shibing624/agentica
One person, a team of agents. Multi-session CLI that collaborates across terminals; /goal keeps long tasks running; WeChat/WeCom/Feishu gateway lets you call them back when you walk away. Async Python SDK, persistent memory, self-evolving skills.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,275
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
agentica gained 10 stars in the last 30 days, about 1 a day, and now has 355. It is about 2 years old and has averaged roughly 178 stars a year. It ranks #1,275 among Python repositories and #10,031 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#10058
BEST RANK
Oct 15, 2026
FIRST APPEARANCE
Active
STATUS TODAY
agentica has maintained a continuous presence across global trending indexes, peaking at #10058. Below is the 30-day activity profile:
💡 Overview
agentica is an open-source project written in Python: One person, a team of agents. Multi-session CLI that collaborates across terminals; /goal keeps long tasks running; WeChat/WeCom/Feishu gateway lets you call them back when you walk away. Async Python SDK, persistent memory, self-evolving skills.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agent-framework, agentica. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install agentica⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
agentica 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with agentica.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install agentica using your package manager: `pip install agentica`
Initialize your project workspace or configuration file for agentica.
Import agentica into your codebase or invoke it directly from your terminal.
Execute your test suite or run `agentica --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
shibing624/agentica is currently ranked #10,031 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,020 | fuddlesworth/PlasmaZones | C++ | ★ 356 | Compare ↗ |
| #10,020 | richkuo/go-trader | Python | ★ 356 | Compare ↗ |
| #10,020 | 410979729/scope-recall-hermes | Python | ★ 356 | Compare ↗ |
| #10,020 | arinltte/latte | Swift | ★ 356 | Compare ↗ |
| #10,020 | byrencheema/airstats | Swift | ★ 356 | Compare ↗ |
| #10,031 | shibing624/agentica This Project | Python | ★ 355 | |
| #10,031 | rlisagor/freshen | Python | ★ 355 | Compare ↗ |
| #10,031 | fluent-plugins-nursery/fluent-plugin-kubernetes_metadata_filter | Ruby | ★ 355 | Compare ↗ |
| #10,031 | aseprite/laf | C++ | ★ 355 | Compare ↗ |
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Frequently Asked Questions
What does agentica do? +
One person, a team of agents. Multi-session CLI that collaborates across terminals; /goal keeps long tasks running; WeChat/WeCom/Feishu gateway lets you call them back when you walk away. Async Python SDK, persistent memory, self-evolving skills.
What language is agentica written in? +
The primary language is Python. Topics include: agent, agent-framework, agentica, agents, ai-agent.
Is agentica actively maintained? +
Yes, the last recorded push was on Oct 15, 2026 with 1 open issues being tracked.
How many stars does agentica have? +
agentica has 355 stars and 48 forks on GitHub.
How does agentica rank among GitHub repositories? +
With 355 stars, shibing624/agentica is ranked #10,031 globally across all repositories tracked on GitHubRepo and #1,275 among Python projects.
What license is agentica distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
