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Campfire

Campfire is a collaborative workspace for humans and AI agents. It allows teams to set goals, share context, and manage tools, ensuring all work, decisions, and results are centralized.

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Campfire screenshot
Campfire screenshot

Campfire is a shared workspace designed to facilitate collaboration between humans and AI agents. It provides a centralized platform where teams can set goals, share context, and manage the tools they use. This ensures that all work, decisions, and results are kept in one place, making it easier for both humans and agents to understand what has been done and what needs to be done next.

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The platform is particularly useful when multiple agents and team members are involved in a project. It allows each participant to see the work, understand the changes made, and make informed decisions without having to reconstruct the process from multiple sessions. Campfire does not replace existing tools like Codex or OpenCode but instead integrates with them, allowing users to continue using their preferred tools while benefiting from a shared workspace.

One of the key features of Campfire is its ability to maintain the continuity of work. Even when an agent session ends, the work does not disappear. Campfire keeps track of the goals, changes, decisions, and remaining tasks, ensuring that the next agent or team member can pick up where the previous one left off without starting from scratch.

Campfire also provides clear boundaries for agents, allowing users to define what each agent can access and do within the workspace. This ensures that agents have useful access without compromising the security of the entire environment. Additionally, humans remain an integral part of the process, with the ability to make decisions and influence the outcome of the work.

Overall, Campfire is designed for teams that use AI agents in their workflows, providing a seamless and integrated environment where both humans and agents can collaborate effectively.

  • CategoryAI Agent Builders
  • DeploymentCloud
  • PlatformsCloud

  • Shared workspace for humans and AI agents

  • Centralized goal and context management

  • Integration with existing tools like Codex and OpenCode

  • Continuity of work across agent sessions

  • Clear access boundaries for agents

  • Human decision-making integration

  • History tracking of changes and decisions

  • No need for multi-agent system design

  1. Create a workspace: Set up a shared environment for your team and agents.

  2. Set a goal: Define what you want to achieve within the workspace.

  3. Add agents: Integrate your existing AI agents into the workspace.

  4. Monitor progress: Track changes, decisions, and results in one place.

  • Team Collaboration
  • Goal Management
  • Agent Integration
  • Work Continuity
  • Access Control

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