vestige/Cargo.toml
Sam Valladares 927f41c3e4 feat: Vestige v1.5.0 — Cognitive Engine, memory dreaming, graph exploration, predictive retrieval
28-module CognitiveEngine with full neuroscience pipeline on every tool call.
FSRS-6 now fully automatic: periodic consolidation (6h timer + inline every
100 tool calls), real retrievability formula, episodic-to-semantic auto-merge,
cross-memory reinforcement, Park et al. triple retrieval scoring, ACT-R
base-level activation, personalized w20 optimization.

New tools (19 → 23):
- dream: memory consolidation via replay, discovers hidden connections
- explore_connections: graph traversal (chain, associations, bridges)
- predict: proactive retrieval based on context and activity patterns
- restore: memory restore from JSON backups

All existing tools upgraded with cognitive pre/post processing pipelines.
33 files changed, ~4,100 lines added.
2026-02-18 23:34:15 -06:00

34 lines
703 B
TOML

[workspace]
resolver = "2"
members = [
"crates/vestige-core",
"crates/vestige-mcp",
"tests/e2e",
]
[workspace.package]
version = "1.5.0"
edition = "2024"
license = "AGPL-3.0-only"
repository = "https://github.com/samvallad33/vestige"
authors = ["Sam Valladares"]
[workspace.dependencies]
# Share deps across workspace
tokio = { version = "1", features = ["full"] }
serde = { version = "1", features = ["derive"] }
serde_json = "1"
thiserror = "2"
chrono = { version = "0.4", features = ["serde"] }
uuid = { version = "1", features = ["v4", "serde"] }
tracing = "0.1"
[profile.release]
lto = true
codegen-units = 1
panic = "abort"
strip = true
opt-level = "z"
[profile.dev]
opt-level = 1