femind 0.2.0

Pluggable, feature-gated memory engine for AI agent applications
Documentation

femind

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 19 feature flags, 1 of them enabled by default.

default

fts5 (default)

This feature flag does not enable additional features.

activation-model

This feature flag does not enable additional features.

ann

api-embeddings

api-llm

cli-llm

This feature flag does not enable additional features.

consolidation

This feature flag does not enable additional features.

encryption

encryption-vendored

full

graph-memory

This feature flag does not enable additional features.

keychain

llm-ingest

This feature flag does not enable additional features.

local-embeddings

mcp-server

reranking

temporal

This feature flag does not enable additional features.

two-tier

This feature flag does not enable additional features.