gimalay

Software engineer

[iwe @iwe_md]

How we measured a markdown knowledge graph as agent memory — lost to grep, rebuilt our search and editing primitives, retracted our own best number, and ended with a $4.50 curator whose store reads back at 96% of a hand-built ceiling in a single call.

https://t.co/UIzTA0uMvF

[Tom Dörr @tom_doerr]

IWE turns markdown into a knowledge graph, processing 20k files/sec.

https://t.co/BTS3CMWy7u

[gimalay @gimalay]

@tom_doerr More details on how to use iwe for agent memory

https://t.co/Sat0mTs2W1

[cv usk @cv_usk]

The ultimate "second brain" for AI agents to perfectly understand your context 🧠
Check out "IWE", a next-gen Markdown knowledge management system built in Rust!

It ditches traditional folders, connecting notes via links to build a flexible "Knowledge Graph".
With native MCP support, tools like Claude and Cursor can directly explore, read, and write to your personal knowledge base ⚡

https://t.co/LmlKLfhvSH

#LLM #AI #MCP #Markdown #KnowledgeGraph #Rust #ContextEngineering

[cv usk @cv_usk]

AIエージェントに「自分の文脈」を完璧に理解させる、次世代の第二の脳🧠

Rust製のMarkdownナレッジ管理システム「IWE」が面白いです！

フォルダ管理を廃止してノートをリンクで繋ぐ「ナレッジグラフ」を構築。MCPにネイティブ対応しており、ClaudeやCursorがあなたの知識ベースを直接探索・読み書きできるようになります⚡

https://t.co/LmlKLfhvSH

#LLM #AI #MCP #Markdown #KnowledgeGraph #Rust #ContextEngineering

[Tom Dörr @tom_doerr]

Structured knowledge graph for AI agent navigation

https://t.co/BTS3CMWy7u

[iwe @iwe_md]

https://t.co/ibbjHfqsjc

[iwe @iwe_md]

iwe v0.1.0 — query your markdown knowledge graph

YAML filter expressions, graph traversal (--includes, --references), frontmatter projection into JSON, new count & update commands.

Your docs are a queryable database now.

https://t.co/lydbxm0RVt

[iwe @iwe_md]

iwe schema — scan your knowledge base and get the full frontmatter structure: field names, types, coverage, distinct values, and distributions.

One command to understand how your documents are shaped.

https://t.co/oqE3kGMcnq

[iwe @iwe_md]

iwe processes 20,000 documents in under a second.

No database, no indexing step — just plain markdown files parsed into a graph and ready for instant search and filtering.

Benchmarks: https://t.co/B7qyFOwnOg

[iwe @iwe_md]

Your markdown notes are a graph. Now you can query it like one.

iwe just got structural set selectors — slice your knowledge base by intersection of parent docs:

iwe find --in projects/alpha --in topics/security

→ everything security-related inside the Alpha project.

[Tom Dörr @tom_doerr]

Structured knowledge graph for AI agent memory

https://t.co/BTS3CMWy7u

[iwe @iwe_md]

New in iwe: configurable markdown formatting.

Your formatter, your style. Choose emphasis chars, list markers, fence chars — iwe normalizes every note in your vault to match.

https://t.co/oqE3kGMcnq

#markdown #pkm #rust

[iwe @iwe_md]

How I turned three philosophy books into a searchable knowledge graph https://t.co/UgngOfWJDs

[gimalay @gimalay]

@DataChaz I've built CLI/MCP tool for markdown graph management which I use for agentic AI memory. It's open source https://t.co/0GHhUAYMoU

[gimalay @gimalay]

@rohanpaul_ai I've built CLI/MCP tool for markdown knowledge graph management which I use for agentic AI memory. It's open source, I hope you will find it useful https://t.co/0GHhUAYMoU

[gimalay @gimalay]

@tom_doerr Thanks for posting about IWE. Here is an article with additional details about this project

https://t.co/YWIpuN1F3o

[Tom Dörr @tom_doerr]

Hierarchical knowledge graph for AI agents

https://t.co/BTS3CMWy7u

[gimalay @gimalay]

"Markdown Knowledge Graph for Humans and Agents" by Dmytro Halichenko #DEVCommunity https://t.co/YWIpuN1F3o

[gimalay @gimalay]

@prod42net Thanks for the kind words. I hope you find iwe helpful!