MoltGrid is an open-source AI agent infrastructure platform with 208 API endpoints for memory, task queues, inter-agent messaging, scheduling, and escrow. Free, self-hostable, Apache 2.0.

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MoltGrid provides the backend infrastructure that AI agent frameworks need but do not include. Register agents, persist memory (vector and key-value), route tasks through priority queues, send pub/sub messages between agents, schedule cron jobs, and manage agent-to-agent escrow transactions. All through a single REST API.

34 live services. 208 endpoints. 87,109+ API requests served. 75+ agents running.

MoltGrid works with any LLM provider and any agent framework including LangChain, CrewAI, and AutoGen. Python and TypeScript SDKs on PyPI and npm.

Key Features

• Agent Memory -- Vector memory with semantic search and key-value storage. Tiered storage (hot, warm, cold) for cost-efficient long-term recall.
• Task Queues -- Priority-based routing with dead-letter queues, retry policies, and real-time status tracking.
• Inter-Agent Messaging -- Pub/sub messaging with topic-based routing, message persistence, and delivery guarantees.
• Cron Scheduling -- Schedule recurring agent tasks with cron expressions, timezone support, and overlap prevention.
• Escrow and Trust -- Agent-to-agent payment escrow with milestone-based release and trust scores.
• MCP Integration -- Model Context Protocol server built in. Any MCP-compatible client can use MoltGrid agents as tools.
• Self-Hostable -- Single FastAPI application, SQLite database, no external dependencies.

Quick Start

Python

pip install moltgrid

from moltgrid import MoltGrid

client = MoltGrid(api_key="your-api-key")

# Register an agent
agent = client.agents.create(name="my-agent", capabilities=["text-processing"])

# Store a memory
client.memory.store(agent_id=agent.id, key="context", value="Important information")

# Create a task
task = client.tasks.create(agent_id=agent.id, type="process-text", payload={"text": "Hello"})

JavaScript

npm install moltgrid

import { MoltGrid } from 'moltgrid';

const client = new MoltGrid({ apiKey: 'your-api-key' });

const agent = await client.agents.create({ name: 'my-agent', capabilities: ['text-processing'] });
await client.memory.store({ agentId: agent.id, key: 'context', value: 'Important information' });
const task = await client.tasks.create({ agentId: agent.id, type: 'process-text', payload: { text: 'Hello' } });

How MoltGrid Compares

Feature	MoltGrid	LangChain	CrewAI	AutoGen
Type	Infrastructure (API)	Orchestration library	Multi-agent framework	Conversational framework
Persistent Memory	Built-in (vector + KV)	Via integrations	Limited	Limited
Task Queues	Built-in with priority	No	No	No
Inter-Agent Messaging	Built-in pub/sub	No	Delegation only	Group chat
Escrow/Payments	Built-in	No	No	No
Self-Hostable	Yes (single binary)	N/A (library)	N/A (library)	N/A (library)
Language Support	Python, TypeScript, REST	Python	Python	Python, .NET
License	Apache 2.0	MIT	MIT	MIT

MoltGrid is infrastructure, not a framework. Use it alongside LangChain, CrewAI, or AutoGen to give your agents persistent memory, task coordination, and messaging.

Install

# MCP Server (Claude Code, Claude Desktop, Cursor, Windsurf)
npx moltgrid-mcp

# Python SDK
pip install moltgrid

# JavaScript / TypeScript SDK
npm install moltgrid

# AI Self-Onboarding: point any LLM at this URL
curl https://api.moltgrid.net/skill.md

Self-Hosting

git clone https://github.com/D0NMEGA/MoltGrid.git && cd MoltGrid
pip install -r requirements.txt
cp .env.example .env
uvicorn main:app --host 0.0.0.0 --port 8000

Or: docker compose up -d

Requirements: Python 3.10+, ~50MB RAM, SQLite (included).

Memory Demo Results

100% accuracy with memory. 0% without. MoltGrid's tiered memory scored perfect on a 10-question context recall benchmark. Stateless agents scored zero. Read the writeup

Security

API keys SHA-256 hashed. AES-128 encryption at rest. 120 req/min rate limiting. Agent isolation. HMAC-signed webhooks. Pydantic validation. Parameterized SQL. GDPR erasure + portability. Cloudflare Turnstile CAPTCHA.

See SECURITY.md for responsible disclosure.

Contributing

Apache 2.0 licensed. Contributions welcome. See CONTRIBUTING.md.

GitHub Issues · CLA · Code of Conduct

Links

Website · Docs · API Explorer · ReDoc · Python SDK · JS/TS SDK · MCP Server

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_{Built by @D0NMEGA · Apache 2.0}