🧠
Reason
Explore agent loops that break goals into steps and select the right actions.
EARLY-STAGE AI PROJECT
Turn goals into
intelligent actions.
An experimental AI Agent platform exploring how LLMs, tools, context, and multi-step reasoning can work together to accomplish useful tasks.
🔧
Use tools
Connect agents to functions, APIs, and external tools to move beyond chat.
⚡
Execute
Build multi-step workflows that turn natural-language goals into actions.
THE IDEA
From conversation to execution.
Traditional chat interfaces are great at generating information. Agentic systems aim to go one step further: understand a goal, plan a sequence, use the available tools, observe results, and continue until the task is complete.
01
Goal
Goal
02
Plan
Plan
03
Tools
Tools
04
Observe
Observe
05
Execute
Execute
ROADMAP
Building step by step.
01
Core agent loopReasoning and task planning foundation
02
Tool callingFunctions and external APIs
03
Memory & contextUseful short- and long-term context
04
EvaluationReliability, observability and testing
Interested in the build?
Follow the project as the prototype evolves.
Explore the repository ↗