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GoodMem vs GitMir

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

GoodMem compared with GitMir
DetailGoodMem logo GoodMemGitMir logo GitMir
What it doesMemory layer for AI agents that saves tokens, improves itself, and enforces access control AI model of your product's business logic accessible to people and AI agents
StageStartup Not given
Founded2024 Not given
Based inUS GB
Pricing modelFreemium Freemium
PricingSelf-hosted: Free for commercial use. GoodMem Cloud: From $15/mo with usage-based pricing, 14-day free trial. Enterprise: Custom pricing. Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features
  • Automated retrieval stack optimization
  • Multimodal document processing with page images
  • Granular access control and permissions
  • Hybrid search with dense and sparse embedders
  • Support for multiple LLM providers
  • Multi-language SDKs and APIs
  • Flexible deployment options
  • ISO/IEC 27001 certified security
  • SLSA Build L3 provenance
  • Builds features, rules and customer paths and keeps them current with every push
  • Shows what each commit changed in the business logic, not only in the code
  • Provides change impact analysis before merge showing what could break
  • Checks PRDs and specifications against the product
  • Delivers understanding to AI agents over MCP
  • Runs locally on your machine with GMM Local
  • Finds risky patterns and problems in the product
  • Enterprise deployment inside your security boundary
  • Integrates with Claude Code, Cursor, Codex and VS Code
  • MCP access for agents with 1-10 credits per answer
What makes it different
  • Achieves frontier model quality at 1/35 of the cost using small self-hosted models
  • Automatically optimizes retrieval stack for your data on real queries
  • Never locks you in with proprietary storage
  • Runs on-premises with full data control
  • Nearly 3× fewer errors on Benchmark 001 compared to alternatives
  • 8.4K tokens per question instead of 27.4K for competitors
  • Results published and measurable; method is proprietary
  • Reduces AI cost per completed agent action from $0.35 to $0.08
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)44 +1 (up) since last check27 no change since last check
Trust Flow (Majestic)103
Citation Flow (Majestic)3228
Referring domains (Majestic)7050

6 details filled in for both companies.

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