github Actively maintained

Agnuxo1/TartanIMU-Cognitive-Stack

Deterministic-first cognitive orchestration with bounded TypeSafe JEV supervision, evidence-aware escalation, and privacy-minimizing telemetry.

0 awesome lists

Quick read

Stars
2
Forks
0
Open issues
0
Commits
7

Activity and growth

Latest capture 2026-09-27 04:00

Stars · last 7 days
0 0.0%
Commits · last 7 days
0 0.0%
Stars since tracking
0
Stored snapshots
3

Classification

Technology stack

Metadata

Language
Python
License
MIT
Default branch
main
Created
2026-09-23
First commit
2026-09-23
Last pushed
2026-09-23
GitHub updated
2026-09-24
Last synced
2026-09-27 04:00
Stack scanned
2026-09-27 04:00
Archived
No

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

3 observed captures since 2026-09-25. Observed captures are shown by default.

Stars from first capture 0

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

socai-io/jev-social

Open-source, read-only social media research agent for Instagram, TikTok, and LinkedIn. Jev routes bounded steps; local socai CLI captures browser evidence.

96 stars
JavaScript 1 awesome list

Agnuxo1/Cognitive-Skills-Engine-Advanced

A compatibility-first cognitive architecture for deterministic routing, evidence-aware traces, and reusable expert skills.

2 stars
TypeScript 0 awesome lists

Leonxlnx/unlazy

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

3,139 stars
JavaScript 1 awesome list

julep-ai/julep

Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.

6,582 stars
Python 2 awesome lists