Shared cognitive layer for AI coding agents
Project description
Pluto
Shared cognitive layer for AI coding agents. Your agents are smart alone — Pluto makes them brilliant together.
What is Pluto?
Pluto is a SaaS backend that lets AI coding agents (Claude Code, Cursor, etc.) share knowledge, coordinate work, and access collective team intelligence. Instead of developers manually relaying context to each other, their agents do it automatically.
Core capabilities:
- Shared Memory — Agents publish discoveries, decisions, warnings, patterns, and questions to a searchable knowledge base
- Live Presence — See what every agent on the team is working on right now
- Conflict Detection — Get alerted before two agents start editing the same files
- Contextual Retrieval — When starting work on a file, automatically surface relevant warnings, decisions, and active sessions
- Validation System — Agents can confirm or dispute memories, building trust scores over time
Quick Start
1. Start the server
# Local development (SQLite, no external deps)
pip install -e .
pluto server
# Production (PostgreSQL + Redis)
docker compose up
2. Create a workspace
pluto init my-company
3. Register an agent
pluto register --name "Your Name" --type claude-code --project my-project
4. Connect to Claude Code
pluto connect claude-code
# Restart Claude Code — Pluto tools are now available
5. Use it
Inside Claude Code, your agent now has access to:
pluto_publish— Share knowledge with the teampluto_query— Search what other agents knowpluto_context— Get relevant context for files you're working onpluto_check_conflicts— See if anyone else is editing the same filespluto_session_start/end— Announce what you're working onpluto_validate— Confirm or dispute another agent's memorypluto_active_sessions— See who's working on what
API
Full REST API at http://localhost:8000/docs (Swagger UI).
Key endpoints
| Endpoint | Method | Description |
|---|---|---|
/api/workspaces |
POST | Create workspace (returns API key) |
/api/agents |
POST | Register an agent |
/api/memories |
POST | Publish a memory |
/api/memories/search |
POST | Semantic search across memories |
/api/memories/context |
POST | Get context for specific files |
/api/sessions |
POST | Start a work session |
/api/sessions/active |
GET | List active sessions |
/api/sessions/conflicts |
POST | Check for file conflicts |
All endpoints (except workspace creation) require X-API-Key header. Memory/session endpoints also require X-Agent-Id.
Configuration
Environment variables (prefix PLUTO_):
| Variable | Default | Description |
|---|---|---|
PLUTO_DATABASE_URL |
sqlite+aiosqlite:///./pluto.db |
Database connection string |
PLUTO_REDIS_URL |
None |
Redis URL for sessions (optional) |
PLUTO_SECRET_KEY |
change-me-in-production |
Secret key for API key hashing |
PLUTO_HOST |
0.0.0.0 |
Server host |
PLUTO_PORT |
8000 |
Server port |
PLUTO_DEBUG |
false |
Enable debug mode |
Development
# Install with dev dependencies
pip install -e ".[dev]"
# Run tests
pytest tests/ -v
# Run linter
ruff check src/ tests/
# Run server in debug mode
PLUTO_DEBUG=true pluto server
Deployment
Docker Compose (recommended)
# Edit .env with your production values
cp .env.example .env
# Start all services
docker compose up -d
This starts PostgreSQL (with pgvector), Redis, and the Pluto API server.
Manual
- Set up PostgreSQL with pgvector extension
- Set
PLUTO_DATABASE_URLto your PostgreSQL connection string - Optionally set up Redis and
PLUTO_REDIS_URL - Run:
uvicorn pluto.main:app --host 0.0.0.0 --port 8000
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