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tigerless-labs
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tigerless-labs/agent-memory

Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.

Python ◇ agent-memory MIT
★4.7KSTARS
⑂202FORKS
!52ISSUES
🏆#3,073GLOBAL RANK
🔥45DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

agent-memory is agent-memory is an open-source project written in Python: Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), tigerless-labs/agent-memory has accumulated 4,726 GitHub stars and 202 forks. It is written in Python, licensed under MIT, and ranks #3,073 globally. It is actively maintained with the latest commit recorded on Oct 22, 2026.”
Repository tigerless-labs/agent-memory ↗
Primary Category agent memory
Language & Stack Python
Software License MIT
Community Traction ★ 4.7K stars · ⑂ 202 forks · #3,073 globally
Maintenance ● Active (Last commit: Oct 22, 2026) · 52 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is agent-memory actively maintained in 2026?
Verdict: Actively Maintained

Yes, agent-memory is actively maintained. Continuous telemetry recorded the last code commit on Oct 22, 2026 (21 days ago). Supported by 4,726 stars and 202 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (21 days ago) and healthy issue cadence.

Commit Recency
Oct 22, 2026
21 days since last push
Issue Backlog
52 Open Issues
Healthy Issue Cadence
Community Backing
202 Forks
4.7K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for tigerless-labs/agent-memory
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Momentum

+2.6K

STARS · LAST 30 DAYS

88

PER DAY

#473

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+2.6K+7.9K
Per day18888
Forks gained+0+76+10

agent-memory gained 2.6K stars in the last 30 days, about 88 a day, and now has 4.7K. It is about 1 year old and has averaged roughly 4.7K stars a year. It ranks #473 among Python repositories and #3,073 across all languages on GitHubRepo.

Trending Record

agent-memory has maintained a continuous presence across global trending indexes, peaking at #23. Below is the 30-day activity profile:

💡 Overview

agent-memory is an open-source project written in Python: Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install agent-memory

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agent-memory coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed agent-memory into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open source license.

🚀 Getting Started

1

Install agent-memory using your package manager: `pip install agent-memory`

2

Initialize your project workspace or configuration file for agent-memory.

3

Import agent-memory into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `agent-memory --help` to verify successful setup.

👍 Strengths

Active community backing with 4,726 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

tigerless-labs/agent-memory is currently ranked #3,073 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,067 lucaslorentz/caddy-docker-proxy Go ★ 4.7K Compare ↗
#3,069 devicekit/DeviceKit Swift ★ 4.7K Compare ↗
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#3,071 nicholas-fedor/watchtower Go ★ 4.7K Compare ↗
#3,072 microsoft/WindowsAppSDK C++ ★ 4.7K Compare ↗
#3,073 tigerless-labs/agent-memory This Project Python ★ 4.7K
#3,074 google-deepmind/dm_control Python ★ 4.7K Compare ↗
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Frequently Asked Questions

What does agent-memory do? +

Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.

Is agent-memory actively maintained in 2026? +

Yes, agent-memory is actively maintained. The latest code push was recorded on Oct 22, 2026 (21 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 4,726 stars and 52 open issues.

What language is agent-memory written in? +

The primary language is Python. Topics include: agent-memory, ai-agents, claude-code, codex, llm.

How many stars does agent-memory have? +

agent-memory has 4,726 stars and 202 forks on GitHub.

How does agent-memory rank among GitHub repositories? +

With 4,726 stars, tigerless-labs/agent-memory is ranked #3,073 globally across all repositories tracked on GitHubRepo and #473 among Python projects.

What license is agent-memory distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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