How do I use workspace-kb?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@workspace-kb search the knowledge base for payment failure issues" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

workspace-kb

by phuhao00

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workspace-kb

English · 中文文档

Local LanceDB knowledge base for agent-friendly markdown workspaces.

Index curated docs / skills / wiki — not your full source tree. Agents use MCP (kb_search → kb_read); scripts use the CLI. Search returns short snippets; reads open one heading.


Version	1.5
License	MIT
Repo	https://github.com/phuhao00/workspace-kb

Why

Cut token waste: agents get snippets + one section, not whole manuals.
Route multi-repo workspaces: find the right doc/repo first, then rg locally.
Project memory: share ops/triage facts across Cursor · Codex · CLI — tags, redaction, TTL, dashboard audit.
Dashboard tracks proxy savings (chars/4) and MCP health — not LLM billing.

Related MCP server: kb-mcp

Requirements

Node.js >= 20
One embedding backend:
- Ollama (default): ollama pull bge-m3
- OpenAI / compatible: "embedProvider": "openai" + OPENAI_API_KEY

ollama pull bge-m3
# low VRAM alternative:
# WORKSPACE_KB_MODEL=nomic-embed-text  # set matching embedDim in config

Quick start

npx workspace-kb init
npm install
npx workspace-kb ingest
# one command: sync MCP/port config + start dashboard (auto incremental ingest on)
npx workspace-kb up --port 8700
# open http://127.0.0.1:8700/
npx workspace-kb search "payment failure"
npx workspace-kb down

New/changed markdown under configured paths is auto-ingested while the dashboard runs (~2s debounce). Also:

npx workspace-kb watch          # auto-ingest only
npx workspace-kb up --no-watch  # start without watching

Config: "autoIngest": false to disable; "watchDebounceMs": 3000 to tune.

Existing project:

npm install github:phuhao00/workspace-kb#master   # pin #master — old builds lack up/start
npx workspace-kb up --port 8700
# first time / big doc changes: npx workspace-kb up --port 8700 --ingest

Install / upgrade

npm install github:phuhao00/workspace-kb#master

Auto-setup (install · update · ingest · `setup`)

If workspace-kb.config.json is found (cwd or parent, or INIT_CWD on postinstall), the package writes:

Path	Purpose
`.cursor/mcp.json`	MCP server (default HTTP → `http://127.0.0.1:<port>/mcp`)
`.cursor/rules/workspace-kb-routing.mdc`	`alwaysApply` — call `kb_search` first
`.cursor/skills/query-workspace-kb/SKILL.md`	Cursor skill for architecture/ops questions
`.continue/workspace-kb.mcp.json`	Continue.dev merge snippet
`AGENTS.md` `<!-- WORKSPACE-KB:… -->`	Agent routing (skip if `agentsMd: false` or custom `kb_search` docs)

Disable: WORKSPACE_KB_SKIP_SETUP=1 or "setup": { "enabled": false }.

After upgrade: restart start/serve, then click 重启 MCP on the dashboard (or reload Cursor MCP).

CLI reference

workspace-kb <command>

  up [--port <n|auto>] [--ingest|--full] [--no-watch]  # ★ sync+start+auto-ingest
  down [--port <n>]                        # ★ stop
  watch                                    # auto-ingest only (foreground)
  init [--force] [--name app] [--port <n>]
  setup [--port <n>]
  ingest [--full]
  start | stop | serve [--port <1-65535|auto>] [--no-watch]
  search | read | status | health | stats | projects | memory | feedback

Day-to-day: up / down. While the dashboard runs, markdown under configured paths is watched and incrementally ingested.

Dashboard

npx workspace-kb start    # detached (pid under ~/.workspace-kb/)
# or foreground:
npx workspace-kb serve --port 8787

Open http://127.0.0.1:8787/

Panel	What you can do
控制	Restart MCP · re-setup · incremental/full ingest · restart server
健康检查	config · workspaceRoot · index · embed · MCP · hit rate
项目记忆	Put / delete by key·id / prune expired; audit list
多项目	Local registered instances + ports
Metrics	calls · hit rate · est. returned/saved tokens
Recent events	👍/👎 feedback → path boost in search

HTTP MCP: http://127.0.0.1:<port>/mcp — Cursor/Continue need start/serve running.

Local HTTP APIs

Method	Path	Notes
GET	`/api/health`	Health checks + hit-rate summary
GET	`/api/control`	Status, projects, feedback, ingest job, memory preview
GET	`/api/memory`	List project memory facts
GET	`/api/usage?days=7`	Token proxy dashboard payload
GET	`/api/projects`	Multi-project registry
GET	`/api/feedback`	Feedback summary
POST	`/api/actions/restart-mcp`	Drop MCP sessions (clients reconnect)
POST	`/api/actions/setup`	Re-run auto-setup
POST	`/api/actions/ingest`	Body `{ "full": true }` optional
POST	`/api/actions/feedback`	`{ useful, query, path, heading }`
POST	`/api/actions/memory-put`	`{ text, key?, tags?, ttlDays?, source? }`
POST	`/api/actions/memory-delete`	`{ id? }` or `{ key? }`
POST	`/api/actions/memory-prune`	Remove expired rows from disk
POST	`/api/actions/restart-server`	Respawn dashboard
*	`/mcp`	Streamable HTTP MCP

Project memory (v1.5)

Shared project ops facts across Cursor + Codex + CLI (env topology, staging ports, redacted triage conclusions).
Not IDE personal Memories, and not a substitute for AGENTS.md or the doc index.

What belongs where

Store	Use for	Example
Cursor / Codex Memories	Personal preferences	“I prefer TypeScript”
`AGENTS.md` / `.cursor/rules`	Team hard rules (git-committed)	Branch model, no prod config edits
`kb_search` / `kb_read`	Docs · skills · wiki	One section of a payment runbook
`kb_memory_*`	Shared ops facts (redacted, TTL, dashboard audit)	“Staging hallapi HTTP :8080”

Good writes: staging hosts/ports, redacted incident conclusions, temporary feature flags.
Never write: passwords / API keys / tokens, ID numbers / PII, pure personal preferences.

CLI

# upsert by --key; default TTL 90 days; --ttl 0 = never expire
npx workspace-kb memory put "staging hallapi HTTP :8080" \
  --key staging-hallapi --tags ops,test-env --ttl 90

npx workspace-kb memory search "hallapi"
npx workspace-kb memory list
npx workspace-kb memory delete --key staging-hallapi
# or: npx workspace-kb memory delete --id <uuid>
npx workspace-kb memory prune          # drop expired rows

Subcommand	Notes
`put`	`--key` stable upsert key (else derived from text); `--tags a,b`; `--ttl days`
`search`	Score against key / text / tags
`list`	Recent non-expired (default limit 50)
`delete`	`--key` or `--id`
`prune`	Remove expired lines from `facts.jsonl`

MCP tools

Tool	Role
`kb_memory_put`	Write; required `text`; optional `key` / `tags` / `ttlDays` / `source`
`kb_memory_search`	Search; optional `query` / `tag` / `limit`
`kb_memory_list`	List; optional `limit` / `includeExpired`
`kb_memory_delete`	Delete by `id` or `key`

kb_search also returns relatedMemories (up to ~3 matching ops facts).
kb_status includes a short recent-memory peek.

Validation and TTL

Same checks for dashboard / CLI / MCP:

Non-empty text, max 2000 characters
Looks like a preference (“I prefer…”, “我喜欢…”) → rejected — use IDE Memories
Looks like secrets / Bearer / private key / ID card → rejected — redact first
TTL: default 90 days; 0 = never; max 3650 days
Same key upserts (replaces the previous row)

Data shape

Path: .workspace-kb/memory/facts.jsonl (one JSON object per line; git-ignore dataDir).

{
  "id": "uuid",
  "ts": "2026-09-02T09:00:00.000Z",
  "key": "staging-hallapi",
  "text": "staging hallapi HTTP :8080",
  "tags": ["ops", "test-env"],
  "source": "cli",
  "ttlDays": 90,
  "expiresAt": "2026-12-01T09:00:00.000Z"
}

expiresAt: null means never. Expired rows are hidden from search/list by default; use prune or the dashboard button to delete them from disk.

Agent workflow

Before re-investigating: kb_memory_search (or check relatedMemories on kb_search).
After a durable, redacted conclusion: kb_memory_put with tags (ops, service, env).
Drop stale facts on the 项目记忆 panel, or use a short TTL then prune.

Features (v1.4+)

Area	Behavior
Hybrid search	Vector + lexical (incl. CJK bigrams) + kind boost + feedback boost
Query rewrite	Builtin CN/EN synonyms; extend via `synonyms` in config
Incremental ingest	File fingerprints + vector cache; unchanged files skip embed; `--full` rebuilds
Project memory	`.workspace-kb/memory/`; MCP + CLI + dashboard; TTL / redact / tags
Daemon	`start` / `stop` / `projects`; registry at `~/.workspace-kb/registry.json`
Cloud embed	`embedProvider: "openai"` (+ `openaiBaseUrl` for compatible APIs)
Continue	Auto snippet + `examples/continue.mcp.json`

Configure

Put workspace-kb.config.json at the workspace root (or set WORKSPACE_KB_CONFIG):

{
  "workspaceRoot": ".",
  "dataDir": ".workspace-kb",
  "model": "bge-m3",
  "embedDim": 1024,
  "embedProvider": "ollama",
  "incremental": true,
  "rewriteQuery": true,
  "hybridVectorWeight": 0.65,
  "hybridLexicalWeight": 0.35,
  "synonyms": {
    "登不进": ["登录", "login", "token"],
    "充值未到账": ["支付", "pay", "订单", "callback"]
  },
  "paths": [".agents", "docs", "openwiki", "*.md", ".cursor/skills"],
  "childRepos": ["api", "web"],
  "childGlobs": ["README*.md", "docs/**/*.md"],
  "skipDirs": ["node_modules", "vendor", ".git", ".next", "Library", "logs", ".workspace-kb"],
  "setup": {
    "mcpServerId": "my-project-kb",
    "dashboardPort": 19090,
    "mcpMode": "http",
    "agentsMd": true,
    "cursorSkill": true,
    "continueConfig": true
  }
}

OpenAI / compatible embeddings

{
  "embedProvider": "openai",
  "model": "text-embedding-3-small",
  "embedDim": 1536,
  "openaiBaseUrl": "https://api.openai.com/v1"
}

set OPENAI_API_KEY=sk-...
npx workspace-kb ingest --full

Data layout (git-ignore `dataDir`)

.workspace-kb/
  lancedb/           # LanceDB table
  meta.json
  usage.jsonl        # search/read proxy metrics
  feedback.jsonl     # 👍/👎
  fingerprints.json  # incremental ingest
  cache/vectors.json # embedding cache
  memory/
    facts.jsonl      # project ops memory (shared across tools)

MCP modes

`setup.mcpMode`	`.cursor/mcp.json`	Notes
`http` (default)	`{ "url": "http://127.0.0.1:<dashboardPort>/mcp" }`	Needs `start`/`serve`; dashboard can 重启 MCP
`stdio`	`command` + `env.WORKSPACE_KB_CONFIG`	No dashboard required; pin config path (Cursor often ignores `cwd`)

Multiple projects on one machine

Each workspace has its own config + .workspace-kb/. Use any free TCP port (1–65535). 8787 / 8788 are examples only — not a hard limit.

Resolution order: --port → WORKSPACE_KB_PORT → setup.dashboardPort → local registry → default 8787.

# pin any port in config:
# "setup": { "dashboardPort": 19090 }

npx workspace-kb start                  # config port (also syncs MCP URL)
npx workspace-kb start --port 19091     # override + rewrite config + `.cursor/mcp.json`
npx workspace-kb start --port auto      # OS free port + sync bindings
npx workspace-kb stop                   # stops config/registry port
npx workspace-kb setup --port 19090     # rewrite MCP URL + persist config only
npx workspace-kb projects

start / serve sync after the listen port is chosen: setup.dashboardPort, .cursor/mcp.json, and .continue/workspace-kb.mcp.json.

Prefer project-local .cursor/mcp.json. Examples: examples/multi-a, examples/multi-b, examples/multi-project.mcp.json.

Indexing Chinese docs

Keep "*.md" in paths so root README.md / README.zh-CN.md are ingested.
Prefer clear Chinese ## headings under docs/ for kb_read.
Add spoken symptoms to synonyms (e.g. 登不进, 充值未到账). Full guide: README.zh-CN.md.

Cursor / agent tips

Keep npx workspace-kb start running (HTTP MCP).
Ask architecture/ops questions — rule + skill should trigger kb_search.
Before re-triage: kb_memory_search; after a durable conclusion: kb_memory_put (redact + tags + TTL).
Confirm usage: Get-Content .workspace-kb/usage.jsonl or dashboard Recent events.
If kb_status shows workspaceRoot under your home directory, MCP is mis-bound — use HTTP mode or pin WORKSPACE_KB_CONFIG.

Troubleshooting

Symptom	Fix
`EADDRINUSE :<port>`	Instance already on that port — use it, `stop --port <n>`, or change `setup.dashboardPort`
Dashboard old UI / no 项目记忆 / 404 `/api/health`	Kill old node on that port; reinstall `#master` (≥1.5) and `start` again
`No usage.jsonl`	Only search/read/MCP write usage — `ingest` alone does not
Empty search / low hit rate	`ingest`, check `health`, extend `synonyms`, verify MCP root
`memory put` rejected (preference / secret)	Preferences → IDE Memories; redact secrets then put
Memory file has lines but search is empty	Likely expired — check `expiredCount` on `memory list`, then `prune`
Ollama errors	`ollama serve` + `ollama pull <model>`
Agent never calls KB	Restart MCP; confirm rule/skill exist; ask explicitly “先 kb_search …”

Env

Variable	Meaning
`WORKSPACE_KB_CONFIG`	Absolute path to config JSON
`WORKSPACE_ROOT`	Override workspace root
`WORKSPACE_KB_MODEL` / `BUYU_KB_MODEL`	Embedding model id
`WORKSPACE_KB_DIM` / `BUYU_KB_DIM`	Expected dimension
`WORKSPACE_KB_EMBED_PROVIDER`	`ollama` \| `openai`
`OPENAI_API_KEY` / `OPENAI_BASE_URL`	Cloud embeddings
`OLLAMA_HOST`	Default `http://127.0.0.1:11434`
`WORKSPACE_KB_PORT`	Dashboard port (any `1–65535`, or `auto`; else `setup.dashboardPort`)
`WORKSPACE_KB_SKIP_SETUP`	`1` skips postinstall setup

License

MIT

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workspace-kb

Why

Requirements

Quick start

Install / upgrade

Auto-setup (install · update · ingest · setup)

CLI reference

Dashboard

Local HTTP APIs

Project memory (v1.5)

What belongs where

CLI

MCP tools

Validation and TTL

Data shape

Agent workflow

Features (v1.4+)

Configure

OpenAI / compatible embeddings

Data layout (git-ignore dataDir)

MCP modes

Multiple projects on one machine

Indexing Chinese docs

Cursor / agent tips

Troubleshooting

Env

License

Maintenance

Resources

Looking for Admin?

Related MCP Connectors

Related MCP Servers

MinerU Document Explorerofficial

kb-mcp

aik-mcp

rag

Latest Blog Posts

MCP directory API

Auto-setup (install · update · ingest · `setup`)

Data layout (git-ignore `dataDir`)