MarketNow Registry / Search / innovation-lab-examples

innovation-lab-examples

80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.

Search v1.0.0 by fetchai

Trust score

88/100

Install risk

Runs registry code

GitHub stars

1,143

Source

github

Indexed

2026-09-12

Install

$ pip install innovation-lab-examples

Installing via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.

Adoption evidence: 1,143 GitHub stars.

How MarketNow scored this

Sentinel Index Heuristics — a security-first estimate from public signals:

Package age and release activity (stale repositories lose points)
Verified adoption: registry downloads or GitHub stars, not follower counts
Typosquat distance against the 150 most-installed MCP packages
Injection markers scanned in the package description

Heuristic, not a guarantee. For verified agent credentials and revocation, see the MarketNow Trust API.

What is innovation-lab-examples?

80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI. Indexed by MarketNow with trust 88/100 (Runs registry code).

How do I install it?

Run $ pip install innovation-lab-examples Installing via npx/uvx/npm install executes arbitrary code from the public registry on your machine. This is the install-risk semantic of the MarketNow catalog — verify the publisher before running it.

What does the trust score mean?

Security-first heuristic over public signals (age, adoption, typosquat distance, injection markers). It is not a popularity ranking and not a guarantee of safety. innovation-lab-examples scores 88/100.