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DimensionPrism CoderPersistent memory + local AI for coding agents.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS60 / 100 · C79 / 100 · B
Reliability6 / 2012 / 20
Security and permissions8 / 2018 / 20
Maintenance16 / 2016 / 20
Documentation16 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • Developers who value privacy and want a local-first workflow
  • AI agent users who need reliable tool routing and verification
  • Teams that need cross-session memory and knowledge graphs
  • 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
  • Users who need full cloud features without a Synalux subscription
  • Those who need to run large models on modest hardware (27B requires ~16GB)
  • Scenarios requiring official vendor support
  • 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
  • Filesystem access to read/write local SQLite database and config files
  • Network access for Brave Search, Gemini AI, Supabase cloud sync, and Synalux portal
  • Execution of local Ollama models for inference
  • 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 storage may contain sensitive data; encryption recommended
  • Cloud features require API keys which could leak if mishandled
  • Model outputs may hallucinate; verification is essential
  • Local model routing may lead to stale information if context not managed properly
  • 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 Desktop, Claude Code, Cursor, Gemini CLI, CodexClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools110