Capacitor
What is Capacitor?
Capacitor is a new platform created by Kurrent to help humans and coding agents work together better. It solves a big problem in software development where AI coding tools often forget important details when a session ends. Capacitor acts as a shared memory for teams, keeping track of every step, decision, and conversation so that no context is ever lost. It is currently available for use with popular coding agents like Claude Code, Codex, and Cursor.
Benefits
Capacitor offers several key advantages for development teams:
- Faster Shipping: Teams can move projects forward quickly because coordination overhead disappears. Reviews are based on real data, handoffs happen instantly, and reasoning is never lost.
- Smarter Agents: The platform learns from past sessions. Findings from previous work automatically improve future performance, meaning agents get smarter over time without needing to change the underlying model.
- Reliable Code Reviews: Reviewers get access to the actual reasoning behind code changes instead of guessing. This stops confident but wrong feedback from blocking good changes or approving bad ones.
- Freedom of Choice: Capacitor works with multiple coding agents using the same format. Teams are not locked into one vendor and can switch tools as needed without losing their history.
- Shared Knowledge: Work done by one developer becomes available to the whole team immediately. Everyone can search past sessions and contribute to ongoing projects.
Use Cases
Capacitor can be used in many situations where teams need to collaborate on code:
- Team Collaboration: Developers can share live session links via tools like Slack. Teammates can review what is happening in real time and contribute without having to rebuild the context from scratch.
- Multi-Agent Handoffs: The platform allows multiple agents to work together. One agent can pick up exactly where another left off, keeping full context of what was done and decided. Teams can even switch AI models mid-task without losing sync.
- Pull Request Reviews: Review agents can pull the sessions behind a pull request. This gives reviewers access to the tests and reasoning that produced the final code, making reviews reliable and explainable.
- Multi-Player Sessions: Solo agent sessions can turn into team sessions. Users can launch an agent from a dashboard and have their entire team drive and build together in real time from any browser.
- Active Memory Search: Humans and agents can search the full history of team sessions. When a developer asks if a topic was worked on before, the agent searches, summarizes, and finds the exact point where a decision was made.
Pricing
Kurrent Capacitor is currently available in private preview. It is free to use and simple to deploy. Teams can request access immediately to start using the platform with their preferred coding agents.
Vibes
Early feedback from the engineering team at Kurrent highlights the impact of the tool. Alexey Zimarev, VP of Engineering, noted that his team was losing critical context every time a session closed with previous tools. He stated that capturing sessions in KurrentDB changed everything for them. Kirk Dunn, CEO at Kurrent, added that agents have made software development much faster while leaving the team coordination layer untouched. He described Capacitor as the solution that provides interaction between teams of agents and humans in real time.
Additional Information
Capacitor is built on KurrentDB, an event-native platform that captures and streams real-time data with full historical context. This foundation makes the platform vendor-neutral by design. Kurrent is headquartered in San Francisco and its technology is deployed in mission-critical use cases across industries like finance, tech, oil and gas, manufacturing, retail, healthcare, automotive, and government. The company offers its solutions on AWS, Microsoft Azure, and Google Cloud Platform, as well as an on-premises option.
This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.
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