terraphim_agent_evolution 1.19.3

Agent evolution system for Terraphim AI

Coverage
33.46%
258 out of 771 items documented0 out of 226 items with examples
Size
Source code size: 389 kB This is the summed size of all the files inside the crates.io package for this release.
Documentation size: 12.81 MB This is the summed size of all files generated by rustdoc for all configured targets
Ø build duration
this release: 1m Average build duration of successful builds.
all releases: 56s Average build duration of successful builds in releases after 2024-10-23.
Links
crates.io
Dependencies
Versions
Owners

Terraphim Agent Evolution System

A comprehensive agent memory, task, and learning evolution system that tracks the complete development and learning journey of AI agents over time.

Core Features

Versioned Memory: Time-based snapshots of agent memory states
Task List Evolution: Complete lifecycle tracking of agent tasks
Lessons Learned: Comprehensive learning and knowledge retention system
Goal Alignment: Continuous tracking of agent alignment with objectives
Evolution Visualization: Tools to view agent development over time

Architecture

The evolution system consists of three core tracking components that work together:

Memory Evolution: Tracks what the agent remembers and knows
Task List Evolution: Tracks what the agent needs to do and has done
Lessons Evolution: Tracks what the agent has learned and how it applies knowledge

All components use terraphim_persistence for storage with time-based versioning.