agentica
An Async-First Python Agent development framework designed for building long-running, capable, and self-evolving agents.
Install & Use
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Help me install this AI Skill: agentica. It is used for: An Async-First Python Agent development framework designed for building long-running, capable, and self-evolving agents. Full Skill content: https://321skill.com/skills/agentica/raw/index.md Read that page and install it.
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This framework addresses key challenges in AI agent development for long-running tasks, such as agents going off-track, unstable tool calling, lack of cross-session memory, and limited continuous evolution. In practice, developers often need to build agents capable of handling complex, multi-step tasks. However, existing frameworks provide insufficient support for asynchronous loop control, cost budgeting, and dead-loop prevention, making it difficult to reliably get agents to "run."
Usage is straightforward. Simply install agentica via pip and start your agent via its CLI or Web Gateway. You can then set long-term goals using natural language commands (e.g., /goal). The agent will operate within an asynchronously-driven Agentic Loop, automatically calling tools, managing memory, and executing tasks. Built-in context compression and cost tracking ensure stable task execution.
It is particularly well-suited for teams or individuals building production-grade, long-running AI agents. This is especially true for developers who have tried frameworks like LangChain or AutoGen but found their asynchronous support, memory persistence, or skill reusability lacking. It is an excellent fit for projects where agents need to learn from both failures and successes, solidifying that experience into reusable skills.
We recommend using this tool uniformly for complex scenarios requiring file processing, multi-agent collaboration, or cross-session memory. Note that it is primarily a Python framework requiring Python 3.10+ and its core strengths lie in asynchronous execution and self-evolution capabilities. For simple, one-off, chat-style tasks, it may be overly heavyweight.
Key Features
Unlike frameworks like LangChain, which require developers to manually assemble long-task loops, Agentica comes with a built-in, specially optimized asynchronous Agentic Loop. It natively supports `/goal` long tasks and includes built-in dead-loop prevention, cost budgeting, and context compression. Compared to AutoGen/CrewAI, its unique self-evolution capability can automatically compile experiences from tool failures and user corrections into reusable `SKILL.md` files that persist across sessions.
Limitations
This is a Python framework requiring Python 3.10+. It is primarily targeted at server-side or CLI environments and does not provide direct integration for mobile or lightweight web frontends.
FAQ
What is the difference between Agentica and LangChain?
Agentica is an Async-First agent harness with a built-in long-task loop, dead-loop prevention, cost budgeting, and self-evolving Skill compilation. In contrast, LangChain focuses more on providing modular components, requiring developers to manually assemble long-task handling and memory persistence.
Which AI models does Agentica support?
Agentica supports 20+ models, including mainstream APIs like OpenAI and Anthropic. It also supports model routing and fallback configuration, offering high replaceability.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agentica/raw/index.md to read the original Skill definition (Markdown format) for agentica, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agentica/raw/index.md