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Talamus

Talamus — Memory that survives the session.

Local-first, source-grounded memory that you and your AI agents share.

Talamus turns documents, repositories, URLs, and consented agent sessions into durable Markdown knowledge. It retrieves that knowledge with citations and bitemporal history, on your machine and with the LLM engine you already use. The engineering case study documents the architecture, measurements, trade-offs, and engineering role behind the project.

Install and connect Read the case study

pipx install "talamus[mcp]"
talamus setup

No account or hosted service is required. Plain search and recall are local and free; operations that invoke an LLM remain explicit.

See memory survive a fresh session

A completed agent session becomes cited, local memory for the next one.

Talamus gives Claude Code, Cursor, Codex, OpenCode, and OpenClaw cited search, recall, history, provenance, and consent-gated writes, while the same brain stays readable as ordinary Markdown plus a local SQLite/FTS5 index.

What makes it different

  • Time — inspect what the brain knew at an earlier date with --as-of, history, and timeline.
  • Meaning — induce and review an evidence-backed ontology instead of imposing a fixed folder tree.
  • Verifiability — retain source provenance, cite retrieved notes, and gate proposed corrections behind review.
  • Local-first control — keep the core usable without a cloud account, hosted database, or hidden paid call.

The measured benchmarks publish both wins and losses, with every public number traced to a committed result artifact.

Where to go next

Talamus was created and is maintained by Giovanni “Angio” Crapuzzi under the Ampres project name. See the privacy policy and terms of use.