12 open-source projects share topics or a category with garden-skills. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
Choose MemOS if…
you would rather work in TypeScript than JavaScript
Apache License 2.0 suits your use better than MIT License
you specifically need agentic-ai or ai
Shares agent, claude, rag, skills with garden-skills.
Pushed 2 days ago.Apache License 2.0TypeScript12.4k
The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex & more. Build Clawdbot 🦞· APIs for Lovable · Bots for Slack & Lark/Feishu · Skills are infrastructure, not prompts.
Choose refly if…
you would rather work in TypeScript than JavaScript
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
Choose FastGPT if…
you would rather work in TypeScript than JavaScript
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Choose graphify if…
you would rather work in Python than JavaScript
Apache License 2.0 suits your use better than MIT License
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Choose claude-mem if…
you would rather work in TypeScript than JavaScript
Apache License 2.0 suits your use better than MIT License
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Choose headroom if…
you would rather work in Python than JavaScript
Apache License 2.0 suits your use better than MIT License