Cogency – Cognitive Architecture for AI Agents
Yesterday I built something that probably shouldn’t exist yet. In 9 hours, I created a cognitive architecture demonstrating emergent reasoning. It follows a 5-step loop: Plan → Reason → Act → Reflect → Respond. Adding a WebSearchTool to test extensibility, the agent initially failed its first search, reflected on poor results, adapted its query, and then succeeded. This behavior wasn’t programmed; it emerged naturally from the architecture. Five hours later, I integrated a FileManagerTool — it worked on the first try. Like code compiling first time, except this was intelligence composing…
In plain words
Cogency is a cognitive architecture for building AI agents that separates reasoning from tool management. It operates on a five-step loop—Plan, Reason, Act, Reflect, Respond—enabling agents to adapt their behavior without explicit programming. The system supports extensible tools like web search and file management, automatically composing them together. It is designed for developers building AI agents that need to demonstrate emergent reasoning and adaptability. Cogency is available as a Python package.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Yesterday I built something that probably shouldn’t exist yet. In 9 hours, I created a cognitive architecture demonstrating emergent reasoning. It follows a 5-step loop: Plan → Reason → Act → Reflect → Respond. Adding a WebSearchTool to test extensibility, the agent initially failed its first search, reflected on poor results, adapted its query, and then succeeded. This behavior wasn’t programmed; it emerged naturally from the architecture. Five hours later, I integrated a FileManagerTool — it worked on the first try. Like code compiling first time, except this was intelligence composing zero-config. Key insight: separating cognitive operations from tool orchestration enables true composability. Most frameworks conflate these, resulting in brittle, unpredictable agents. Commit timeline: https://github.com/iteebz/cogency It’s pip-installable (pip install cogency) with production-ready components. Currently dogfooding across projects. Seeking feedback from the community on the approach and implementation.
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