SyncContext

Shared team memory for AI coding agents. Sync context, decisions, and knowledge across your entire team via the Model Context Protocol.

[](LICENSE) [](https://python.org) [](https://modelcontextprotocol.io/)

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AI coding agents (Claude Code, Cursor, Windsurf) each maintain isolated context. Developer A's agent knows nothing about Developer B's decisions. This leads to:

• Conflicting architecture decisions across team members
• Repeated mistakes and lost institutional knowledge
• Painful onboarding for new developers
• No shared understanding between frontend, backend, and infra

SyncContext provides a shared semantic memory layer that connects your team's AI agents. One token, one shared brain, unlimited team members.

Developer A (Frontend) ──► saves: "Button uses Tailwind, prop X is required"
Developer B (Backend)  ──► searches: "frontend patterns" ──► gets full context
Developer C (New hire) ──► runs: get_project_context ──► instant onboarding

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git clone https://github.com/infinity-ai-dev/SyncContext.git
cd SyncContext
cp .env.example .env
# Edit .env: set SYNCCONTEXT_PROJECT_TOKEN and SYNCCONTEXT_GEMINI_API_KEY

docker compose up -d

# Requires PostgreSQL 15+ with pgvector extension
cp .env.example .env
# Edit .env with your settings

uv sync
uv run synccontext

# Set SYNCCONTEXT_VECTOR_STORE=redis in your .env, then:
docker compose --profile redis up -d

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Add to your project's .mcp.json:

{
  "mcpServers": {
    "synccontext": {
      "command":