MemPalace for AI agents with heavy technical context — does it solve solution drift?

[revolutionarybukhari]

Context

I'm building an AI agent system that operates in a domain with a large amount of dense technical context — things like custom architecture decisions, internal APIs, domain-specific constraints, and accumulated design rationale that builds up over time.

The core problem I keep running into: solutions drift away from the established context. As sessions progress or new sessions start, the agent starts proposing things that contradict earlier decisions — ignoring constraints we've already worked through, re-deriving things we already know, or losing the thread of "why we do it this way."

My specific questions

1. Is MemPalace actually the right tool for this use case? The problem I'm solving is less about "remember what files changed" and more about "remember the reasoning, constraints, and design decisions that have been established." Does MemPalace handle semantic/conceptual memory like that, or is it primarily built around code/conversation mining?
2. How do you structure the palace to prevent drift? I've read about the Contract Drawer pattern and KG triples — are those the main mechanisms for anchoring agents to constraints, or is there a better pattern for this?
3. What's the realistic failure mode at scale? I've seen the ChromaDB corruption issues mentioned extensively. For a production agent system (not just personal dev tooling), is the stability good enough, or should I be looking at the TurbovecDB backend or a Postgres fork from day one?
4. Does the "gotcha loop" mechanism actually work for domain rules? The idea of promoting a learned constraint to a KG triple so all future agents see it on startup sounds exactly like what I need — but does it hold up when the constraint is nuanced (e.g., "use approach X except when condition Y is true")?
   Any experience from people running agents in heavily constrained technical domains would be really helpful. Happy to share more about the specific domain if that helps.

[et1975]

my copilot integration skillset has instructions to file important discoveries with mempalace. As long as you make the changes agentically it will remember for the next session. If you are pulling in fresh changes from somewhere/someone else you can just tell it to refresh mempalce with latest before starting work.