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khwanlabs/khwan-mcp

khwanlabs/khwan-mcp

Memory for coding agents built aro
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add khwan-mcp -- npx -y khwan-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · khwanlabs/khwan-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 khwanlabs/khwan-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

khwan-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Durable memory that survives the session.** An MCP
server that plugs Khwan — a pure AI-memory layer — into
Claude Code, Claude Desktop, or any MCP client.
Khwan never runs *your* model. **The client is the model.** Its job is to persist
and distil what matters into a brain you can **recall in a later session or seed a
subagent with** — a compact, bounded set of facts instead of a replayed
transcript. One account can hold many isolated **cores** (brains), and — on paid
plans — an isolated sub-brain per end-user.
Nothing on the read or write path costs you an inference call: khwan_recall and
khwan_remember make none. Khwan does run one model of its own, on a schedule —
a nightly pass that distils stored turns into standing lessons. A real production
run was 8 brains and 245 stored turns distilled into 11 lessons, for **$0.0094**.
That pass is Khwan's cost, not yours, and it is the whole difference from memory
layers that compress, graph, or consolidate on every turn.
How it saves tokens (and where it doesn't)
Be honest about the mechanism — an MCP **adds** to a host's context, it cannot
**replace** the transcript the host already sends. So:
- **Within one hot session, it does not save tokens.** Claude Code caches its
growing history (cache reads ≈ 0.1×), so re-injecting memory every turn only
adds. Don't do that here.
- **Across sessions and subagents, it does.** A cache dies in minutes; a session
ends. Khwan persists distilled facts so the *next* run recalls them cheaply —
no cold-replay of an old transcript, and facts that already scrolled out of
context are retrievable again.
The token-smart pattern: **seed once, remember durable facts** (below), rather
than running the full loop on every turn of a caching host. The full
prepare → record loop still shines in a **custom agent on a non-caching host**,
where replacing history with distilled memory bounds per-turn cost directly.
Install
Connect to Claude Code
--scope project writes .mcp.json into the repo, so the setting travels with
the project. Note what is **not** in that command: the key.
Keeping the key out of the repo
claude mcp add -e KHWAN_API_KEY=… writes the literal value into .mcp.json —
a file whose whole point is being committed. Two ways to avoid that, and the
second is the one that works everywhere:
**Shell environment.** Leave KHWAN_API_KEY out of the config entirely and
export it in the shell that launches claude. The server inherits it.
**A launcher (works in the desktop app too).** A desktop app is started from a
dock or menu, not a login shell, so it inherits none of your shell exports and
the approach above silently yields no key. Read it from a file instead:
md
- At the start of a task, call khwan_recall to seed relevant memory.
- When a durable decision/preference/fact emerges, call khwan_remember.
来源
awesome · https://github.com/khwanlabs/khwan-mcp
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