Memory 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
Stage
Startup
Not given
Founded
2024
Not given
Based in
US
GB
Pricing model
Freemium
Freemium
Pricing
Self-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