Memory infrastructure you can audit—built and validated in the open, with every capability claim gated on pre-registered measurement.
Get in TouchPurpose-built infrastructure for AI systems that need to remember, learn, and improve.
A Memory Substrate Under Measurement
We built a biologically inspired memory system, then tested our own claims against strong baselines with pre-registered pass/fail criteria. The retrieval hypothesis failed its test—we closed it and published the result. What survived is durable, replayable, provenance-complete memory infrastructure.
Retrieval thesis: closed
Graph vs. similarity, measured head-to-head—similarity won, and we said so
Substrate integrity: kept
Bit-identical replay, WAL durability, crash recovery, complete provenance
Next: gated on validation
Consequence at encoding, evidence-carrying answers, prospective memory
Production-ready
Docker-native, async-first Python SDK, full observability
The Self-Improving AI Agent
An autonomous agent that continuously improves codebases—governed by immutable constitutional constraints. Every change is tested in an isolated sandbox, measured across multiple fitness dimensions, and only integrated when it demonstrably improves the system.
Immutable safety guarantees
Checksummed constitution, zero-network sandbox, unconditional halt
Complete audit trail
Every decision, change, and LLM interaction logged and reversible
Outcome memory with provenance
Every cycle's results recorded and traceable—learning claims gated on measurement
Designed for auditability
Complete logs, reversible changes, DLP scanning
AI systems that remember previous interactions and maintain context across conversations, dramatically improving user experience and outcomes.
Intelligent systems that capture, organize, and retrieve your company's knowledge—making institutional memory accessible to everyone.
Customer service and internal support systems that learn from each interaction and provide increasingly helpful responses over time.
Tailored AI systems designed for your specific workflows and business requirements, built on our memory-augmented architecture.
Our memory-augmented architecture significantly reduces inference costs through intelligent caching and context reuse—without sacrificing quality.
By intelligently managing context and memory, our systems provide faster responses while maintaining or improving accuracy.
Built with privacy by design. Your data stays yours—self-hostable, with no third-party data extraction anywhere in the stack.
Every capability claim we make is backed by a pre-registered experiment—and when a claim fails its test, we retire it publicly rather than reword it.
EngramForge's platform is purpose-built for teams building, operating, and scaling AI systems.
Infrastructure teams adopting AI-augmented operations, autonomous agents, and intelligent automation
Teams building AI products that need persistent memory, pattern discovery, and self-improving systems
Organizations building internal developer platforms with AI-powered tooling and knowledge management
Engineering teams seeking autonomous code quality improvement, security hardening, and continuous optimization
No buzzwords. No overpromises. We publish our benchmarks—including the ones we lose—and we don't sell what hasn't passed its gates.
Get in Touchenterprise@engramforge.com