12 open-source projects share topics or a category with TencentDB-Agent-Memory. 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.
Choose holaOS if…
you prefer a smaller, narrower project to a large one
you specifically need agent-harness or agent-os
Shares agent, ai-agent, llm, memory with TencentDB-Agent-Memory.
Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.
Choose neo if…
you would rather work in JavaScript than TypeScript
you need a detected license — this one reports MIT License
you prefer a smaller, narrower project to a large one
you specifically need agent-memory or ai
Shares ai-agent, llm, long-term-memory with TencentDB-Agent-Memory.
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.
Choose Memori if…
you would rather work in Python than TypeScript
you specifically need agent-memory or agenticai
Shares agent, llm, memory with TencentDB-Agent-Memory.