Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
Forge Orchestrator: Multi-AI task orchestration. File locking, knowledge capture, drift detection. Rust.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
ADE( Agentic Development Environment) The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.
Personal memory across agents
TUI for reviewing diffs, files, and documents with inline annotations
A semantic search engine for files and code.
Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and CLI. Local, fast, free.
Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls published pages back in before they go stale — writer ≠ reviewer, local-first, a structured alternative to RAG.
Agent Package Manager
A unified, high-performance i18next CLI.
Agent-ready writing studio for Chinese WeChat articles, English essays, research writing, human voice editing, source-bound data storytelling, and statistical graphics.
Build click-through, animated system architecture diagrams as a single HTML file. Drop it into a workshop, design review, or onboarding doc and let people watch the data flow instead of reading static boxes-and-arrows.
Chrome extension to extract styles from any website and generate DESIGN.md files and design skills for AI based on TypeUI
Durable, searchable memory of your past agent sessions.
:bookmark: Personal notes: today I learned
A linguistic linter for Traditional Chinese (zh-TW)
Feedback widget with screenshots, annotations, and AI triage
Turn dense long-form ideas into immersive Reading Editions.
C.O.N.T.EX.T is designed to compress complex, multi-domain conversations into machine-optimized "Carry-Packets." These packets achieve a crystallization point of 0.15 entity/token, ensuring that a receiving model can reconstruct the original context with near-perfect fidelity.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
Open library of legal AI skills (SKILL.md) for MCP-compatible agents — 39 jurisdictions, 200+ plugins, Apache-2.0.
Agent skill that removes signs of AI-generated writing from text
CC Workflow Studio