atomicmemory
Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.
HYSEN LABS DIRECTORY
Capability tag · curated repositories and deep analysis.
Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.
A cross-platform terminal workspace for remote development and AI agent workflows, powered by libghostty-vt
pool is Poolside’s coding agent that runs in your terminal or integrates with any ACP-compatible editor
An evidence-led, eight-locale LLM playbook: a transferable core, the Codex flagship track, and adapters for ChatGPT, Claude Code, Gemini, DeepSeek, and Grok.
Local editor for importing, managing, running, and injecting APM-backed assistant packages.
Persistent, searchable engineering memory for AI coding agents. Saves ~50% tokens and ~30% time while planning
A runtime for agents and services
A visual decryption framework for reverse engineering and penetration testing of app and web encryption.
DeepAgent Code: AI coding agent with persistent memory and control plane
Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.
File-backed workflow harness for reliable Claude Code and Codex sessions.
a fast, rootless sandbox and virtual resource runtime. Run any workload in a real container, including an agent's tool-call or AI-generated code.
Lets AI generate scientific figures from your data: 108 recipes, vivid and understated styles, multiple color palettes, delivering both images and source code. Personal, non-commercial use only.
A Claude Code skill that grounds AI-generated UI in real reference images and a persistent per-developer taste profile, instead of generic AI-slop defaults.
We propose Reinforcement Learning from Community Feedback (RLCF), a training paradigm that uses large-scale community signals as supervision, and formulate scientific taste learning as a preference modeling and alignment problem.
A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.
Give Claude Code's ultracode mode to ANY model you already pay for. A tiny local proxy + one config.json. Point your AI at AGENTS.md and it sets itself up.
VS Code-style sidebar for the herdr: file explorer + git source control in one pane — syntax-highlighted previews, VS Code-style diffs, GitLens-style drawers, AI commit messages
Shinkai is a two click install App that allows you to create Local AI agents in 5 minutes or less using a simple UI. Supports: MCPs, Remote and Local AI, Crypto and Payments.
Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...), Tool Calling, MCP, RAG, Agent Runtime, and a built-in Coding Agent CLI/TUI/ACP.