12 open-source projects share topics or a category with WeClone. 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.
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.
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 Python
Apache License 2.0 suits your use better than GNU Affero General Public License v3.0
you want something your agent can install directly rather than a library to wire up yourself
you specifically need agentic-ai or ai
Shares agent, llm, mcp, memory with WeClone.
Pushed 2 days ago.Apache License 2.0TypeScript12.4k
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…
Apache License 2.0 suits your use better than GNU Affero General Public License v3.0
you want something your agent can install directly rather than a library to wire up yourself
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
Choose nexent if…
MIT License suits your use better than GNU Affero General Public License v3.0
you prefer a smaller, narrower project to a large one
you specifically need agentic-ai or agentic-framework