Solutions · Technology

Velocity with receipts—memory for how you actually ship

Your LLM stack already moves fast; Amnesis is the governed memory plane underneath: docs, tickets, on-call notes, and release artifacts as structured recall—so copilots and agents answer from your truth, with checkpoints per release and explicit gaps when the record is thin.
Test a Better RAG Better RAG overview
Keyboard and desk setup—illustrative of product and engineering work.

Illustrative stock photography · Unsplash

Why it wins

AI that respects your release train

Commodity RAG breaks when repos, wikis, and Slack move hourly. Amnesis treats knowledge as versioned nodes with provenance—so “current” is a deliberate scope, and yesterday’s incident write-up does not silently become today’s law.

ADRs & runbooks, first-class

Ingest architecture decisions and on-call paths as governed memory—not brittle copy-paste into prompts.

Checkpoints per cut or incident

Pin what the org knew for postmortems, compliance asks, and customer comms—replayable, not rewritten.

Agent-ready plane

Same memory for chat, codegen assistants, and orchestrated agents—bounded by workspace, not infinite context tricks.

Any LLM

Keep your model vendor; Amnesis makes recall traceable and approval-friendly across surfaces.

Discover. Ship. Operate.

The same three motions high-performing platform teams expect—wired to governed memory instead of anonymous chunks.

Discover

Find what your corpus supports across docs, tickets, and design artifacts—with citations and “not in memory” as outcomes.

Ship

Draft RFCs, changelogs, and customer-facing notes from governed sources; flag stale or conflicting references before merge.

Operate

Keep SRE and support copilots on the same memory plane as engineering—auditability for escalations, not one-off threads.

Code on a screen—illustrative.
Stock image via Unsplash.

Across the org chart

Engineering, product, design, and technical support—scoped workspaces, shared discipline on provenance.

Team working together—illustrative.
Engineering & platform

Repo-adjacent Q&A, migration guides, and service ownership docs—with lineage when services split or merge.

Product & design

PRDs and research ingested as nodes; assistants align narratives to what was actually approved.

Customer success & support

Answers grounded in shipped behavior and policy; thin coverage surfaces for human takeover.

How memory-first AI works

Try the wedge in an afternoon

Better RAG demo: ingest a corpus, open Avatar chat, and verify context hits—evidence that memory is in the loop.

Laptop with code on screen—illustrative developer workspace.
Stock image via Unsplash. Live UI: Test a Better RAG.

Under the hood

Structured nodes, not anonymous chunks.

Governed recall

Embeddings from versioned text; inspect what fired.

Checkpoints

Release, incident, or customer-specific pins without erasing history.

Contradiction-aware

Old wiki vs. new doc? Both visible; no auto-merge.

Diagram: three steps—ingest versioned nodes with provenance, recall via embeddings scoped to workspace and checkpoint with an inspectable record, then answers with citations and visible gaps.

Make your next LLM rollout defensible

Position Amnesis as the truth layer: what was ingested, what was retrieved, and what was never in memory—so security and platform sign-off gets easier, not harder.

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