








IWE - Agent Memory in Plain Markdown
A local-first knowledge graph for you and your AI agents. Query markdown like a database, edit it with guarded operations, enforce structure with schemas.
Glimmer · Reproducible AI science
Glimmer turns a research project into a navigable knowledge graph you can explore, run, verify, and extend — reproducibly.
DevReal: Simple Knowledge Graphs with Outlines, neo4j, and Modal, Cameron Pfiffer
LukeW | Common AI Product Issues
At this point, almost every software domain has launched or explored AI features. Despite the wide range of use cases, most of these implementations have been t...

The Definitive Guide to Understand Anything: Turning Code and Knowledge Into Graphs That Teach
You just joined a new team. The codebase is 200,000 lines of code. The original authors left a year ago. The documentation is a wiki last…

notactuallytreyanastasio/deciduous
Decision graph tooling for AI-assisted development - track every choice, query your reasoning
claude-obsidian
Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own. AI note-taking, personal knowledge management (PKM), and an open-source Notion alternative. Based on Karpathy's LLM Wiki pattern.
Cognition | Agent Trace: Capturing the Context Graph of Code
We’re excited to join in Cursor, Cloudflare, Vercel, git-ai, OpenCode and others in support of [Agent Trace](https://agent-trace.dev/). As described in the spec, Agent Trace is an open, vendor-neutral spec for recording AI contributions alongside human authorship in version-controlled codebases.


Wolfram|Alpha: Making the world’s knowledge computable
Wolfram|Alpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels.

Build an LLM Wiki for Your AI Agents
Build an LLM Wiki for Your AI Agents with myKG and Obsidian How to turn a folder of mixed format documents into a typed, interlinked knowledge graph your agents can actually read — using myKG and …

Cody - Sourcegraph docs
Documentation for Sourcegraph, the code intelligence platform.
LLM Knowledge Bases
A visual breakdown of Andrej Karpathy's approach to building personal knowledge bases powered by LLMs. Learn the 4-phase pipeline: ingest, compile, query, and maintain - with an interactive architecture diagram.

DeepWiki | AI documentation you can talk to, for every repo
DeepWiki provides up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub - powered by Devin.

How to Build an LLM Knowledge Base
A hands-on guide to building a simple LLM knowledge base with raw markdown sources, a compiled wiki, reusable prompts, and an agent that keeps improving the knowledge base over time.

The developer's knowledge graph: plain Markdown, Git-native, AI-ready.