Your codebase, remembered.
Continuum keeps every session, decision, and repo in one unbroken memory your agents share. Persistent. Searchable. Yours.
Every session starts from zero. That's the bug.
AI coding agents are brilliant for an afternoon and amnesiac by morning. Each new session re-explains the architecture, re-discovers the decision, re-loses the thread. Multiply that by every agent you run and every repo you own, and most of what your team learns evaporates the moment a context window closes.
Nothing drops between sessions.
Persistent memory for AI coding agents
Your repos — code, docs, session notes, git history — ingested into semantic memory that survives every session. Ask "how did we handle auth in the billing service" and get the answer with the file, the commit, and the reasoning.
One memory, every agent
Continuum runs on Engram, our proprietary MCP memory server. Any MCP-compatible coding agent connects to the same memory — so switching agents mid-project, or running several at once, never severs the thread. The context belongs to your work, not to a vendor.
Decisions, with their reasons attached
Continuum's workflow records why, not just what. Session notes and decision ledgers become part of memory, so "why is it built this way" has an answer six months later — with the rationale intact.
Ask the memory. Get the reason.
› why is absolute_redirect off in our nginx config?
search_context("nginx absolute_redirect TLS proxy redirect scheme")
Result 1 · similarity 0.60 · repo: continuum
ai_interactions/claude/2026/06/end-06-14/005-design-system-foundation.md
nginx's default absolute redirects built Location: http://… — the mapped host port was dropped locally, and behind the TLS-terminating proxy the container would pin http:// into production redirects (https→http downgrade on every slashless hit). Fixed with absolute_redirect off; so nginx emits relative Location headers that the client resolves against its own scheme, host, and port. Commented in nginx.conf as load-bearing for the proxy deployment.
A real query against this site's own memory. The answer is the reasoning behind a line in the config serving the page you're reading — file, session, and rationale attached.
More than code.
Continuum ingests any corpus that lives in files — S1000D data modules, IETM packages, SGML/XML technical publications, engineering documentation. If your program produces artifacts and decisions that have to outlive the people who made them, Continuum keeps the record.
And Engram runs fully air-gapped: embeddings served by a local model on your hardware, over an OpenAI-compatible endpoint, with zero external network calls. Nothing leaves the enclave. Continuum for technical publications →
Built with itself.
This website was planned, branded, and built by agents reading from — and writing to — the same Continuum memory it describes. Every decision behind every page is recoverable, with reasoning, from the record. That's not a demo we constructed. It's just how we work.
Read how the loop works →