LLM Wiki
Compiles research from multiple sources into structured wikis with parallel agents, thesis-driven investigation, source ingestion, and wiki compilation.
This product is a knowledge management tool that compiles research from multiple sources into structured wikis, solving the problem of scattered information and unstructured research. It is designed for operations and executive teams in B2B settings, particularly those using AI agents. It is delivered as a plugin for Claude Code, OpenAI Codex, OpenCode, or as a portable AGENTS.md file, and is Obsidian-compatible.
Key features
- Parallel multi-agent research
- Thesis-driven investigation
- Source ingestion
- Wiki compilation
- Concept to Project incubation
- Human-owned topic guides
- Session memory
- Feedback curation
- Topic archiving
- Inventory tracking
- Dataset manifests
- Truth-seeking audits
- Token-efficient read-only querying
- Artifact generation
- No social media activity within the last 30 days
GTM channels
- No GTM activity detected
ICP
- Operations teams
- Executives founders