| What it does | Memory layer for AI agents that saves tokens, improves itself, and enforces access control
| An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
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| Stage | Startup
| MVP
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| Founded | 2024
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Self-hosted: Free for commercial use. GoodMem Cloud: From $15/mo with usage-based pricing, 14-day free trial. Enterprise: Custom pricing.
| Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
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| 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
| - Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
- Spending limits checked before each model call at token prices you declare
- Resume after crash without repeating finished actions
- Tool calls returned as actions for your code to carry out
- Proof of what ran: check prompts, re-run engine, download hash-chained journal
- Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
- MCP server for Claude Code, Claude Projects and Codex
- Works with any model via bring-your-own-key
- TypeScript and Python clients for HTTP API access
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| 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
| - Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
- Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
- Resumes from crash without repeating finished actions using stable idempotency keys
- Budget enforcement before each model call, not reactive overage billing
- No model key storage or logging; your provider bills you directly
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 44 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 10 | 0 |
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| Citation Flow (Majestic) | 32 | 9 |
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| Referring domains (Majestic) | 70 | 4 |
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