github Actively maintained

Memento-Teams/Memento

Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

1 awesome list

Quick read

Stars
2,569
Forks
298
Open issues
14
Commits
79

Activity and growth

Latest capture 2026-09-07 10:54

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
0
Stored snapshots
1

Metadata

Language
Python
License
MIT
Default branch
main
Created
2025-06-20
First commit
2025-06-20
Last pushed
2025-10-05
GitHub updated
2026-09-07
Last synced
2026-09-07 10:54
Stack scanned
2026-09-07 10:54
Archived
No

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

1 observed capture since 2026-09-07. 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.

TencentCloud/TencentDB-Agent-Memory

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

26,785 stars
TypeScript 5 awesome lists

Tencent/TencentDB-Agent-Memory

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.

4,472 stars
TypeScript 2 awesome lists

CaviraOSS/OpenMemory

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

4,422 stars
TypeScript 1 awesome list

mem0ai/mem0

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

65,203 stars
Python 8 awesome lists