Wassette: A security-oriented runtime that runs WebAssembly Components via MCP.
Key parameters and specifications
Key parameters and specifications
Parameter
Value
Language
Python
Category
AI Engineering
Subcategory
Prompt & Scaffold, Build agent workflow (SDK)
Stars
970
Forks
148
Contributors
3
Created date
2024-08-04
Updated date
2026-10-06
Stars in 1 day
0
Stars in 7 days
0
Rank
12,315
Previous rank
12,240
Rank change
-75
7-day stars rank
13,361
Previous 7-day stars rank
13,371
7-day stars rank change
10
Total stars rank
11,409
Previous total stars rank
11,394
Total stars rank change
-15
Country
UAE
README summary
AgentK is a self-evolving AGI made of agents that collaborate, and build new agents as needed, in order to complete tasks for a user. Trace for above demo: Agent K is a modular, self-evolving AGI system that gradually builds its own mind as you challenge it to complete tasks. The "K" stands kernel, meaning small core. The aim is for AgentK to be the minimum set of agents and tools necessary for it to bootstrap itself and then
grow its own mind. Agents who collaborate to solve problems, and; 2. Tools which those agents are able to use to interact with the outside world. It develops both of these as regular python files (in the and directories) so it's very easy to track its progress, and even contribute yourself if you want. The agents that make up the kernel **Hermes**: The orchestrator that interacts with humans to understand goals, manage the creation and assignment of tasks, and coordinate
the activities of other agents. **AgentSmith**: The architect responsible for creating and maintaining other agents. AgentSmith ensures agents are equipped with the necessary tools and tests their functionality. **ToolMaker**: The developer of tools within the system, ToolMaker creates and refines the tools that agents need to perform their tasks, ensuring that the system remains flexible and well-equipped. **WebResearcher**: The knowledge gatherer, WebResearcher performs in-depth online research to provide the system with up-to-date information, allowing agents to
make informed decisions and execute tasks effectively. Internals AgentK is encouraged to write tests for itself. More can be done to aid with the detection and fixing of missbehaving agents and tools - this is work in progress. AgentK is built on top of the excellent LangGraph and LangChain frameworks. How to run AgentK runs isolated in a docker container, so you need the latest docker installed on your system.
Frequently asked questions
How many stars and forks are recorded?
mikekelly/AgentK has 970 stars and 148 forks.
What is the repository rank?
mikekelly/AgentK is ranked 12,315.
What language and category are recorded?
mikekelly/AgentK has 970 stars, uses Python and belongs to AI Engineering.
Which repository is closest in rank?
mikekelly/AgentK is compared with Saik0s/mcp-browser-use, ranked 12,310 with 971 stars.
README
Agent K
The autoagentic AGI. AgentK is a self-evolving AGI made of agents that collaborate, and build new agents as needed, in order to complete tasks for a user.
Agent K is a modular, self-evolving AGI system that gradually builds its own mind as you challenge it to complete tasks.
The "K" stands kernel, meaning small core. The aim is for AgentK to be the minimum set of agents and tools necessary for it to bootstrap itself and then grow its own mind.
AgentK's mind is made up of:
Agents who collaborate to solve problems, and;
Tools which those agents are able to use to interact with the outside world.
It develops both of these as regular python files (in the agents and tools directories) so it's very easy to track its progress, and even contribute yourself if you want.
The agents that make up the kernel
Hermes: The orchestrator that interacts with humans to understand goals, manage the creation and assignment of tasks, and coordinate the activities of other agents.
AgentSmith: The architect responsible for creating and maintaining other agents. AgentSmith ensures agents are equipped with the necessary tools and tests their functionality.
ToolMaker: The developer of tools within the system, ToolMaker creates and refines the tools that agents need to perform their tasks, ensuring that the system remains flexible and well-equipped.
WebResearcher: The knowledge gatherer, WebResearcher performs in-depth online research to provide the system with up-to-date information, allowing agents to make informed decisions and execute tasks effectively.
Internals
AgentK is encouraged to write tests for itself. More can be done to aid with the detection and fixing of missbehaving agents and tools - this is work in progress.
AgentK is built on top of the excellent LangGraph and LangChain frameworks.
How to run
AgentK runs isolated in a docker container, so you need the latest docker installed on your system.