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Capacitor
Shared memory for coding agents
Agents code fast. Capacitor helps your team understand them just as fast. It's a shared session layer for coding agents: hand off sessions from Claude Code to Codex, learn from past mistakes with an eval loop, review PRs with the agent's reasoning, not just the diff through a dashboard, CLI, and MCP tools your agents query directly.
Hi I am Lokhesh and I am part of the Product and AI team at Kurrent.io and I would like to introduce https://capacitor.kurrent.io/
Capacitor records every coding agent session automatically. No separate record commands. No configuration per session. Every turn, tool call, test run, and reasoning block is streamed to the team’s Capacitor server in real time, indexed for full-text search, and linked to the repository and pull request it belongs to. One simple setup, and your agents have memory.
Six core capabilities are available:
Collaboration - Developers share live session links via tools like Slack. A teammate opens the link, reviews the spec or reasoning in progress, and contributes directly without reconstructing context from message fragments.
Multi-agent handoffs - Capacitor enables real-time coordination across multiple agents working in parallel or in sequence handing off, handing back, and continuing work fluidly as the task evolves. Any agent can pick up exactly where another left off, with full context of what was done, what was decided, and what was already tried. Switch models mid-task, run agents in parallel on different workstreams, or bring in a second agent when the first hits a wall Capacitor keeps the entire team, human and agent, in sync.
PR review with session context - Review agents can pull the sessions behind a pull request at review time, giving reviewers and their agents access to the tests, attempts, and reasoning that produced the final diff. Changes become immediately explainable. Evaluations and institutional learning. Capacitor scores sessions against team-defined rubrics correctness, test fidelity, surface area, time on task and promotes durable findings into per-repository guidelines. Those guidelines are automatically loaded at the start of the next agent session, so lessons from one session become guardrails and best practices for every session that follows.
Multi-player sessions - Capacitor turns solo agent sessions into team sessions. Launch any agent from the dashboard, share the link, and your whole team is in driving, contributing, and building together in real time from any browser.
Active session memory - Humans and agents can search the team’s full session history through built-in MCP tools. When a developer asks “have we worked on this before?” the agent searches, summarizes, and drills into the exact point where the relevant decision was made surfacing prior context in the current chat instead of reopening closed questions.
This is a private preview so you will need to join waiting list.
Thanks, let me know what you think!
About Capacitor on Product Hunt
“Shared memory for coding agents”
Capacitor was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #113 on the daily leaderboard. Agents code fast. Capacitor helps your team understand them just as fast. It's a shared session layer for coding agents: hand off sessions from Claude Code to Codex, learn from past mistakes with an eval loop, review PRs with the agent's reasoning, not just the diff through a dashboard, CLI, and MCP tools your agents query directly.
On the analytics side, Capacitor competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Capacitor performed against the three products that launched closest to it on the same day.
Who hunted Capacitor?
Capacitor was hunted by Lokhesh Ujhoodha. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Capacitor including community comment highlights and product details, visit the product overview.
Lokhesh Ujhoodha
Hi I am Lokhesh and I am part of the Product and AI team at Kurrent.io and I would like to introduce https://capacitor.kurrent.io/
Capacitor records every coding agent session automatically. No separate record commands. No configuration per session. Every turn, tool call, test run, and reasoning block is streamed to the team’s Capacitor server in real time, indexed for full-text search, and linked to the repository and pull request it belongs to. One simple setup, and your agents have memory.
Six core capabilities are available:
Collaboration - Developers share live session links via tools like Slack. A teammate opens the link, reviews the spec or reasoning in progress, and contributes directly without reconstructing context from message fragments.
Multi-agent handoffs - Capacitor enables real-time coordination across multiple agents working in parallel or in sequence handing off, handing back, and continuing work fluidly as the task evolves. Any agent can pick up exactly where another left off, with full context of what was done, what was decided, and what was already tried. Switch models mid-task, run agents in parallel on different workstreams, or bring in a second agent when the first hits a wall Capacitor keeps the entire team, human and agent, in sync.
PR review with session context - Review agents can pull the sessions behind a pull request at review time, giving reviewers and their agents access to the tests, attempts, and reasoning that produced the final diff. Changes become immediately explainable.
Evaluations and institutional learning. Capacitor scores sessions against team-defined rubrics correctness, test fidelity, surface area, time on task and promotes durable findings into per-repository guidelines. Those guidelines are automatically loaded at the start of the next agent session, so lessons from one session become guardrails and best practices for every session that follows.
Multi-player sessions - Capacitor turns solo agent sessions into team sessions. Launch any agent from the dashboard, share the link, and your whole team is in driving, contributing, and building together in real time from any browser.
Active session memory - Humans and agents can search the team’s full session history through built-in MCP tools. When a developer asks “have we worked on this before?” the agent searches, summarizes, and drills into the exact point where the relevant decision was made surfacing prior context in the current chat instead of reopening closed questions.
This is a private preview so you will need to join waiting list.
Thanks, let me know what you think!