MindSync AI

Local-first MCP orchestration, persistent shared memory, and automatic task routing for coding agents.

🌐 adityarya24.github.io/mindsync-ai

💡 What is MindSync?

MindSync connects disparate AI coding agents (Codex, Claude Code, Gemini CLI, Antigravity, Grok, Cursor, OpenCode, Aider) into a single, coordinated local ecosystem without requiring a cloud SaaS account or third-party servers.

The human-facing CLI session you are talking to remains in charge as the orchestrator. MindSync routes subtasks by domain capability, enforces file locks to prevent multi-agent collisions, tracks rate limits for seamless quota handoff across providers, and preserves long-term factual memory across sessions.

                    ┌────────────────────────┐
                    │   You (Human Prompt)   │
                    └───────────┬────────────┘
                                │
                                ▼
         ┌────────────────────────────────────────────────┐
         │     Human-Facing CLI Session (Orchestrator)    │
         │  (e.g., Codex / Claude / Gemini / Grok / ...)   │
         └──────────────────────┬─────────────────────────┘
                                │ (MCP Protocol)
                                ▼
  ┌─────────────────────────────────────────────────────────────┐
  │                        MINDSYNC CORE                        │
  │  ┌───────────────────────┬───────────────────────────────┐  │
  │  │  Capability Router    │  Conflict Prevention Shield   │  │
  │  ├───────────────────────┼───────────────────────────────┤  │
  │  │  Quota & Handoff Tier │  Vector Memory (`sqlite-vec`) │  │
  │  └───────────────────────┴───────────────────────────────┘  │
  └─────────────────────────────┬───────────────────────────────┘
                                │ (Isolated Worktrees)
         ┌──────────────────────┼──────────────────────┐
         ▼                      ▼                      ▼
┌──────────────────┐  ┌──────────────────┐  ┌──────────────────┐
│   Codex Worker   │  │  Claude Worker   │  │  Gemini / Grok   │
│  (Implementation)│  │ (Deep Reasoning) │  │ (Audit & Search) │
└──────────────────┘  └──────────────────┘  └──────────────────┘

Key Guarantee: Dispatched workers receive bounded tasks inside isolated Git worktrees and cannot recursively re-delegate through MindSync.

⚡ Quick Start

1. Installation

pip install mindsync-ai

(Requires Python 3.10+)

2. Automated Auto-Discovery & Setup

# Auto-detects installed MCP hosts and PATH coding CLIs
mindsync setup --mode auto

# Verify system health, lock engines, and adapter status
mindsync doctor

# Inspect available agent roster and capabilities
mindsync agents

Restart your CLI sessions after setup to load the registered MCP servers.

# Additional setup options
mindsync setup --dry-run          # Preview changes without modifying host configs
mindsync setup --cli grok         # Target a specific host only
mindsync setup --no-discover      # Register hosts without PATH CLI scanning
mindsync setup --no-hooks         # Skip Codex standalone hooks

🤖 Supported Clients & Roster

A CLI may act as an MCP Host (orchestrator), a Worker (dispatched execution), or both:

ℹ️ Family Isolation: Gemini CLI and agy share the gemini-antigravity family. When either is the human-facing orchestrator, both are excluded from automatic worker selection to protect orchestrator bandwidth.

🎯 Orchestration & Capability Dispatch

Policy configuration is located at ~/.mindsync/orchestration.json (Modes: auto, suggest, off).

Run Dispatched Jobs

# Route task automatically to best suited agent by capability
mindsync-dispatch run auto "implement and test the auth fix" --capability coding

# Check status of running or completed jobs
mindsync-dispatch status

Automatic Provider Quota Handoff

MindSync prevents blocked workflows when an LLM provider's quota exhausts mid-task. When enabled with an isolated worktree, MindSync transfers the working state, task prompt, and latest checkpoint to a ranked successor agent:

# Run with worktree isolation and automatic quota handoff
mindsync-dispatch run auto "refactor database schema" --write --worktree --on-limit handoff

# Inspect provider and account cooldowns
mindsync-dispatch limits

# Clear cooldowns manually after operator verification
mindsync-dispatch limits clear

Pre-emptive Usage Evaluation

MindSync includes pluggable usage readers. For example, the bundled Codex OAuth Reader (codex-oauth) reads local OAuth tokens from ~/.codex/auth.json and evaluates primary and weekly usage windows before spawning tasks.

{
  "usage": {
    "enabled": false,
    "defaultThresholdPercent": 90,
    "orchestratorReservePercent": 80,
    "pollingIntervalSeconds": 60
  }
}

• defaultThresholdPercent: Dispatched worker handoff threshold.
• orchestratorReservePercent: Threshold for warning the operator before starting large runs.
• If a provider reaches threshold and a MindSync checkpoint exists, dispatch safely transfers the worktree diff to the successor agent.

Automated Pull Request Workflow

Configure MindSync to automatically publish branches and open PRs upon successful task completion:

# Enable PR creation upon successful completion for current repository
mindsync config onComplete pr --project .

(MindSync never auto-merges PRs and strictly declines to publish if checks fail or if secrets/sensitive tokens are detected in diffs).

🧠 Persistent Memory & Shared Facts

MindSync embeds a lightweight, local vector and relational database powered by sqlite-vec for cross-session knowledge retention:

# View memory database statistics
mindsync memory stats

# List recorded facts for a specific repository
mindsync memory list --project my-repo

# Semantic search across historical decisions and architecture facts
mindsync memory recall --project my-repo --query "database migration decision"

MCP Tool Bundles

• Orchestrator Hosts (16 Tools): Exposes full orchestration (delegate_task, route_task, get_sync_context, update_focus, memory_checkpoint, memory_recall, queue_durable_fact, etc.).
• Dispatched Workers (12 Tools): Runs with MINDSYNC_WORKER=1, omitting recursive delegation tools while retaining shared context, focus locks, and fact retrieval.

🔒 Safety & Security Architecture

1. Human-in-the-Loop Authority: The human-facing orchestrator CLI always retains final approval and verification.
2. Explicit Binary Execution: mindsync setup only configures known recipes. Unknown binaries are suggested, never executed blindly.
3. Crash-Safe Locking: State updates use atomic writes and file locks. On Windows, lock contention timeouts are configurable via environment variables.
4. Secret-Safe Serialization: Job status, telemetry, and handoff payloads strictly strip access tokens, auth headers, and raw credential structures before logging.

⚙️ Advanced Configuration & Environment Variables

🛠️ Development & Testing

# 1. Clone repository
git clone https://github.com/adityarya24/mindsync-ai.git
cd mindsync-ai

# 2. Set up virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# 3. Install in editable mode with development dependencies
python -m pip install -e ".[dev]"

# 4. Run linter & test suite
python -m ruff check .
python -m pytest -q

📄 License

Distributed under the MIT License. Open-source and free for personal and commercial use.