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~/agentstaffer / agents / github-simular-ai-agent-s
S

simular-ai/Agent-S

Agent S: an open agentic framework that uses computers like a human

githubworkflowCoding & DevelopmentCLIOpenAI Codex CLIDify / n8n / Langflow

Fit & Capabilities

What this candidate is suited for, how the fit score breaks down, and which protocols or skills are visible.

63 / 100 fit
Fit score63 / 100Capability fit: 100/100
Best for4 usesOperators building repeatable agent workflows
Protocols1 visibleCLI
Capabilities7 listedWorkflow automation / RAG
Fit detailOpen the full fit breakdown.
Capability fit100 / 100

Coding & Development

Trust78 / 100

High traction

Integration readiness25 / 100

CLI likely

Maintenance signal73 / 100

11,676 stars

Community proof50 / 100

Community review pending

Trial readiness29 / 100

Run a small code review trial

Best for4 uses
  • Operators building repeatable agent workflows
  • Engineering teams testing coding agents or skill packs
  • Builders comparing multi-agent orchestration patterns
  • Analysts reviewing research and knowledge-work agents
Protocols1
CLI
Capabilities7
Workflow automationRAGComputer useMulti-agent orchestrationCoding assistanceDesign assistance

Evidence

Source traction, reputation reviews, verified resources, and missing signals grouped once for the profile decision.

4 quality signals
Source traction12K starsStars
Reputation & reviewsPending0 community / 0 trials
Verified resources2 / 3 presentMCP config not inferred
Evidence gaps4 openOpen evidence detail before promotion
Evidence detailOpen the full evidence ledger.

Source traction

Stars
11,676
Forks
1,379
Last activity
2026-05-13

Reputation & reviews

External reputation
Pending; source traction tracked separately
Community reviews
0
Trial runs
0
Traction evidence
See source traction card

Verified resources

Source URL
Present
Install manifest
Present
MCP config
Not inferred

Evidence gaps

External reputation
Pending; source traction tracked separately
Sandbox trial
Not recorded
Community review
Not recorded
Permissions
Review required

Risk & Safety

Risk signals, permission requirements, and required checks before install, trial, hire, or production use.

Manual review
Risk signals
No community evaluationmedium

AgentStaffer users have not submitted a review yet.

Permission-sensitive workflowmedium

The listing may touch accounts, browsers, payment, credentials, or other sensitive surfaces.

Third-party reputation pendingmedium

Third-party review or discussion signal is pending. Source stars, downloads, likes, and activity are tracked separately as source traction.

Marketplace review notereview

matches:agent,agents,agentic,workflow,automation,multi-agent

Marketplace review notereview

protocol:cli

Safety requirements
Sandbox workspacerequired

Run the first trial in a throwaway directory or isolated environment.

Local terminalrequired

A CLI path is visible, but the exact command must be verified from source.

Browser or desktop permissionsconditional

Grant only the minimum UI or device access needed for the first trial.

Quality evidence
Protocol metadatapositive

CLI support detected.

Source tractionpositive

11,676 GitHub stars.

License visiblepositive

License metadata: Apache-2.0.

Recent source activitypositive

Updated about 156 days ago.

Required checks
Verify install sourcerequired

Open install.json and source docs before running any command.

Review permissionsrequired

Use minimum viable access and temporary credentials for the first run.

Collect user evaluationreview

No AgentStaffer community review is attached yet.

Run sandbox trialrequired

Create a narrow, observable trial before install, hire, or promotion.

Security verdict

Evidence is thin. Read source, license, and requirements before trial.

Open trust review

Safe action rule

This is an evidence-based AgentStaffer review summary, not a malware guarantee. Always inspect source, install manifest, permissions, and trial results before local execution.

Installation

One install command/config, with client-specific notes kept short.

CLI likely
Command
Review this AgentStaffer install manifest before installing: https://agentstaffer.com/agents/github-simular-ai-agent-s/install.json
Setup guide

Client notes
Claude Desktop

Download the install file and open the source documentation.

Cursor / VS Code

Open the source documentation and find the editor integration steps.

Dify / n8n / Langflow

Download the AgentStaffer install file and attach it to your workflow notes.

Local / Terminal

Use the source repository instructions.

Safety
  • Run in a sandbox or throwaway workspace.
  • Use non-production data and temporary credentials.
  • Capture output, logs, install friction, and any permission requests.

Trial Plan

Status: Not started. Record trial evidence before production promotion.

not started
Run a small code review trial

Give the agent one low-risk issue or one small pull request and ask for defects, tests, and a patch plan.

Expected output

A concise review with reproducible findings, changed-file scope, and test suggestions.

Success criteria
  • Finds concrete issues
  • Avoids broad rewrites
  • Explains tradeoffs
  • Can be evaluated without secrets
Required review
  • Sandbox workspace: Run the first trial in a throwaway directory or isolated environment.
  • Local terminal: A CLI path is visible, but the exact command must be verified from source.
  • Browser or desktop permissions: Grant only the minimum UI or device access needed for the first trial.
Promotion rule

Blocked until trial evidence exists

Open trial workspaceTrial JSON

Lifecycle & Alternatives

Human-readable review history and nearby alternatives stay compact here; full events and graph live in the complete review materials.

0 records
Reviews & HistoryReview history
Indexed for hiring review

Candidate entered AgentStaffer as a public marketplace listing.

2026-07-14
Current lifecycle stage

Run Trial: Start with a sandbox trial before shortlisting or hiring.

2026-07-14
Latest sandbox trial

No sandbox trial has been recorded, so hire/install decisions should stay conservative.

Pending
Latest community review

No community review has been attached yet.

Pending
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77/100 fit
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trycua/cua

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

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@apijack/core

Jack into any OpenAPI spec and rip a full-featured CLI with AI-agentic workflow automation

66/100 fit
Decision files

Review materials

Scan the decision path first; expand only when the recommendation needs source files, history, alternatives, or dossier detail.

Open profile JSON
Decision path
Profile JSONStartEvidence JSONSignalsTrust JSONRiskMaterialsAll files
01Decision basis

Start with the profile record, then verify score, evidence, and trust before shortlisting.

Profile, score, evidence, trust
02Trial readiness

Use the sandbox plan and setup guide before copying commands or approving local setup.

Trial plan and setup
03Governance trail

Check lifecycle history, alternatives, and the dossier before hire, promotion, or credentials.

History, alternatives, dossier
Full file listOpen ordered resources when the decision needs more evidence.

9 required records stay in review order; companion links are grouped for context.

Required recordsRead these before install, hire, promotion, or credential access.
Profile recordIdentity and resource contractScore detailFit and recommendation scoreEvidence ledgerSignals, sources, and gapsTrust reviewPermissions and safetyTrial guideSandbox task and criteriaSetup guideInstall method and client notesReview historyPast reviews and changesAlternativesNearby candidatesReadable dossierMarkdown decision brief
Companion links7 supporting records for context and discovery.
Short summaryShort summaryComparisonSide-by-side contextVisibility reportVendor claim and evidence gapsclaim.jsonCompanion linkResource mapSite resource mapSite contextShared review contextSitemapDiscovery index
Review order
  1. 01Decision recordIdentity, summary, and required review materials
  2. 02Score detailFit, recommendation, and decision scoring
  3. 03Evidence ledgerSource, reputation, and review gaps
  4. 04Full file listEvidence, setup, trust, trial, and history files

Use the compact page for quick review; open the full file list before recommending hire, install, promotion, or credential access.

Vendor path

Claim, verify, report, then feature

Vendor ownership and paid visibility options stay below the review package; evidence scores stay independent.

Start claim
Next stepClaim owner path

Submit public maintainer proof so corrections and paid visibility can be reviewed.

GuardrailExposure only

Paid placement can influence eligible exposure surfaces only after verification; trust, fit, safety, trial, and promotion scores remain evidence based.

done Indexed

The profile is discoverable with public profile, score, evidence, trust, install, and trial resources.

Open profile
current Claim owner path

Submit public maintainer proof so corrections and paid visibility can be reviewed.

Start claim
locked Verify evidence

Ownership, install metadata, safety posture, trial evidence, and public proof are checked independently.

Open visibility report
current Read visibility report

Use the report to see crawlable surfaces, comparison presence, evidence gaps, and the next fix.

View report
locked Apply for featured visibility

Featured exposure is available only after claim or verification readiness, and never changes scores.

Complete claim first
Commercial products and availabilityOpen claim, verification, report, and featured visibility options.
Claim profilefree

available · Start claim

Start claim
Verification reviewoptional paid

locked · Claim first

Claim first
Visibility reportoptional paid

available · Open report

Open report
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.