
Booboo
io.github.jessymariau由 GitHub 账号 jessymariau 发布v0.5.2更新于 Oct 24, 2026
Query your AI system's wiring, knowledge, memory, agents and crons as one rooted graph over MCP.
概览
Booboo 通过 MCP 暴露 AI 系统的结构、知识、记忆、代理与自动化快照图,供助手查询。
- 可以做什么
- Booboo 通过 MCP stdio 提供图快照,让助手按标签或 id 搜索节点、获取单个节点、按深度查看邻居、查找两个节点间的最短路径,并按层读取节点与链接数量。配合组织文件时,它还能返回某个代理的启动切片(身份、权限链、继承规则、存储桶访问、技能、子节点)以及完整组织图。写入工具可让助手追加持久记忆与报告到日志,并在重建后保留。
- 适用场景
- 当助手需要把整个 AI 系统当作一张图来查看或导航,而不是只看单个切片时适用,例如了解组件如何连接、追踪两个节点之间的路径,或从组织定义启动代理。也适合希望代理记忆与报告作为可查询记录持久保存的场景。
- 运行要求
- 通过 npx 从 npm 包 @booboo-brain/cli 以 stdio 在本地运行,需要 Node.js。它需要图快照文件,组织相关工具还需要组织文件,并以绝对路径传入。未声明账户、API 密钥、环境变量或请求头;README 提到可选的 BOOBOO_READONLY 变量。
安装
在 SourceWeft 中
- 打开 控制台中的 Booboo,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
🐾 Booboo — the unified operational brain
[npm] [spec] [license] [MCP] [node]
Turn any AI system's data into one living, rooted 3D brain — structure + knowledge + memory + agents + automations fused into a single graph. Query it by REST or MCP, view it in your browser or as a desktop wallpaper, and boot your agents from it in one call.
See it before you install it → booboo.fractionalhq.uk · a live brain in your browser, no signup, nothing to clone.
Named after a dachshund who never forgets where the treats are buried. Fitting, because Booboo is about exactly that: memory and recall — seeing the whole system at once, fetching what's buried, never losing the thread.
[A real 50,000-node synthetic brain rendered by booboo view — four stacked layer rings, spines converging on a glowing root, cockpit controls]
Unretouched: booboo view --demo --nodes 50000 — 50k nodes, 4 layers, live in a browser tab, zero console errors. Try it yourself in one command.
Most tools show you one slice: a knowledge graph, an agent flow chart, a memory store, a trace viewer. Booboo fuses all of them into one graph rooted at a single point, so you can see — and query — how the whole system actually hangs together.
Status: alpha — eight packages published:
@booboo-brain/spec(the contract),@booboo-brain/build(config-driven postgres/json adapters),@booboo-brain/serve(REST + MCP query layer),@booboo-brain/viewer(million-node 3D render),@booboo-brain/panel(the organigram),@booboo-brain/vault(wiki-linked markdown export),@booboo-brain/cli(the unifiedbooboocommand), andcreate-booboo(project scaffolder). Per-package semver — see eachpackage.json. MIT.
The one idea
Booboo is a tiny JSON spec at the center, with adapters that feed it and consumers that render/serve/query it:
Emit the JSON → get the viewer, the API, and the MCP server for free. Weird data → a ~50-line adapter, not a fork. See SPEC.md.
Quickstart
One command. No database, no config, no signup. A synthetic brain, running on your machine:
That's the headline flex: a million nodes at 60fps in a browser tab. Drop the count to --nodes 50000 on a modest laptop. See SCALE.md for how it holds up (one draw call over a single point cloud with a custom shader, plus tier-LOD on labels).
If it holds up on your machine, leave a star. There's no marketing behind this repo; stars are how the next builder finds it.
Then point it at your own stack:
Edit booboo.config.yaml to point at your own Postgres/Supabase (a commented example ships in the scaffold). Full reference: docs/CONFIG.md · stuck? docs/TROUBLESHOOTING.md.
Roadmap: a single all-in-one command bundling build + REST + MCP + the 3D viewer together, and an interactive scaffold wizard — tracked in LAUNCH_CHECKLIST.md.
What works today
booboo view serves the @booboo-brain/viewer 3D renderer as a standalone app — any snapshot (or ?n=1000000 synthetic) in your browser, no monorepo. The build engine was
proven on a real 4,469-node production brain assembled straight from Supabase by config alone —
privacy-walled, validated, served. See each package's README for the details.
Connect it to Claude / Cursor (MCP)
booboo mcp speaks MCP over stdio. Point any MCP client at it — no server to host, it runs on demand:
Your agent can now query the whole system — search, neighbors, path, stats — booboo_boot('<agent-id>') returns an agent's rules, memory reach, and reports so it boots from the org, and booboo_remember / booboo_report let it write back durable memories and reports that persist across rebuilds (the live memory system). Point --snapshot/--org at absolute paths if the client's working directory differs.
Tools
booboo_remember/booboo_reportare on by default — the live half of the memory system. Pass--no-write(orBOOBOO_READONLY=1) for a read-only server (public/locked-down deployments); it still reads the journal but refuses writes.
The Organigram — run your agents like a company
booboo panel opens your agent fleet as a real org chart — and the chart is not a diagram, it's the authority. Every agent is a card: its rules, skills, memory-bucket access, and latest reports. Drag an agent under a new parent, hit apply, and the org file changes — versioned in git, validated before every write (a cycle can never land). Agents that boot with booboo_boot obey the new shape on their next session. Reorganize your company at breakfast; the whole fleet knows by the first coffee.
Five tabs over one org file + one snapshot: organigram (drag-drop hierarchy) · buckets (who remembers what) · reports (what the fleet closed, newest first) · rules (who declares, who inherits) · graph (the 3D brain, embedded). Rules inherit top-down — declare once at a branch, everyone beneath is bound; every dossier shows the inherited stack in boot order.
Reports and buckets fill two ways: live, when an agent calls booboo_remember / booboo_report (durable journal writes, no rebuild), or in bulk from your own tables via config — see docs/CONFIG.md § Wiring fleet reports & memory.
The vault — your brain as plain markdown (Obsidian-ready)
booboo vault emits the same snapshot as a wiki-linked markdown vault: one page per
node with frontmatter and its links, index pages per layer and cluster, an agent dossier
per org member (chain of command, inherited rules, buckets, machines, contract). Open the
folder as an Obsidian vault and you have the "LLM second brain" pattern — except generated
from your real system instead of hand-fed notes. Plain files are the ultimate portability:
any human can read them, any agent from any provider can too. Emit it nightly and the vault
doubles as your insurance copy.
Author links yourself: put [[node-id]] (or [[exact label]]) refs inside a note's text and
set wikilinks: true in the config — the builder turns them into first-class authored edges
that outrank harvested relations, in the graph, the API, the 3D view and the vault. Every build
also prints an ingestion-quality line (authored · orphans · dump-suspects) so curation is
a number, not a vibe.
Your agent knows what to do — the contract ships with the scaffold
npx create-booboo scaffolds AGENTS.md (imported by CLAUDE.md) into the project: the
operating doctrine any AI agent working that folder reads automatically — boot from the org,
one atomic fact per note, author your [[links]], corrections replace, respect the walls,
watch the quality gate, close honestly. A fresh install leaves your agent already fluent in
the brain's conventions; edit the file as your own rules evolve — it is your system's
constitution, versioned next to the org.
Why it's different
The closest things on GitHub each do one layer — good tools, all of them, for their slice:
None fuse wiring + knowledge + episodic memory + agents + crons into one rooted, live, bootable brain that's simultaneously a view, a wallpaper, an API, and an MCP source. That operational fusion is the novel part.
Key in hand (optional — everything above stays free)
Every feature is MIT and always will be. If you'd rather not do the setup yourself, Fractional HQ maps your stack: custom adapters, hosted snapshot, refresh pipeline. Same repo, same config schema, never a fork, never a gate.
License
MIT — built to be forked, adapted, and shipped. By Fractional HQ.
来源:README.md,提交 7580fcf
工具
0版本历史
1- v0.5.2最新Sep 16, 2026
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