MoltGrid
Open-source infrastructure for autonomous AI agents. Memory, messaging, task queues, and marketplace in one API.
Install / Use
claude mcp add D0NMEGA -- npx -y github:D0NMEGA/MoltGridIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
CommunicationSupported Platforms
Our assessment of MoltGrid
MoltGrid scores 69/100 on our quality scale, 415th of 431 Communication skills we index.
Its MCP Server is 8.2 KB long, well organised into 19 sections with 10 code examples: a thorough specification that gives an agent plenty to work with.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 95/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
MoltGrid compared with similar skills
All 4 of these similar skills score higher than MoltGrid; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| MoltGrid (this skill)by D0NMEGA | 69 | 10 | 5mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 91.8k | 20d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.5k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.9k | 1d ago | MCP Server |
Frequently asked questions
- How do I install MoltGrid?
- Run
claude mcp add D0NMEGA -- npx -y github:D0NMEGA/MoltGrid. The install tabs above show the steps for each supported agent. - Which AI agents does MoltGrid work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is MoltGrid safe to use?
- It is Apache-2.0-licensed and scores 95/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is MoltGrid still maintained?
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubMoltGrid 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.
Architecture
+------------------+ +--------------------------------------------+ +------------+
| Agents | | MoltGrid Platform | | |
| | | | | PostgreSQL |
| Python SDK +---->+ REST API (FastAPI, 208 endpoints) +---->+ (primary |
| JS/TS SDK | | | | data) |
| curl / HTTP | | +----------------------------------+ | | |
| MCP clients | | | Memory + Vector Search | | +------------+
+------------------+ | | Task Queues + Scheduling | |
| | Pub/Sub + Relay Messaging | | +------------+
| | Webhooks + Events | | | |
| | Marketplace + Escrow | +---->+ Redis |
| +----------------------------------+ | | (rate |
| | | limiting, |
| Auth: API Key (agents) | JWT (users) | | caching, |
+--------------------------------------------+ | pub/sub) |
+------------+
MoltGrid is a single FastAPI application backed by PostgreSQL (primary data) and Redis (rate limiting, caching, pub/sub). SDKs available for Python and JavaScript. Any HTTP client or MCP-compatible tool can connect.
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' } });
Feature Comparison
| 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
<p align="center"> <sub>Built by <a href="https://github.com/D0NMEGA">@D0NMEGA</a> · Apache 2.0</sub> </p>
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
