AgentIndex icon
AgentIndex
agy-mcp logo
agy-mcp
★ 25
vs
OctoForge logo
OctoForge
★ 22

agy-mcp vs OctoForge

agy-mcp: Agy-mcp wraps Google's Antigravity CLI into 11 typed MCP tools, making it callable by any MCP client like Claude Code or OpenAI Codex. It also provides optional Skill bundles to teach supporting platforms when and how to invoke these tools, alongside robust safety policies for secure execution.; OctoForge: OctoForge is a self-hosted, multi-user agent platform designed for teams, enabling a single assistant to learn skills, remember context, and integrate with internal APIs. It supports concurrent interactions with multiple users and tasks, while a single process can host various organizations, each with isolated resources.

01

TL;DR

agy-mcp logo
agy-mcpMulti-Agent · ★ 25

Getting a second opinion on a bug hypothesis (using `mode="review"`).

Read agy-mcp full review →
OctoForge logo
OctoForgeMulti-Agent · ★ 22

Internal Knowledge Assistant: Providing a company-wide AI assistant that learns from internal documentation and answers employee questions.

Read OctoForge full review →
02

Side-by-Side Comparison

Field
agy-mcp logoagy-mcp
OctoForge logoOctoForge
Category
Multi-Agent
Multi-Agent
Stars
★ 25
★ 22
License
MIT
NOASSERTION
Install Command
curl -LsSf https://astral.sh/uv/install.sh | sh && uv tool install agy-mcp
git clone https://github.com/dmirain/OctoForge && cd OctoForge && make quickstart
Updated
1w ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
MCP, LLM Agent, CLI Wrapper
Multi-Agent Platform, Self-Hosted, Python
03

Features

agy-mcp logoagy-mcp
01Provides Skill bundles for agent platforms to learn invocation context and safety rules.
02Implements a robust safety policy for redaction, write control, and sensitive file access.
03Supports synchronous one-off calls and background long-running tasks with status and result retrieval.
04Offers cross-platform process group termination for running jobs.
OctoForge logoOctoForge
01New capabilities arrive without a deploy: Skills, knowledge, and API integrations are stored in the database, allowing the agent to learn and adapt without code changes or restarts.
02A dialog is an actor, not a request handler: Conversations are durable, concurrent "exchanges" that can pause for user input or run background tasks, preventing waits.
03Secrets are structurally out of reach of the model: API keys and tokens are stored encrypted and accessed via one-time links, ensuring credentials never pass through the LLM context.
04Multi-user is the schema, not a wrapper: User and tenant isolation (ownership, access) is built into the database schema from the ground up, not added as an afterthought.
05Big API responses live in the database, not in the context: Large API payloads are stored and processed in Postgres as "collections," providing the model with summarized insights rather than raw data.
04

Use Cases

agy-mcp logoagy-mcp
↳Getting a second opinion on a bug hypothesis (using `mode="review"`).
↳Applying a reviewed diff to the codebase (`mode="execute", allow_write=True`).
↳Performing large-scale refactoring tasks over several hours (`agy_start(..., mode="long")`).
↳Environment and authentication detection without leaking secrets (`agy_doctor`).
OctoForge logoOctoForge
↳Internal Knowledge Assistant: Providing a company-wide AI assistant that learns from internal documentation and answers employee questions.
↳Automated Workflow Execution: Scheduling tasks, calling internal APIs with secured credentials, and performing background work based on user requests.
↳Multi-Tenant Bot Hosting: Hosting multiple isolated AI assistants for different departments or client organizations within a single self-hosted instance.
↳Secure API Gateway for LLMs: Allowing LLMs to interact with sensitive internal APIs without directly exposing credentials to the model.
↳Enhanced Customer Support Bot: Deploying a bot that can access knowledge bases, query user-specific data, and manage support tickets.
FAQ

FAQ

What is the difference between agy-mcp and OctoForge?
Both agy-mcp and OctoForge are in the Multi-Agent category. agy-mcp has 25 stars, while OctoForge has 22 stars.
Which is better, agy-mcp or OctoForge?
The best choice depends on your use case. Choose agy-mcp if Getting a second opinion on a bug hypothesis (using `mode="review"`)., and OctoForge if Internal Knowledge Assistant: Providing a company-wide AI assistant that learns from internal documentation and answers employee questions..
Is agy-mcp free or open source?
Yes, agy-mcp is open source on GitHub (MIT).
Is OctoForge free or open source?
Yes, OctoForge is open source on GitHub (NOASSERTION).
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Related

Alternatives to agy-mcp →Alternatives to OctoForge →agy-mcp details →OctoForge details →