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.
-
Updated
Oct 21, 2026 - JavaScript
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.
Open-source, local-first AI agent for coding and real work. BYOK models, MCP, skills, plugins, workflows, and private knowledge bases.
The one data index for your agentic applications
开源 · 本地优先的 AI 智能体:编程与实干兼备。 自带模型密钥,内置 MCP、技能、插件、工作流、知识库以及数据库。
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.
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.
JanusLM is a Two-faced AI agent. One side reads, catalogs, connects. The other acts: writes documents, analyzes data, answers questions.
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.
Agent-native LLM Wiki (Karpathy-style) RAG: distill raw docs → structured Markdown wiki → hybrid search via MCP
Local-first knowledge app that turns documents, images, and web pages into a connected, searchable, Obsidian-compatible Markdown wiki.
Structural LLM Wiki (sllmwiki) is an agent skill, packaged as a Claude Code plugin, that turns a git repository into a wiki your coding agent researches and keeps current.
Make small AI models reliable at editing Markdown. Incise provides safe, semantic, byte-preserving edits for AI agents.
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.
Source-backed memory for long-running AI agents: maintained synthesis, freshness review, evidence links, and MCP/API access.
To associate your repository with the llmwiki topic, visit your repo's landing page and select "manage topics."