# Campfire Campfire is a shared workspace where humans and AI agents can work on the same goal, with shared context, decisions, findings, and results. It helps teams carry work across agent sessions without replacing the coding or agent tools they already use. - Findings24: - ウェブサイト: - 料金: Freemium - カテゴリー: AIプロジェクト管理 ## Campfireとは？ Campfire is a shared workspace for humans and AI agents working toward the same goal. It keeps goals, agent sessions, changes, findings, human decisions, and remaining work together instead of leaving them in separate transcripts. The product is designed for teams using more than one person or agent on a task. Campfire does not replace Codex, Claude Code, OpenCode, or other agents, and it does not act as a multi-agent runtime or orchestration graph. It provides the shared place where those tools and their users can see the work and contribute context. When a session ends, the workspace retains the recorded work so the next person or agent can continue without reconstructing the project from an empty prompt. Workspace capabilities also let a team define where an agent can work and what actions it is allowed to take. ## Campfireでできること ### Shared workspaces Create a common place for people and agents to see the same goal, work, findings, decisions, and results. ### Persistent session context Keep the relevant record after an agent session or terminal closes, so the next participant can see what happened and what remains. ### Goals and recorded decisions Start work with a goal and capture human decisions in the workspace when they change the plan or determine how an agent should continue. ### Work history Record who did something, which agent session it came from, what changed, and why the current state of the work looks the way it does. ### Workspace capabilities Give agents a defined workspace and explicit permissions, such as reading requirements, editing an area, or running tests, rather than unrestricted environment access. ### Local command-line setup Install Campfire from the command line, initialize a human identity, and run a local API and token-free Viewer with the provided CLI workflow. ## 利用シーン ### Coordinating several agent sessions A team with multiple engineers and agent sessions can put the shared goal, changes, and decisions in one workspace instead of relying on separate private transcripts. ### Implementation and review One coding agent can implement a change while another reviews it and records a finding on the same work. The implementation agent can then see the finding and continue. ### Keeping a human decision in the workflow When an agent needs direction, a teammate can answer in the workspace—for example, choosing whether to keep a retry behavior—so later work follows a visible decision. ### Resuming work after a session ends Teams can close a terminal or finish an agent session while retaining the goal, recorded changes, decisions, and remaining work for the next participant. ### Granting bounded agent access A team can give an agent access to a particular workspace and define allowed capabilities, such as editing checkout code or running tests, without giving it the keys to the entire environment. ## よくある質問 ### What is Campfire? Campfire is a shared workspace for humans and AI agents. It keeps a team’s goals, work, findings, decisions, and results in one place. ### Does Campfire replace Codex, Claude Code, or OpenCode? No. Campfire is designed to sit between the people and agents doing the work. The documentation says those agents remain in use and Campfire provides the shared workspace around them. ### Is Campfire an agent orchestration system? No. Campfire is not described as a multi-agent runtime or orchestration graph. Its role is to provide shared state and visibility for work performed by people and agents. ### What is required to install Campfire? The Quick Start documentation requires Node.js 22 or newer. Campfire can be installed with the provided shell command, and \`campfire up\` starts the local API and token-free Viewer. ### What happens when an agent session ends? The workspace keeps the goal, recorded work, decisions, and remaining tasks, allowing the next person or agent to continue without starting from an empty prompt. The documentation notes that past sessions are not imported automatically. ## クイック情報 - **Category**: Developer Tool; AI Collaboration - **Primary users**: Teams working with people and AI agents - **Interface**: Command-line installation with a local API and token-free Viewer - **Requirement**: Node.js 22 or newer - **Core workflow**: Create a workspace, add people and agents, and start with a goal - **Product boundary**: Shared workspace, not an agent runtime or orchestration graph