L5 Tools and extensions
Self-improvement
Let the agent write its own skills and memories only under a rule, with a change log and a way back.
Why it matters
An agent that improves itself can also teach itself mistakes. A write rule, a log of every change and a rollback keep what it learns reviewable and reversible.
What it takes, by kind of agent
- Conversational assistantOptional
- CodingOptional
- Deep researchOptional
- Browser/GUIOptional
How well it is studied
- Harnesses checked
- 5
- Checked facts behind it
- 67
See the 67 checked facts and how each harness does it
The facts, the code lines they come from and the rules for this topic are in the app. Sign in with Google; new accounts are approved by hand.
Also in L5 Tools and extensions
- Code modeSettled practice
Lets the model write one short program that calls many tools as functions inside a sandbox and returns only the final answer.
- Assistant Optional
- Coding Optional
- Research Not applicable
- Browser Not applicable
- SkillsSettled practice
Keeps a short list of skill names and descriptions in the prompt and loads a skill's full instructions only when the model asks for it.
- Assistant Optional
- Coding Recommended
- Research Not applicable
- Browser Not applicable
- Planning toolsOpen problem
Keeps a checked to-do list the agent cannot lose, and a look-only planning mode that needs the user's yes before any change.
- Assistant Optional
- Coding Must-have
- Research Must-have
- Browser Not applicable
- MCP and authSettled practice
Connects outside tool servers under their own names, loads their tool descriptions only when needed, and keeps their sign-in tokens away from the model and the logs.
- Assistant Must-have
- Coding Optional
- Research Optional
- Browser Optional
- Config and routingSettled practice
Reads settings from several places in one fixed, documented order, and sends each kind of job to the model chosen for it.
- Assistant Must-have
- Coding Must-have
- Research Must-have
- Browser Must-have