Engram — AI agent memory system with SQLite+FTS5, MCP integration, and quality gates. Canonical distribution (formerly published as 'memorytrace').
Project description
Engram
Persistent memory for AI agents, backed by SQLite + FTS5.
Install
pip install engram-ms
Optional extras:
pip install "engram-ms[llm]"
pip install "engram-ms[semantic]"
pip install "engram-ms[mcp]"
pip install "engram-ms[full]"
The
memorytracedistribution name is the legacy alias still on PyPI:pip install memorytraceinstalls the same engine.
Simple CLI
The default CLI is engram. python -m engram is equivalent.
engram init
engram save "Minseong Jeong is the CTO of Galaxy Corp"
engram find "CTO"
engram who "Minseong Jeong"
engram remember "Minseong Jeong" "Interested in AI and robotics"
engram status
Advanced CLI
Use engram-advanced when you need structured options, JSON output, or a custom DB path.
engram-advanced --db ~/.engram/memory.db search "Galaxy Corp" --max-results 5
engram-advanced --json health
Python SDK
from engram.integrations.sdk import EngramSDK
with EngramSDK() as sdk:
sdk.start_session("assistant")
sdk.store("Minseong Jeong is the CTO of Galaxy Corp")
sdk.add_fact("Minseong Jeong", "Interested in AI and robotics")
result = sdk.search("Galaxy")
print(result.to_agent_context())
Source Checkout Compatibility
A repo-local python mem ... wrapper is kept for backward compatibility in source checkouts.
It forwards to the same simple CLI as engram, but it is not installed as a packaged console script.
Related packages
The engram namespace on PyPI is reserved for small, focused tools that share
this memory model. Sibling packages currently published from this workspace:
| Package | Status | Purpose |
|---|---|---|
engram-ms |
canonical (0.0.x placeholder, full engine in 0.1.x) |
The engram-named distribution — preferred install |
memorytrace |
legacy alias | The original distribution name; same engine |
Docs
docs/04-usage-guide/01-quickstart.mddocs/01-project-analysis/05-cli-commands.mddocs/01-project-analysis/09-setup-guide.md
Project details
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