llmwiki

A persistent, file-based memory layer for coding agents — give Claude Code, Codex & others a project brain (durable decisions, requirements, constraints) via a zero-dependency CLI.

A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.

The one data index for your agentic applications

LLMWikiNG is a local, privacy-friendly wiki platform developed by ZeroDot1 and based on the Karpathy LLM Wiki Pattern. The wiki is maintained and expanded by AI assistants—and you can easily read, search, and manage it right in your browser.

The intelligence layer behind the organization

A practical playbook for building a personal knowledge system with Obsidian, Claude, Codex, and an LLMWiki-style folder structure.

llmwiki (Quiz_wiki) — auto-captures your coding-agent sessions (Claude Code / Codex / OpenCode) into a compounding, local-first project wiki that quizzes you back. The llmwiki quiz is a daily forgetting-curve quiz (/wiki-quiz) that keeps your memory of your own decisions sharp. Markdown as source of truth, no MCP, no build.

JanusLM is a Two-faced AI agent. One side reads, catalogs, connects. The other acts: writes documents, analyzes data, answers questions.

Open-source, local-first AI agent for coding and real work. BYOK models, MCP, skills, plugins, workflows, and private knowledge bases.

Access your markdown vault via ChatGPT/Claude on Mobile. Obsidian sync compatible.

Serve local Markdown/wiki knowledge folders as agent-readable HTTP, MCP-style, and A2A-style context.

Local-first knowledge app that turns documents, images, and web pages into a connected, searchable, Obsidian-compatible Markdown wiki.

Agent-native LLM Wiki (Karpathy-style) RAG: distill raw docs → structured Markdown wiki → hybrid search via MCP

Static-site template for cross-linked markdown wikis. Themable, search + knowledge graph, deploys to GitHub Pages.

Weave Skills provides small filesystem-native cognitive operational overlays that keep reasoning operational across long-running engineering work, enabling implementation-grounded continuity and contextual recovery across AI-assisted development sessions.

Agent-native LLM Wiki (Karpathy-style) RAG: distill raw docs → structured Markdown wiki → hybrid search via MCP

Personal AI with persistent memory. Turns any LLM into an entity that remembers who you are, learns from your conversations, and grows over time. Local, private, yours.

T Wiki 是用于把代码仓库或 Markdown 资料编译成可提交、可追溯、同时适合人和 Agent 阅读的本地 Wiki。

Source-backed memory for long-running AI agents: maintained synthesis, freshness review, evidence links, and MCP/API access.

🐧 A native GNOME knowledge workstation that turns documents into evolving AI-assisted knowledge bases.