Multi-agent deliberation protocols: brainstorm, review (with --loop convergence), decide, challenge, inspect. Independence before convergence.
You are running the AgentCouncil autopilot pipeline — council-governed autonomous software delivery. You follow proven workflow recipes to plan and build. An independent agent reviews your work at every stage transition. No single agent's judgment goes unchecked.
Run the AgentCouncil deliberation protocol. You (the host agent) act as orchestrator AND lead agent. An independent outside agent provides a second perspective via the AgentCouncil session API. Use when you want genuinely independent perspectives before converging on a decision.
Run the AgentCouncil challenge protocol. You (the host agent) send the plan and defend it. An independent outside agent attacks assumptions and finds failure modes via the AgentCouncil session API. Use when you want adversarial stress-testing before shipping.
Use when AgentCouncil's backend is unconfigured, is using the wrong or an unavailable model/agent, or you want to add or switch a backend or profile — e.g. set up Cursor models, Codex, Claude, Ollama, OpenRouter, or Bedrock, choose the default outside or lead agent, or create/repair .agentcouncil.json.
Run the AgentCouncil decide protocol. You (the host agent) define the decision space and options. An independent outside agent evaluates via the AgentCouncil session API. Use when you have multiple options and need to pick one.
Admin access level
Server config contains admin-level keywords
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Multi-agent deliberation protocols for AI coding assistants.
Newest in 0.6.1: native Cursor plugin support — install AgentCouncil directly from the repo URL in Cursor (0.6.0 added the /configure skill and a self-healing server bootstrap).
AgentCouncil now runs natively in Cursor — alongside Claude Code and Codex — via a Cursor MCP config and generated slash commands. The default outside backend follows the host you run on (Claude Code → Claude, Codex → Codex, Cursor → Cursor), so deliberations work out of the box on every host, and on Cursor you can point the outside agent at any Cursor model (e.g. gpt-5 vs sonnet-4.5).
Underneath that headline feature, AgentCouncil still provides its core multi-agent protocols: /brainstorm, /review, /decide, /challenge, and /inspect. The host agent — Claude Code, Codex, or Cursor — works with an outside agent that stays independent by role, backend, and session. The outside agent defaults to the host you run on (Claude Code → Claude, Codex → Codex, Cursor → Cursor), or you can configure Cursor models, Codex, Ollama, OpenRouter, Bedrock, or Kiro for cross-model diversity. See CURSOR.md for running on Cursor.
This release adds a self-configuration skill and hardens the server bootstrap:
/configure skill: set up AgentCouncil from inside the agent — it reads your current config, detects which backends are available, and writes a valid .agentcouncil.json (profiles + default outside/lead backend) for Cursor models, Codex, Claude, Ollama, OpenRouter, or Bedrock. API keys are never written to the file (api_key_env holds the env var name).scripts/start-server.sh now verifies and repairs a partial/corrupt dependency install instead of crashing the MCP server with No module named 'rich' — fixing intermittent startup failures (notably the first launch inside Cursor).This release brings AgentCouncil to Cursor and makes the default backend host-aware:
.cursor/mcp.json and generated .cursor/commands/*.md slash commands (one per skill), so /brainstorm, /review, /decide, /challenge, /inspect, and /autopilot work inside Cursor. See CURSOR.md.claude, Codex → codex, Cursor → cursor — falling back to claude when no host is identified. Explicit backend=, env vars, and default_profile still win. (Behavior change for Codex hosts — see CHANGELOG.md.)cursor backend runs the cursor-agent CLI; name profiles like cursor-gpt5 / cursor-sonnet to use different Cursor models per deliberation, independent of the editor's model.Lead-agent selection became first-class in MCP/library mode:
brainstorm, review, decide, challenge, review_loop, and protocol_resume accept lead_backend= and lead_model=.lead_backend may be claude, codex, or a named profile backed by one of those native CLI providers. Claude still defaults to opus; Codex uses the Codex CLI default unless configured.backend continues to select the outside agent. Same-backend pairings are allowed with separate sessions and recorded as same_backend_fresh_session.lead_backend/lead_model and use them for real gate execution when AGENTCOUNCIL_AUTOPILOT_GATES=1..codex-plugin/plugin.json and .mcp.json let Codex load AgentCouncil skills and MCP tools directly. Skill wording is host-neutral so Codex and Claude Code can both be the lead in skill mode.The 0.3.x series added the current /autopilot workflow foundation:
npx claudepluginhub kiran-agentic/agentcouncil --plugin agentcouncilMulti-agent deliberation for AI coding assistants
Delegate tasks to Codex, Gemini, and OpenCode AI agents via Owlex MCP
Collect and synthesize opinions from multiple AI Agents for Claude Code
Convene parallel role-specialized peer agents (dynamic roster, plan card first) to debate a cross-domain decision or audit a codebase in real time. Invoking Claude acts as CEO: convenes, routes peer-DMs, arbitrates deadlocks, writes a one-page decision log.
Use when you want a delegated second opinion or implementation from GPT (Codex), Gemini, Grok (xAI), or OpenRouter (config-driven, 400+ models) - seven expert subagents (Architect, Plan Reviewer, Scope Analyst, Code Reviewer, Security Analyst, Researcher, Debugger) and bundled ask-gpt/ask-gemini/ask-grok/ask-openrouter/ask-all/consensus commands, advisory (read-only) or implementation (write; Grok and OpenRouter are advisory-only).
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex and gemini CLIs when installed) to get diverse perspectives on coding problems