github Actively maintained

g1itchbot8888-del/agent-memory

Memory system for autonomous agents - built by an agent, for agents

1 awesome list

Quick read

Stars
7
Forks
2
Open issues
0
Commits
42

Activity and growth

Latest capture 2026-08-09 03:02

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
+1
Stored snapshots
8

Classification

Technology stack

Metadata

Language
Python
License
MIT
Default branch
main
Created
2026-02-01
First commit
2026-02-01
Last pushed
2026-02-27
GitHub updated
2026-07-05
Last synced
2026-08-09 03:02
Stack scanned
2026-08-09 03:02
Archived
No

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

8 observed captures since 2026-05-22. Observed captures are shown by default.

Stars from first capture +1

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.

phenomenoner/openclaw-mem

The AI agent memory layer you can audit — local-first memory governance for AI agents: citations, trust policies, trace receipts, rollback. SQLite, sidecar-first, OpenClaw plugin.

28 stars
Python 1 awesome list

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

mem0ai/mem0

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

64,676 stars
Python 8 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

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.

25,859 stars
TypeScript 5 awesome lists