Engram

engram

Self-hosted, correctable, OAuth-secured memory for coding agents, exposed over the Model Context Protocol (MCP).

engram is a small Go server that stores deliberately-chosen, durable facts (decisions, preferences, conventions, gotchas) as vectors in Qdrant, embeds them with a configurable model via an OpenAI-compatible endpoint, and serves them to agents (e.g. Claude Code) over streamable-HTTP MCP. Every memory is a single engram — editable and deletable, so the store stays correct over time rather than accreting junk.

Why

LLM agents lose context between sessions. A memory layer fixes that — but an auto-extracting one fills up with transient noise. engram is explicit and zero-junk by construction: the agent stores only what's worth keeping, can search before storing to avoid duplicates, and supersedes stale facts on contradiction. Writes are attributed to the verified caller, so you always know who recorded a memory.

Documentation

Full documentation — quickstart, deploy, configuration, the MCP tool contract, the memory-record and auth/isolation model, and contributor guides — lives at https://engram.seanb4t.dev (source under docs-site/).

Topic	Link
Quickstart	https://engram.seanb4t.dev/guides/quickstart/
Deploy (Helm / Docker)	https://engram.seanb4t.dev/guides/deploy/
Configuration (ENGRAM_*)	https://engram.seanb4t.dev/guides/configure/
MCP tools	https://engram.seanb4t.dev/reference/tools/
Auth & isolation	https://engram.seanb4t.dev/reference/auth/

License

Apache License 2.0.