and sessions for AI agents via simple connections.

How It Works

1
👀 Discover the memory helper

You hear about a simple tool that gives your AI assistants a shared brain to remember all your notes and learn from your work.

2
💻 Easy setup on your computer

You download it and run a quick wizard that asks a few questions to get everything ready in under a minute.

3
📁 Connect your personal notes

You link your note folder, web clips, video transcripts, and bookmarks so all your knowledge flows in automatically.

4
📝 Capture daily insights

Save bug fixes, terminal sessions, articles, and ideas with simple commands or your AI does it for you.

5
🤖 Link to your AI helpers

Your AI like Claude or others now talks to this brain, searching and using your knowledge in every chat.

6
🔍 Search and retrieve instantly

Ask questions and get smart summaries or full details from your growing knowledge base right away.

🚀 AI gets smarter every day

Over time, your AI builds on past lessons, fixes mistakes faster, and feels like it truly knows you and your projects.

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Star Growth

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AI-Generated Review

What is knowledge-base-server?

This JavaScript knowledge base server turns stateless AI agents into a shared, compounding brain. It ingests Obsidian vaults, YouTube transcripts, web clips, X bookmarks, and terminal sessions into SQLite with FTS5 search, then serves them via MCP protocol for Claude or REST API for any agent. Run `kb setup` for instant CLI, dashboard, and agent registration—making every day count by capturing fixes and lessons that stick across sessions.

Why is it gaining traction?

Unlike basic RAG tools, it builds an intelligence pipeline: auto-classify raw captures, promote to insights, synthesize weekly themes, and tier memory (hot/warm/cold) for precise retrieval. MCP server edges out plain knowledge base serverless options by plugging directly into Claude Code—no custom prompts needed. Token savings from summary briefings make GitHub Copilot faster on your codebase.

Who should use this?

Solo devs or small teams using Claude, Gemini, or multi-agent workflows for coding/debugging, tired of re-explaining architecture each session. Perfect if you live in Obsidian and want agents to search fixes, workflows, or project decisions via `kb_search` or `kb_context`. Skip if you're not on MCP or prefer hosted knowledge base aurora serverless.

Verdict

Grab it if MCP and Obsidian sync align—quick wins for agent-heavy days, with strong CLI like `kb capture_fix`. But 23 stars and 1.0% credibility signal early maturity; docs shine, but prod-test lightly until more battle scars emerge.

(198 words)

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