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AgentStack (agentstack.tech)

AgentStack (agentstack.tech)

Remote
agentstack.techAI & Agents2Updated 3w ago

About AgentStack (agentstack.tech)

AgentStack is a backend for agents that coordinates work through a queued Work Graph rather than requiring agents to browse a large action catalog. Its MCP interface batches access behind one tool and guides each turn through a next action and a verify-before-publish cycle.

Key features

  1. 01Single batched MCP tool: agentstack.execute
  2. 02Work Graph provides the next action
  3. 03Claim and execute queued work
  4. 04Sandbox, review, and promote changes
  5. 05Publish after project-defined checks

Use cases

  1. 01Coordinate agents across queued tasks
  2. 02Reduce catalog browsing during an agent loop
  3. 03Make live data changes through review and promotion

MCP support

The server exposes one batched tool, `agentstack.execute`. The Work Graph supplies the next action, while agents claim and execute work through the MCP loop.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://agentstack.tech/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

1
ParameterTypeRequiredDescription
stepsarrayYesSteps; one heavy LLM per sync execute.
contextobjectNosession.v1; project_id required.
context.project_idintegerNoTenant project id.
optionsobjectNobatch.v1 controls.
options.goalstringNoGoal text for playbook.
options.asyncbooleanNoQueue; poll discovery.job_status.
options.envelopeenumNocompact (default) | full — ADR MCP_EXECUTE_ENVELOPE_COMPACT_V2compact | full
options.recipe_idstringNoMCP recipe id.
options.stopOnErrorbooleanNoStop on first failure.
options.continueOnErrorbooleanNoContinue after failure.
options.idempotency_keystringNoRetry receipt key.

Details

From the project README

AgentStack

platform MCP actions Work Graph

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.

WhoWithout the loopWith Work Graph
Founder with open loopsEvery new chat re-reads the tool menuThe outcome is written once. The next chat takes the head of the queue
A person with more tasks than hoursThe agent invents a tool and spends the window choosingThe list says ready, blocked, or idle
A business that needs the work finishedThrash between catalog, guess, and retryClaim, execute, verify, on the same project as the site and the payments
Someone wiring an agentPaste the catalog into the promptagents.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.

PayloadUTF-8 bytesRough tokens
Example next_action plus two alternatives250~63
discovery.search, first 20 compact rows8,889~2,222
Handshake contract JSON, once11,297~2,824
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.

SignalTarget
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

RepoBranchNotes
genetic-ai-startermainMap-first install: npx @agentstack/genetic-ai-starter init. SoT lives in this repo under genetic-ai-starter/ when you have the monorepo.

Plugins

PluginNotes
cursor-pluginv0.4.18, gen3 — rules, skills, commands, agents, hooks; Plugin MCP Connect and OAuth 2.1 device code
claude-pluginClaude Desktop / API installers
gpt-pluginChatGPT / OpenAI ecosystem
vscode-pluginVS Code marketplace distribution

Product

Comments

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