
Booboo
io.github.jessymariau由 GitHub 帳號 jessymariau 發布v0.5.2更新於 Oct 24, 2026
Query your AI system's wiring, knowledge, memory, agents and crons as one rooted graph over MCP.
概覽
Booboo 透過 MCP 暴露 AI 系統的結構、知識、記憶、代理與自動化快照圖,供助理查詢。
- 可以做什麼
- Booboo 透過 MCP stdio 提供圖快照,讓助理依標籤或 id 搜尋節點、取得單一節點、依深度查看鄰居、找出兩個節點間的最短路徑,並依層讀取節點與連結數量。搭配組織檔案時,它還能回傳某個代理的啟動切片(身分、權限鏈、繼承規則、儲存桶存取、技能、子節點)以及完整組織圖。寫入工具可讓助理把持久記憶與報告附加到日誌,並在重建後保留。
- 適用情境
- 當助理需要把整個 AI 系統當成一張圖來檢視或瀏覽,而不是只看單一切片時適用,例如了解元件如何連接、追蹤兩個節點之間的路徑,或從組織定義啟動代理。也適合希望代理記憶與報告能作為可查詢紀錄持久保存的情境。
- 執行需求
- 透過 npx 從 npm 套件 @booboo-brain/cli 以 stdio 在本機執行,需要 Node.js。它需要圖快照檔案,組織相關工具還需要組織檔案,並以絕對路徑傳入。未宣告帳號、API 金鑰、環境變數或請求標頭;README 提到可選的 BOOBOO_READONLY 變數。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Booboo,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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.
來源:README.md,提交 7580fcf
工具
0版本歷史
1- v0.5.2最新Sep 16, 2026
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