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DimensionMemorixLocal-first shared memory layer for AI coding agents.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS66 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions15 / 2018 / 20
Maintenance14 / 2016 / 20
Documentation16 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Development teams that want shared project memory across different AI coding tools.
  • Experienced developers who frequently start new sessions and lose context.
  • Projects that value preserving design decisions and reasoning.
  • Users who prefer local-first, privacy-friendly memory storage.
  • Users working with multiple MCP-compatible agents who want a unified memory layer.
  • 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
  • Simple projects that only need single-session memory.
  • Users without Node.js or Git environments.
  • Teams needing cloud sync or centralized memory management (Memorix is local-first).
  • Users needing fully automatic, review-free long-term memory (long-term memory requires manual candidates and approval).
  • Beginners who are configuration-sensitive, as setup involves multiple steps.
  • 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
  • Read and write local files (project root and memorix data directory).
  • Execute Git commands (e.g., commit history reading).
  • Start local HTTP services (if background mode is enabled).
  • Optional API keys for LLM generation and embeddings (e.g., OpenAI, OpenRouter).
  • Install agent plugins, rules, hooks, and skills (via setup command).
  • 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-first means memory is not synced to cloud; you must back it up yourself.
  • Misconfigured API keys may send data to third parties; ensure keys are secure.
  • Hooks may consume computational resources or impact performance.
  • Long-term memory requires human review, otherwise incorrect information may accumulate.
  • Orchestration may create multiple worktrees or branches, requiring careful merge conflict resolution.
  • 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, Cursor, Windsurf, Gemini CLI, GitHub Copilot CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Kiro, OpenCode, TraeClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
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