The decision and control layer for agentic software development.

Governance before generation. Not after review.

Mneme HQ is the decision and control layer for agentic software development. Architecture is the first decision domain: Mneme helps coding agents follow your project's approved architectural decisions and prevents architectural drift before it reaches review.

AI coding agents generate code at high speed but lack continuity with prior architectural decisions. As AI output scales faster than human review capacity, architectural drift becomes a major bottleneck.

Mneme solves this by shifting governance left, enforcing decisions before code is generated rather than after drift reaches review.

How It Works

Mneme stores your project's architectural decisions, constraints, approved patterns, and anti‑patterns as structured, repo‑native governance records that live alongside your code.

It then deterministically retrieves the most relevant decisions, injects compact context into LLM prompts at generation time, and evaluates output against your architectural constraints before review.

Repo‑native by design

Governance records live in the repository as structured JSON, version‑controlled alongside the code they govern. The CLI retrieves matching decisions, evaluates output, and surfaces violations before review.

Why this matters

Without enforced architectural continuity, AI‑assisted development drifts. Patterns diverge across iterations. Frameworks conflict. Reviewers absorb the cost. With governance enforced upstream, decisions stay aligned across sessions, contributors, and agents.

Our mission

To give teams reliable architectural continuity across sessions, contributors, and agents, so they can scale AI‑assisted development without losing architectural consistency.

The AI SDLC is the first proving ground

As autonomous systems take on more consequential work, organizations will need more than identity, permissions, and traces. An agent also needs a durable way to know which human decisions govern the work it is performing, and that source has to sit outside the agent to survive a change of model, harness, or vendor.

Mneme HQ starts with software engineering because architecture makes that testable. Architectural decisions are already written down in a recognized form, proposed changes can be inspected mechanically, and a verdict has somewhere to land before the change becomes real. The longer-term direction is decision infrastructure that preserves organizational intent as the systems acting on it keep changing. We are building the software case first, and treating the broader claim as a thesis rather than a shipped capability. The argument is set out in The Agent Economy Needs a Decision Layer.

Publications & contributions

Independent publications where Mneme's architectural governance thesis has been authored or contributed by founder Theo Valmis.

What Mneme is not

Mneme is positioned deliberately. It is not:

• An AI memory tool or prompt persistence layer.
• A general‑purpose context manager for chat sessions.
• A RAG or vector database for code retrieval.
• A rules file replacement that documents standards without enforcement.

Rules files document standards. Mneme enforces them.

Memory tools recall context. Mneme governs implementation.

RAG retrieves knowledge. Mneme operationalises decisions.

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Get involved

Mneme HQ is built openly, in public, and grounded in real implementation work on production systems. If governance, continuity, or reliability for AI‑assisted development workflows is something you care about, get in touch.

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