TeleAI-UAGI/Awesome-Agent-Memory - thehardwarestore.ai

── AI DEEP ANALYSIS ──

reviewed by: deepseek/deepseek-v4-flash

This repository is an 'awesome list' curated by the TeleAI-UAGI team, aggregating open-source and closed-source products, papers, benchmarks, tutorials, and surveys on memory systems for LLM/MLLM agents. It does not contain application business logic or runnable services; its primary output is a meticulously structured README.md that serves as a reference catalog. The accompanying Python scripts automate two maintenance tasks: (1) checking that open-source entries are ordered by GitHub star count and respecting a 100-star boundary for emerging projects, and (2) generating self-hosted star-history SVG charts. The scripts are well-crafted, with robust parsing, GitHub API integration, and careful edge-case handling (grace bands, orphan detection), making them reusable for other awesome-list maintainers. The repository's value lies in its curated content rather than its code, but the supporting infrastructure demonstrates solid engineering principles.

── METRICS ──

RATING6.8/10

QUALITY6.5/10

MAINTENANCEactive

DRIFTlow

CONTRIBUTORS47

VELOCITY0.93

OPEN ISSUES2

CLOSED ISSUES10

LAST COMMIT4 weeks ago

── TAGS ──

#awesome-list #agent-memory #llm-memory #curated-list #github-stars #star-history #ai-agent #memory #memory-management #rag #ai-agent-memory #awesome-agent-memory #multimodal-llm-memory #awesome #continual-learning #llm #long-term-memory

── GITHUB TOPICS ──

agent-memory ai-agent llm-memory memory memory-management rag ai-agent-memory awesome-agent-memory multimodal-llm-memory awesome awesome-list continual-learning llm long-term-memory

── FILE BREAKDOWN ──

Files by Type (count)

YAML

4

Markdown

4

Other (.png)

3

Python

3

Other (no ext)

2

Other (.svg)

2

Git Ignore

1

Other (.cff)

1

TOML

1

Files by Type (size)

Other (.png)

1MB

Markdown

129KB

Python

20KB

Other (no ext)

11KB

Other (.svg)

10KB

YAML

3KB

Other (.cff)

1KB

TOML

1017B

Git Ignore

31B

── KEY FINDINGS: REUSABLE CODE ──

The LLM identified 1 files worth highlighting for reuse:

A standalone Python script that parses the Open-Source products section of any README.md with the same format (Github star badges, numbered entries, an 'Emerging projects' details block), fetches live star counts via the GitHub API, validates descending order, and flags entries on the wrong side of a 100-star boundary with a configurable grace band. It is highly reusable for any awesome-list maintainer because the format is standardized and the script handles indented sub-items, orphan badges, and CI integration (non-zero exit on failure).

file: scripts/check_star_order.py ↗ | tags: #list-validation #github-api #ordered-list

── HISTORY ──

Last analyzed: 2026-09-20 16:43:40.405755

Next check: 2026-09-27 16:43:40.387985

$ show TeleAI-UAGI/Awesome-Agent-Memory