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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. LLM Wiki
    LLM Wiki icon

    LLM Wiki

    Knowledge Management
    Featured

    LLM-compiled knowledge bases for any AI agent, with parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, and artifact generation.

    Visit Website

    At a Glance

    Pricing
    Open Source

    Fully free and open-source under the MIT License. Install as a Claude Code plugin, Codex marketplace plugin, OpenCode instruction file, or portable AGENTS.md.

    Engagement

    Available On

    macOS
    Linux
    API
    Browser
    VS Code

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Knowledge ManagementAgent FrameworksResearch Assistants

    Alternatives

    OpenKnowledgeobsidian-second-brainnohmitaina
    Developer
    nvkEst. 2026

    Listed Aug 2026

    About LLM Wiki

    LLM Wiki is an MIT-licensed, open-source tool that turns any LLM agent into a parallel research engine and an append-only, Markdown-native knowledge base. Created by developer nvk and inspired by Andrej Karpathy's LLM wiki concept, it ships as a Claude Code native plugin, an OpenAI Codex marketplace plugin, an OpenCode instruction file, and a portable AGENTS.md for any other LLM agent. All data is stored as plain Markdown files you own, with zero runtime dependencies.

    What It Is

    LLM Wiki is a command-driven knowledge management system that orchestrates multiple LLM agents to research topics in parallel, ingest and synthesize sources, and compile structured wiki articles. It sits between a research assistant and a personal knowledge base: agents search the web from different angles (academic, technical, applied, news, contrarian), ingest the best sources into an immutable raw/ layer, and compile synthesized articles with cross-references and confidence scores into a wiki/ layer. The result is a portable, Obsidian-compatible Markdown vault you can query, audit, and build deliverables from.

    Research and Investigation Modes

    LLM Wiki offers three research intensities and a dedicated thesis mode:

    • Standard (5 agents): academic, technical, applied, news, and contrarian angles
    • Deep (--deep, 8 agents): adds historical, adjacent-field, and data/stats agents
    • Retardmax (--retardmax, 10 agents): skip planning, cast the widest net, ingest aggressively, compile fast
    • Thesis mode (--mode thesis): starts from a specific claim, splits agents across supporting, opposing, mechanistic, meta/review, and adjacent angles, and delivers a verdict (supported / partially supported / contradicted / insufficient evidence / mixed) rather than a summary. With --min-time, round two automatically focuses on the weaker side of the evidence to counter confirmation bias.

    The --plan flag decomposes a broad topic into 3–5 parallel research paths, confirms with the user, then dispatches all paths simultaneously. The --min-time flag keeps research running in rounds—each round drilling into gaps the previous one found—for durations like 1h or 2h.

    Architecture and Storage Model

    The hub (~/wiki/) is a lightweight registry with no content. All content lives in isolated topic sub-wikis under topics/. Each topic wiki contains:

    • raw/ — immutable ingested sources (URLs, files, PDFs, Git repos, MediaWiki dumps, Wayback CDX snapshots)
    • wiki/concepts/, wiki/topics/, wiki/references/ — compiled, synthesized articles
    • inventory/ — durable operational state: items, source candidates, corpora, open questions, next actions
    • inventory/ideas/ — rough proposals being researched and shaped before promotion to Projects
    • datasets/ — manifests for large or external data that stays outside the wiki
    • output/ — generated artifacts (reports, slides, plans, glossaries)
    • schema.md — human-owned topic guide for local vocabulary and conventions
    • .obsidian/ — Obsidian vault config for graph view and backlinks

    Every directory has an _index.md; agents read indexes first and never scan blindly. Cross-references use dual-link format ([[wikilink]] plus standard Markdown) so the wiki works in Obsidian, Claude Code, GitHub, and plain text editors alike.

    Session Memory and Feedback Curation

    LLM Wiki includes a default-on session memory layer under HUB/.sessions/. Trusted hooks from Claude Code, Codex, OpenCode, and Gemini-style adapters write redacted checkpoints, compact Markdown digests, per-session state JSON, and feedback candidates—without storing full transcripts. The /wiki:session rehydrate command returns a compact context block so a future turn can pick up where the previous one left off. Feedback candidates (corrections, preferences, approvals, plan acceptance) accumulate under .sessions/feedback/ and are promoted into topic raw/notes/ only by explicit user action. Users can opt out entirely with /wiki:session disable.

    Update: v0.24.4 — Adapter CLI Compatibility

    The latest release is v0.24.4, published 2026-08-27. It adds llm-wiki adapter show <id> --json as an explicit alias for the command's existing JSON output, removing a fresh-session failure mode when an agent follows the adapter workflow using the common --json form. The deterministic CLI is synchronized across the Claude, Codex, and OpenCode packages. Notable recent milestones in the changelog include:

    • v0.24.0 — Project Knowledge Checkpoints Export: comprehensive cross-topic handoffs with dry-run-first create, deterministic privacy sealing, and read-only verification
    • v0.23.0 — Personal specialist framework: user-owned, instruction-only SKILL.md review methods under HUB/.skills/ with explicit per-topic allowlists
    • v0.22.0 — Declarative private-adapter routing with provider-neutral intent and exact-URL routes
    • v0.18.0 — Hub-wide portfolio view across active topic wikis

    The repository reports 1,127 stars and 108 forks as of the last crawl, per GitHub metadata.

    LLM Wiki - 1

    Community Discussions

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    Share your experience with LLM Wiki, ask questions, or help others learn from your insights.

    Pricing

    OPEN SOURCE

    Open Source

    Fully free and open-source under the MIT License. Install as a Claude Code plugin, Codex marketplace plugin, OpenCode instruction file, or portable AGENTS.md.

    • Parallel multi-agent research
    • Thesis-driven investigation
    • Source ingestion and wiki compilation
    • Session memory and feedback curation
    • Project Knowledge Checkpoints Export

    Capabilities

    Key Features

    • Parallel multi-agent research (5, 8, or 10 agents)
    • Thesis-driven investigation with verdict output
    • Source ingestion (URLs, files, PDFs, Git repos, MediaWiki dumps, Wayback CDX snapshots)
    • Wiki compilation with cross-references and confidence scores
    • Token-efficient read-only query mode
    • Session memory with redacted checkpoints and rehydration
    • Feedback curation and explicit promotion
    • Project Knowledge Checkpoints Export with privacy sealing
    • Personal specialist framework (instruction-only SKILL.md methods)
    • Private adapter protocol with scoped resources and plan-bound approval
    • Collector catalogs for media, memes, tools, and entities
    • Inventory tracking for items, candidates, corpora, and next actions
    • Dataset manifests for large external data
    • Idea incubation and explicit Project promotion
    • Hub-wide portfolio view
    • Archive and restore topic wikis
    • Artifact generation (reports, slides, study guides, plans, glossaries)
    • Obsidian-compatible dual-link format
    • Zero runtime dependencies
    • Audit and truth-seeking across wiki, outputs, and provenance
    • Librarian staleness and quality scoring
    • Lint and auto-repair structural issues
    • Chrome extension for bounded tab control via MCP tools

    Integrations

    Claude Code
    OpenAI Codex
    OpenCode
    Pi / DS4 local models
    Obsidian
    Chrome (via browser extension)
    Grok MCP (for tweet ingestion)
    tobi/qmd (local search engine)
    iCloud Drive
    GitHub
    MediaWiki
    Wayback Machine CDX API
    API Available
    View Docs

    Ratings & Reviews

    No ratings yet

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    Developer

    nvk

    nvk is an independent developer who builds LLM-native tooling for AI agents. The flagship project, LLM Wiki, provides parallel multi-agent research, knowledge compilation, and artifact generation as a portable Markdown-native system. The project is MIT-licensed, open-source, and ships plugins for Claude Code, OpenAI Codex, OpenCode, and any portable LLM agent. nvk also maintains the sister site learntoprompt.org for practical AI coding agent guides.

    Founded 2026
    Read more about nvk
    WebsiteGitHubX / Twitter
    1 tool in directory

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