knowledge-synthesis

Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.

A work of meta-recursive experiential fiction exploring the boundaries between truth, perception, consciousness, and reality.

Research-driven course generator for Claude Code. Reads real articles. Writes real courses.

AI-agnostic skill for writing BrainLifts: structured context docs that turn research into DOK knowledge trees, insights, and spiky POVs.

From Discovery to Draft... An AI research agent that finds, reads, and writes papers. It searches academic databases and the web, parses PDFs, answers queries, and generates research drafts with a polished frontend.

🔬 Parallel AI research orchestration tool - Deploy multiple cursor-agent workers simultaneously to conduct comprehensive research with specialized focus areas and intelligent synthesis.

Transforms unstructured information into a structured Exploration Dashboard

Local-first AI pattern synthesis engine for identity, brand voice, design systems, naming research, and lens-specific outputs.

AWARE is a decision support tool for Avoiding WAste in health REsearch. It allows users to upload studies and assess their value for decision-making. In development.

The convergent synthesis layer of the meta-bridge stack. Triangulates semantic coherence, adversarial critique, and cross-tradition breadth into a small, cross-validated canon — convergence as evidence, made computable.

万物生 · 跨学科创造力引擎 — 一生二，二生三，三生万物。我不蒸馏，我创造。

Judgment infrastructure for human-led AI: portable Claude and Codex skills.

Knowledge synthesis engine for the Jeeves platform. Discovers .meta/ directories, gathers context from files and vector search, and produces structured synthesis artifacts via a three-step LLM pipeline (architect, builder, critic).

Turn messy context into a brief you can think with for Claude and Codex.

A Claude Code skill that researches any topic using parallel web search agents and produces a sourced playbook

🧠 Orchestrate parallel AI research with Cursor CLI Heavy to synthesize diverse insights into comprehensive reports on any topic.

Build and run autonomous AI agents locally for experimentation and personal automation with secure, multi-channel support and layered cognitive memory.

Prompt-engineering knowledge synthesis engine on a zero-cost RAG stack

Explicit-context synthesis for Obsidian: select exactly what the model sees, preserve source snapshots, and synthesize with OpenAI.

Give it any topic — the agent searches the web, reads full articles, detects contradictions between sources, and synthesizes a cited research report. Powered by Claude Opus, FAISS vector search, and DuckDuckGo.