AgentStack (agentstack.tech)
Backend for AI agents: one batched tool over ~668 actions (hosting, storage, auth, payments).
التثبيت
أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: .cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).
claude mcp add --transport http agentstack-agentstack-tech 'https://agentstack.tech/mcp'
{
"mcpServers": {
"agentstack-agentstack-tech": {
"type": "http",
"url": "https://agentstack.tech/mcp"
}
}
}
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
AgentStack
After one bind, the agent does not shop the catalog. Work Graph hands it the next step. Live edits stay on the safe circle: write a copy, pass the checks, then publish.
One MCP tool, agentstack.execute. The server holds the plan. Each turn is one action. Idle is a valid answer. Blocked names the unblock.
Story: agentstack.tech/work-graph · Contract: docs/plugins/WORK_GRAPH.md · Safe circle: agentstack.tech/mcp-docs#safe-cycle
The loop
session → context.project_id → agents.work_next → packet.next_action → claim / execute → work_next
Recipe mcp_work_loop_v1. Prompt agentstack_closed_loop_autonomy.
flowchart LR
S[Session] --> B[Bind project]
B --> W[work_next]
W --> N[next_action]
N --> X[Claim and execute]
X --> W
When that step changes live data, the same project runs the safe circle:
connect → sandbox → review → promote
The agent writes a generation. Customers stay on the previous copy until the checks pass. The project’s own rule publishes it: at once, or in stages.
| Who | Without the loop | With Work Graph |
|---|---|---|
| Founder with open loops | Every new chat re-reads the tool menu | The outcome is written once. The next chat takes the head of the queue |
| A person with more tasks than hours | The agent invents a tool and spends the window choosing | The list says ready, blocked, or idle |
| A business that needs the work finished | Thrash between catalog, guess, and retry | Claim, execute, verify, on the same project as the site and the payments |
| Someone wiring an agent | Paste the catalog into the prompt | agents.work_next, then packet.next_action |
Measured on 2026-10-07
Local registry build. Not a production traffic sample. Not a provider tokenizer. Bytes ÷ 4 is an English size estimate.
| Payload | UTF-8 bytes | Rough tokens |
|---|---|---|
Example next_action plus two alternatives | 250 | ~63 |
discovery.search, first 20 compact rows | 8,889 | ~2,222 |
| Handshake contract JSON, once | 11,297 | ~2,824 |
| Compact search, 50 rows (HTTP max) | 20,852 | ~5,213 |
| Full registry catalog JSON (795 actions in that build) | 1,680,071 | ~420,018 |
The full catalog is 6,720× that example packet. A 20-row search page is 35.6× it. The public catalog you should quote is 714 actions — live GET /mcp/actions/summary. Do not add the byte ratio and the operator targets into one savings claim.
| Signal | Target |
|---|---|
Autonomous loops that follow packet.next_action | ≥ 90% |
| Catalog shopping while a packet is already present | ≤ 5% |
Those are steady-production goals, not a live counter. Method and scenarios: docs/plugins/WORK_GRAPH.md.
Docs
This repository is the public documentation (English, user- and integrator-facing): web product, MCP, plugins, REST, RAG, sandboxes, and examples.
If you use the website: docs/USER_FEATURES_GUIDE.md.
If you build a product: docs/BUILD_YOUR_PRODUCT.md — @agentstack/sdk, optional genetic-ai-starter.
If you run agents on a large codebase: docs/genetic-system/.
If you integrate: docs/MCP_AND_ECOSYSTEM.md — start with the loop, then the catalog (714 actions · docs/MCP_SCALE.md).
REST / OpenAPI: docs/OPENAPI.md — Swagger · openapi.json.
npm SDK: @agentstack/sdk · docs/sdk/
Full index: docs/README.md · What's new: docs/WHATS_NEW.md
Open source kit
| Repo | Branch | Notes |
|---|---|---|
| genetic-ai-starter | main | Map-first install: npx @agentstack/genetic-ai-starter init. SoT lives in this repo under genetic-ai-starter/ when you have the monorepo. |
Plugins
| Plugin | Notes |
|---|---|
| cursor-plugin | v0.4.18, gen3 — rules, skills, commands, agents, hooks; Plugin MCP Connect and OAuth 2.1 device code |
| claude-plugin | Claude Desktop / API installers |
| gpt-plugin | ChatGPT / OpenAI ecosystem |
| vscode-plugin | VS Code marketplace distribution |
Product
- Site: agentstack.tech
- Work Graph: agentstack.tech/work-graph
- GitHub org: github.com/agentstacktech
الأسئلة الشائعة
ما هو AgentStack (agentstack.tech)؟
Backend for AI agents: one batched tool over ~668 actions (hosting, storage, auth, payments).
كيف أثبّت AgentStack (agentstack.tech)؟
يعمل كخادم بعيد. في Claude Code: claude mcp add --transport http agentstack-agentstack-tech 'https://agentstack.tech/mcp'. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.
هل يحتاج AgentStack (agentstack.tech) إلى مفتاح API؟
لا يذكر إدراجه في السجل أي مفتاح أو سر إلزامي. قد تتطلب بعض الميزات حسابًا لدى الخدمة التي يتصل بها.
هل AgentStack (agentstack.tech) مفتوح المصدر؟
شيفرته علنية على GitHub، لكن المستودع لا يعلن ترخيصًا قياسيًا.
من يصون AgentStack (agentstack.tech)؟
ينشره agentstacktech. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.