A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
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Updated
Jul 24, 2026 - Python
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture
Enforce organizational standards across every AI coding agent
A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like interface.
Palestra técnica sobre Spec-Driven Development (SDD) com GitHub Copilot
🌿 Prune your AI agent's context window. Reduce token usage by 70-95% with hierarchical memory. Replace flat MEMORY.md with a bonsai-shaped domain tree. Progressive disclosure, zero dependencies. Works with OpenClaw and any LLM agent framework.
Cross-agent skill quality gate for SKILL.md files. Validates frontmatter, scores description discoverability, checks file references, enforces three-tier token budgets, and flags compatibility issues across Claude Code, VS Code/Copilot, Codex, and Cursor.
Claude Code skill for optimizing oversized CLAUDE.md files using progressive disclosure
Persistent project-scoped knowledge base for Claude Code and Codex: quick and deep research depths, contrarian pass, source-independence rules measured on DeepResearch Bench II. Tested end to end on Haiku agents and a local 35B under noob-cli. Installs via npx skills add, /plugin install, codex marketplace, or git clone.
Progressive file disclosure for agentic AI - explore files hierarchically with plugin-based analyzers
Opt-in Codex Skill for practical coding and externally anchored delivery with elastic agent teams, task DAGs, isolated candidates, and one canonical writer.
Progressive disclosure retrieval for long-horizon AI agents over personal knowledge bases. Three-tier model: hot cache → FTS5 index → full read. Local-first, zero dependencies.
Desktop app (Tauri 2 + SolidJS) to compose Claude Code workspaces with curated skill packages, MCP servers, hooks, commands & CORE-documenten — OpenAEC Foundation
Progressive disclosure OS with 10 specialized routes, critical thinking, and verification gates. Supports Claude Code, Codex, Qoder.
Ecosystem-aware CLI for validating and upgrading Agent Skills: enforce spec compliance, detect vendor extensions without breaking, convert large skills into progressive disclosure.
Progressive Spec-Driven Development (SDD) toolkit for AI coding agents — Claude Code, Copilot, Codex. Slash-command Skills + structured AI Knowledge + MCP server; Progressive Disclosure cuts 70–80% tokens. Brownfield & greenfield.
MCP server giving LLM agents a seven-verb API over papers, documents, code, state, patents, and cached web/Wolfram/YouTube tool calls
An AI skill for estimating AI-assisted and hybrid human+agent development work. Research-backed formulas. PERT statistics. Calibration feedback loops. Zero dependencies.
Generate progressive-disclosure interfaces from complex APIs via My-Lang
Health check for Claude Code skills. skill-checkup diagnoses why a SKILL.md won't reliably trigger, walks a dry-run of its workflow, and restructures the package. 4 deterministic scripts, no runtime deps.
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