by joshuaswarren · AI 工具 · ★ 52
Remnic Open-source memory and context for user-aware agents. Remnic is for agents that need to understand the people they work with over time. Remnic helps AI agents understand the people they work with: their preferences, projects, constraints, decisions, patterns, and definition of good. The goal is simple: agents that remember responsibly, retrieve the right context, and ask fewer unnecessary questions. Remnic is not just a memory store. It is an exploration of the systems layer around user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, and evals.
| Stars | 52 |
| Forks | 11 |
| Language | TypeScript |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 35.25/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-08 |
| Created | 2026-02-05 |
| Platforms | node |
| Est. Tokens | ~724k |
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openclaw-engram is Local-first memory plugin for OpenClaw AI agents. LLM-powered extraction, plain markdown storage, hybrid search via QMD. Gives agents persistent long-term memory across conversations.. It is categorized as a AI 工具 with 52 GitHub stars.
openclaw-engram is primarily written in TypeScript. It covers topics such as ai-agent, ai-memory, conversational-ai.
You can find installation instructions and usage details in the openclaw-engram GitHub repository at github.com/joshuaswarren/openclaw-engram. The project has 52 stars and 11 forks, indicating an active community.
openclaw-engram is released under the MIT license, making it free to use and modify according to the license terms.