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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionGraphARCThe admission gate for agent graphs, built on LangGraphMartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS61 / 100 · C79 / 100 · B
Reliability10 / 2012 / 20
Security and permissions10 / 2018 / 20
Maintenance14 / 2016 / 20
Documentation15 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Teams that need agent workflows under deterministic admission and policy constraints
  • Scenarios requiring worst-case pricing before execution and per-node cost attribution after
  • Compliance or investigation workflows needing one replayable audit trace where the dashboard and the audit trail are the same file
  • Organizations that want a human to press a button before execution starts, for example from Slack
  • Developers who want deterministic, reproducible demos and tests on any checkout via `--scripted`
  • Engineering teams scaling AI coding agents while controlling spend
  • Platform teams that need auditable, rollback-aware agent execution records
  • Organizations using multiple agents (Claude, Codex, Gemini) under one governed flow
Not for
  • Those who only need an interactive single-agent loop without pre-execution authorization
  • Anyone looking for a general personal AI assistant gateway or a tool configured by allowlists
  • Users expecting node arguments to be fully validated: admission authorises a node's kind, arguments are checked only where the kind declares an args_schema, and a schema bounds their shape, not what a factory lets them reach
  • Scenarios requiring the HTTP API to use a durable session layer, or the tool plane to be governed by policy documents instead of CLI flags
  • Users who need agent nodes on the Claude CLI backend to be fully governed: by default they run under an allowlist mapped from the node's own tools, but enforcement there is Claude Code's, and the explicit bypass tier has no checks at all
  • Developers who just want a simple code-completion helper without run governance
  • Teams unwilling to accept local JSONL run records with HMAC signing
  • Environments without a supported adapter (Claude/Codex/Gemini CLIs, direct provider, or verifier-only)
Required permissions
  • The default backend drives the claude CLI on your PATH (a Claude subscription, no API key)
  • Node bodies come from the registry, never from a proposal; the registry is the source of the kinds a planner may propose
  • Policy decides what the planner is able to propose: a denied edge changes the shape of the graph rather than producing a refusal to retry
  • The MCP gate binds the MCP surface, not the host: an agent with its own file tools in the run directory could forge the approval decision, and the trust boundary is the working directory
  • run_command children are unconfined
  • ContainerExecutor is the real boundary; the in-process sandbox is defense in depth
  • Read/write access to the configured repo root (writable scope restrictable via --allow-path/--deny-path)
  • Ability to invoke the chosen agent CLI (Claude/Codex/Gemini, etc.) and its underlying model account
  • Local disk writes for run records, receipts, and share outputs (share/run-receipt., etc.)
  • Execution of user-configured verifier commands (e.g. npm test)
Risks and side effects
  • Admission authorises a node's kind; arguments are validated only where the kind declares an args_schema, and a schema bounds their shape rather than what a factory lets them reach
  • The in-process sandbox is defense in depth, run_command children are unconfined, and ContainerExecutor is the real boundary when explicitly used
  • The HTTP API does not yet use the durable session layer
  • On the Claude CLI backend an agent node is delegated, not governed: by default it runs under an allowlist mapped from the node's own tools, but enforcement is Claude Code's, and the bypass tier has no checks at all
  • Policy documents govern planning while the tool plane still reads CLI flags
  • The MCP gate binds the MCP surface, not the host: an agent with its own file tools in the run directory could forge the approval decision; the trust boundary is the working directory, as it is for the Slack workspace
  • Verifier commands are executed; poorly chosen verifier commands carry security risk despite preflight policy checks
  • Cost and token figures may be estimates (labeled with provenance) and should not be treated as settled accounting
  • Receipt integrity must be verified before use as trustworthy evidence; missing rollback evidence is flagged as EVIDENCE_BOUNDARY
  • Policy defaults come from martin.config.yaml and can be overridden by CLI flags; misconfiguration can loosen safety boundaries
Supported clientsClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
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