An IDE that grounds agents in code context with auto-injected skills and persistent memory.
Product memo
Developers and engineers use Mentum to ground agents in code context. It auto-injects relevant skills based on the active repository and task, ensuring agents operate with current project knowledge. Persistent memory across sessions helps agents retain facts and preferences, while full visibility into agent actions aims to make development more effective.
For who
AI developers and engineers
Solves what
Provides an IDE that grounds AI agents in code context and persistent memory.
- Auto-injected skills
- Persistent agent memory
- Full agent visibility
In their own words
Mentum
An IDE that adapts to the way you build. Skills auto-inject, memory persists, and every agent stays grounded in your actual code.
A workspace built for agents that ship.
Commercial cues
Model
free only
Free tier
Yes
Trial
No
Pricing Strategy
Mentum offers a free tier; paid plan details are not publicly priced.
- • A free tier offers unlimited memory and core features to remove adoption.
- • The free-only model focuses on user acquisition rather than immediate monetization.
- • No paid tiers or upgrades are available, simplifying the onboarding experience.
Operator context
Founded
May 2026
Platform
Web app
Audience
Developers
Public footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About Mentum Expand
Mentum provides an integrated development environment (IDE) specifically for developers and engineers working with agents. It addresses the challenge of keeping agents relevant and effective by grounding them in the actual code context of a project.
The IDE features auto-injected skills, which dynamically provide agents with the necessary capabilities based on the active repository and task. Additionally, Mentum offers persistent agent memory, allowing agents to retain information and preferences across sessions.
This focus on practical grounding and visibility into agent actions aims to make the development of agents more efficient and reliable for its users.