opencode-sessions

OpenCode Sessions

Multi-agent collaboration and workflow orchestration for OpenCode

Enable turn-based agent collaboration, clean phase transitions, manual compression control, and parallel exploration—all through a single elegant tool.

The Four Pillars

🤝 COLLABORATE — Turn-Based Agent Discussion

Agents work together in the same conversation, passing the torch back and forth. Perfect for complex problems requiring multiple perspectives.

session({
  mode: "message",
  agent: "plan",
  text: "Should we use microservices here?",
})
// Plan agent reviews architecture and responds
// Can pass back to build agent for implementation

sequenceDiagram
    participant Build as Build Agent
    participant User as Session
    participant Plan as Plan Agent

    Build->>User: "Implemented feature X"
    Note over Build: Tool: session(mode: "message", agent: "plan")
    Build->>Build: Finishes turn
    User->>Plan: "Implemented feature X"
    Plan->>User: "Let me review that..."
    Note over Plan: Reviews and provides feedback
    Plan->>Build: Passes back via session tool

Use Cases:

• Complex problem-solving requiring multiple viewpoints
• Code review workflows (build → plan → build)
• Architecture discussions (plan ↔ researcher)
• Iterative refinement across agents

🎯 HANDOFF — Clean Phase Transitions

Complete one work phase, hand off to another agent with a fresh slate. No context baggage from previous work.

session({
  mode: "new",
  agent: "researcher",
  text: "Research API design best practices for 2025",
})
// Fresh session, clean context
// Previous implementation details don't influence research

graph LR
    A[Research Phase] -->|Clean Handoff| B[Planning Phase]
    B -->|Clean Handoff| C[Implementation Phase]
    C -->|Clean Handoff| D[Validation Phase]

Use Cases:

• Research → Planning → Implementation → Validation workflows
• Preventing context bleed between phases
• Starting unrelated tasks
• Running slash commands in clean context

🗜️ COMPRESS — Manual Compression with Messaging

Trigger compaction when needed, include a message, and optionally hand off to a different agent. Maintain long conversations without token limits.

session({
  mode: "compact",
  agent: "plan",
  text: "Continue architecture review",
})
// Compacts history, injects handoff context, plan agent responds

sequenceDiagram
    participant Build as Build Agent
    participant Session as Session
    participant Plan as Plan Agent

    Note over Build: Long conversation...
    Build->>Session: Tool: session(mode: "compact", agent: "plan")
    Session->>Session: Inject: "[Compacting - plan will respond]"
    Session->>Session: Compress history
    Session->>Session: Wait for idle
    Session->>Plan: "Continue architecture review"
    Plan->>Session: Reviews compacted context and responds

What survives compaction:

• ✅ Handoff context message: [Compacting session - plan agent will respond after completion]
• ✅ Your actual message
• ✅ Compacted summary of previous work

Use Cases:

• Long conversations approaching token limits
• Preserving context while freeing memory
• Handing off with compression
• Continuing work without losing essential history

🔀 PARALLELIZE — Explore Multiple Approaches

Branch into independent sessions to try different solutions. Full primary agent capabilities in each fork.

// Try approach A
session({
  mode: "fork",
  agent: "build",
  text: "Implement using Redux",
})

// Try approach B
session({
  mode: "fork",
  agent: "build",
  text: "Implement using Context API",
})

// Compare results, pick the best

graph TD
    A[Main Session] -->|Fork| B[Approach A: Redux]
    A -->|Fork| C[Approach B: Context API]
    A -->|Fork| D[Approach C: Zustand]

    B --> E[Compare Results]
    C --> E
    D --> E

Use Cases:

• Exploring alternative solutions
• Comparing different approaches
• "What if" scenario analysis
• Risk-free experimentation with full agent capabilities

Installation

Requirements: OpenCode ≥ 0.15.18

Add to your opencode.json or ~/.config/opencode/opencode.json:

{
  "plugin": ["opencode-sessions"]
}

OpenCode auto-installs plugins on startup.

Version Pinning

Pin to a specific version:

{
  "plugin": ["opencode-sessions@x.y.z"]
}

Updates

Check installed version:

cat ~/.cache/opencode/node_modules/opencode-sessions/package.json | grep version

Force update to latest:

rm -rf ~/.cache/opencode && opencode

Usage

Basic Syntax

session({
  text: string,      // Required - message to send
  mode: string,      // Required - "message" | "new" | "compact" | "fork"
  agent?: string     // Optional - target agent name
})

Available Agents

The plugin automatically discovers your configured agents:

// Built-in agents (always available):
- build -      // Full development capabilities with all tools
- plan -       // Analysis and planning (read-only tools)
// Plus any custom agents from your configuration
- researcher - // Research and investigation
- implement -  // Implementation-focused

Use Tab in OpenCode to see all available agents.

Real-World Examples

Example 1: Code Review Workflow

// Build agent implements
session({
  mode: "message",
  agent: "build",
  text: "Implemented the user authentication system",
})

// Build passes to plan for review
session({
  mode: "message",
  agent: "plan",
  text: "Review the authentication implementation for security issues",
})

// Plan provides feedback, passes back to build
session({
  mode: "message",
  agent: "build",
  text: "Address the CSRF vulnerability mentioned above",
})

Example 2: Research → Plan → Implement Pipeline

// Phase 1: Research (clean start)
session({
  mode: "new",
  agent: "researcher",
  text: "Research best practices for API rate limiting in 2025",
})

// Phase 2: Planning (clean handoff)
session({
  mode: "new",
  agent: "plan",
  text: "Design a rate limiting system based on the research",
})

// Phase 3: Implementation (clean handoff)
session({
  mode: "new",
  agent: "build",
  text: "Implement the rate limiting system per the plan",
})

Example 3: Long Conversation with Compression

// After extensive back-and-forth implementation discussion...

// Compress and hand off to plan for architectural review
session({
  mode: "compact",
  agent: "plan",
  text: "Review the overall architecture we've built so far",
})

// Plan sees:
// [Compacted history of implementation]
// User: [Compacting session - plan agent will respond after completion]
// User: Review the overall architecture we've built so far

Example 4: Parallel Approach Exploration

// Current session: discussing database choice

// Fork A: Try PostgreSQL approach
session({
  mode: "fork",
  agent: "build",
  text: "Implement data layer using PostgreSQL with Prisma",
})

// Fork B: Try MongoDB approach
session({
  mode: "fork",
  agent: "build",
  text: "Implement data layer using MongoDB with Mongoose",
})

// Fork C: Try serverless approach
session({
  mode: "fork",
  agent: "build",
  text: "Implement data layer using DynamoDB",
})

// Each fork explores independently with full context
// Compare results using <leader>l to switch between sessions

How It Works

The Agent Relay Pattern

When you call the session tool with mode: "message" or mode: "compact":

• Tool stores your message in a pending queue
• Current agent finishes its turn naturally
• session.idle event fires after the session unlocks
• Plugin sends the queued message to the target agent
• Target agent receives the message as a USER message
• Target agent responds in the same conversation

This pattern ensures:

• ✅ No deadlocks (tool returns immediately)
• ✅ Agent parameter preserved (sent after unlock)
• ✅ Clean turn-taking (one agent at a time)
• ✅ Full context visibility (same conversation)

Why Turn-Based?

Agents don't interrupt each other. Each agent gets a complete turn to:

• See the full conversation history
• Make tool calls and get results
• Formulate a complete response
• Optionally pass to another agent

This creates structured collaboration rather than chaotic multi-agent interference.

API Reference

Tool: session

Arguments:

Argument	Type	Required	Description
text	string	✅ Yes	Message to send
mode	enum	✅ Yes	Operation mode: "message" | "new" | "compact" | "fork"
agent	string	❌ No	Target agent name (defaults to current agent)

Returns: Status message describing the operation

Mode Details:

Mode	Creates New Session	Agent Switching	Context Preserved	Use Case
message	No	Yes	Yes	Agent collaboration
new	Yes	Yes	No	Phase transitions
compact	No	Yes	Compressed	Token optimization
fork	Yes (child)	Yes	Yes	Parallel exploration

Troubleshooting

Tool not appearing?

• Verify OpenCode version ≥ 0.15.18
• Check plugin installed: ls ~/.cache/opencode/node_modules/opencode-sessions
• Restart OpenCode after installation

Agent switching not working?

• Verify agent name exists (use Tab to see available agents)
• Check for typos (agent names are case-sensitive)
• Ensure OpenCode SDK is up to date

Session operations failing?

• Check error notifications in OpenCode TUI
• Verify you're in an active session

Contributing

Contributions welcome! See CONTRIBUTING.md for guidelines.

License

MIT - see LICENSE

Learn More

• OpenCode Documentation
• Plugin API Reference

Not affiliated with Anthropic or OpenCode.
This is an independent open-source project.

Made with ❤️ for the OpenCode community