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免費、開源的 1:1 替代方案,取代 Grok Bot 與 Muse。從 iPhone、Mac 或 Linux 桌面將 Claude Code、Codex、Cursor 與 40+ 程式碼代理人作為持續機器人傳訊。群組聊天、主題串…
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尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
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一分鐘完成驗證Your docs, as a help center that answers with sources. Postgres full-text search, MCP server, runs locally with Flisk.
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取自儲存庫 README
正在載入完整 README。
檢視完整 README ↗Any GitHub repo's docs, as a help center and an MCP server. Replace github.com with helpdock.flisk.sh:
https://github.com/vercel/next.js → https://helpdock.flisk.sh/vercel/next.js
https://helpdock.flisk.sh/owner/repo/mcp gives Claude, ChatGPT, Cursor or Codex that repo's docs: search_docs and ask_help_center, read-only, no key.GITHUB_TOKEN (read-only, public repositories) raises GitHub's limit from 60 to 5000 calls an hour.helpdock.flisk.sh/hashicorp/web-unified-docs/tree/main/content/terraform/v1.17.x/docs is the Terraform docs, with the same MCP server at its /mcp.docs/*.txt) and any Sphinx .rst are converted to Markdown first: titles, code blocks, notes, signatures and cross-references. HashiCorp's MDX callouts and Docusaurus-style MDX work too.HELPDOCK_REPOS, / is a help center for your own Markdown (seed-docs/, POST /docs), on SQLite or your own Postgres. Built and run with Flisk.Needs Docker, Tilt and the Flisk CLI.
git clone https://github.com/flisk-sh/helpdock.git
cd helpdock
flisk project --yes
flisk up agents
flisk status # the agent URL, e.g. http://api.helpdock.localhost:8082/api/agent
Open the agent URL with a trailing slash in a browser. The first start loads the starter pages (seven pages of the Flisk docs, from services/agents/agent/seed-docs/) into the help_docs table.
Use your own docs: replace the files in seed-docs/ and run bun run seed:pack in services/agents/agent before the first start (the image ships only compiled code, so the pages are packed into src/seed-docs.generated.ts). Or add pages at any time:
curl -s -X POST "$AGENT_URL/docs" -H 'content-type: application/json' \
-d "$(jq -n --arg m "$(cat billing.md)" '{source:"billing.md", markdown:$m}')"
Helpdock runs online for free at helpdock.flisk.sh on one Render free web service (from render.yaml and the root Dockerfile), with no database account and no AI key: without DATABASE_URL it uses Bun's built-in SQLite. Bring your own Postgres (Neon or any other) to keep added pages and history. DEPLOY.md has the steps, the DNS record, the limits and what free costs you (the service sleeps after 15 idle minutes).
| Route | What it does |
|---|---|
GET / | The help center page |
POST /turn | {"input": "question"} with an x-session-id header → {reply, sources, prompt} (prompt is what Ask your AI hands over); the session is checkpointed in Postgres |
POST /mcp | Public read-only MCP (Streamable HTTP): search_docs, ask_help_center |
GET /status, /pages, /page?source= | The help center's state, its page list, one page's sections |
/owner/repo/… | With HELPDOCK_REPOS=1: all of the above for a public GitHub repository (/owner/repo/turn, /owner/repo/mcp, …) |
GET /search?q= | Ranked sections with snippets |
POST /docs | {"source", "markdown"} adds or replaces one page; needs authorization: Bearer $HELPDOCK_ADMIN_TOKEN when the token is set, and is off in production without it |
Settings: HELPDOCK_DOCS_DIR, HELPDOCK_REPOS, HELPDOCK_PREWARM, HELPDOCK_REPO_BUILDS_PER_HOUR, GITHUB_TOKEN (optional: raises GitHub's 60 API calls an hour), and for online use HELPDOCK_ADMIN_TOKEN, HELPDOCK_PROXY, HELPDOCK_TURNS_PER_HOUR, HELPDOCK_PUBLIC_URL (see the header of services/agents/agent/src/index.ts).
Helpdock started from the Flisk agent-stack template. Its notes follow.
Starter landscape for AI agents on Flisk: a Bun agent resource, an MCP tool server, Postgres, and NATS.
Repository-pinned CLI (optional): Run
bun installfrom the repository root to install the version pinned inpackage.json. Usebun run flisk:projectto initialize project config,bun run flisk:dry-runto preview startup, orbun run flisk:up -- <stack>to start a stack. The global npm and standalone binary installation paths remain available.
git clone https://github.com/flisk-sh/flisk-agent-stack.git
cd flisk-agent-stack
flisk project --yes
flisk up
Or from the CLI:
flisk project agent-stack
cd flisk-agent-stack
flisk up
| Stack | Resource | Type | Notes |
|---|---|---|---|
| agents | agent-migrator | migrator | Creates the flisk_agent_sessions table once, before the agent starts |
| agents | agent | agent | Custom runtime, durability: postgres: each turn is checkpointed in Postgres |
| agents | tools | mcp | MCP tool server (Streamable HTTP at /mcp), one echo tool to replace |
| agents | postgres | database | Checkpoint store (services/platform/database-management) |
| agents | nats | broker | Messaging (services/platform/messaging), for agents that queue work |
Once flisk up agents is running, find the agent's URL with flisk networks and send turns with the x-session-id header. Each session keeps its transcript in Postgres, so it survives a restart of the agent:
AGENT_URL=<the agent URL from flisk networks>
curl -s -X POST -H 'x-session-id: demo' -H 'content-type: application/json' -d '{"input":"hello"}' "$AGENT_URL/turn"
curl -s -H 'x-session-id: demo' "$AGENT_URL/session"
/ready answers 503 while the checkpoint store is unreachable. The replacement for the placeholder turn lives in runTurn in services/agents/agent/src/index.ts.
Scaffold more with:
flisk resource my-agent --type agent --stack agents --durability files
flisk resource my-tools --type mcp --stack agents
See flisk and the website llms.txt for the full contract.
The film on the landing page and above is made by video/: bun video/shots.ts takes screenshots of the live site, bun video/render.ts films them in headless Chrome (needs Chrome and ffmpeg). Scenes are in video/film.json.