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DimensionAGNTThe local-first agent operating system for building, running, and improving AI agents, workflows, and autonomous goals.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS30 / 100 · D79 / 100 · B
Reliability4 / 2012 / 20
Security and permissions7 / 2018 / 20
Maintenance8 / 2016 / 20
Documentation7 / 2018 / 20
Setup experience4 / 2015 / 20
Best for
  • Individual users running AGNT on a personal machine.
  • Small teams of 2-10 people sharing one backend.
  • Developers wanting a local agent backend they can inspect and extend.
  • Automation builders needing visual workflows plus AI judgment.
  • Power users wanting durable agents instead of throwaway chats.
  • 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
  • Public multi-tenant SaaS.
  • Hosting unrelated organizations on one shared instance.
  • Large enterprises with 50+ concurrent users or zero-trust isolation requirements.
  • Users who only need a hosted chatbot or prompt playground.
  • 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
  • Access local filesystem to read code and files.
  • Execute custom code (JavaScript/Python).
  • Call external APIs including AI providers.
  • Send and receive messages (Telegram, Discord, etc.).
  • Access network to connect to services.
  • 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
  • Local API on port 3333 might be exposed to network, risking unauthorized access.
  • Ensure production secrets are changed for secure deployments.
  • Plugins can contain arbitrary code, so only install from trusted sources.
  • Browser automation may consume significant resources.
  • 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 DesktopClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools90