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.
No outside reports on file
Use these examples for learning patterns only; never copy credentials, always audit code before running in production, and verify all dependencies are current and from trusted sources.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsRequires API key or tokenREVIEW
- Package sourceGitHub (fetchai/innovation-lab-examples)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/fetchai/innovation-lab-examples ↗
About Innovation Lab Examples
A collection of 80+ code examples showing how to build AI agents and multi-agent systems using various frameworks like LangChain, CrewAI, and Claude. The examples demonstrate autonomous agent patterns, agent-to-agent communication, and integration with different AI model providers.
Who it’s for
Python developers learning to build autonomous AI systems and engineers prototyping multi-agent architectures. Teams exploring different agentic AI frameworks and design patterns.
Alternatives
- AutoGPT — General-purpose autonomous agent framework with plugins
- LangChain documentation and examples — Official framework examples with best practices
- OpenAI cookbook — Official examples from OpenAI for agent patterns
- Anthropic prompt library — Claude-specific examples maintained by Anthropic
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README for installation instructions and example setup. The repository contains individual Python example projects; typical setup involves cloning the repo and installing dependencies with pip for examples of interest.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.2k
- Listing last refreshed
- 2026-10-28
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- API credentials exposure: Examples may require API keys for Claude, OpenAI, Gemini or other services; storing credentials in example code or config files could leak them
- Outdated dependencies: Collection may contain old library versions with known security flaws if not regularly maintained
- Malicious example code: Code snippets from a public repository could theoretically be modified or contain hidden functionality that executes unintended actions
- Over-permissive agent design: Examples might demonstrate agents with broad system access or external API permissions that shouldn't be replicated in production
- Supply chain risk: Depends on multiple third-party frameworks (LangChain, CrewAI, etc.); vulnerabilities in those could affect code based on these examples
How to lower the risk
Least-privilege permissions
- Run examples in isolated environments, not with production credentials
- Never hardcode API keys; use environment variables or secure credential managers
Network isolation
- Test examples in sandboxed environments before production deployment
- Restrict outbound network access from agent processes to necessary APIs only
Monitoring
- Log all agent actions and API calls for audit trails
- Alert on unexpected external API calls or data access patterns
Red flags to watch for
- Embedded credentials or hardcoded URLs in example code
- Examples requesting full filesystem or command execution access
- Unsigned or unverified agent code from untrusted branches
Questions
How do I install Innovation Lab Examples?
Innovation Lab Examples does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/fetchai/innovation-lab-examples.
Are there security reports about Innovation Lab Examples?
No reports found for this package in our research (last checked 2026-10-29). Innovation Lab Examples currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include api credentials exposure, outdated dependencies, malicious example code.
Is Innovation Lab Examples actively maintained?
Innovation Lab Examples has 1.2k GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/fetchai/innovation-lab-examples before pinning it in production.
What are alternatives to Innovation Lab Examples?
Notable alternatives to Innovation Lab Examples include AutoGPT (General-purpose autonomous agent framework with plugins), LangChain documentation and examples (Official framework examples with best practices), OpenAI cookbook (Official examples from OpenAI for agent patterns), Anthropic prompt library (Claude-specific examples maintained by Anthropic). You can also compare Innovation Lab Examples side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use Innovation Lab Examples? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/fetchai-innovation-lab-examples)HTML embed:
<a href="https://agentarmorhq.com/skills/fetchai-innovation-lab-examples"><img src="https://agentarmorhq.com/api/badge/fetchai-innovation-lab-examples" alt="AgentArmorHQ Risk Grade for Innovation Lab Examples" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "fetchai-innovation-lab-examples"- Compare Innovation Lab Examples →
- Add to a team allowlist
- Claude and terminal guide →
- Download the PDF guide
Share with your security lead
Need sign-off to use innovation-lab-examples? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: innovation-lab-examples
- **Listing URL:** https://agentarmorhq.com/skills/fetchai-innovation-lab-examples
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.2k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** Requires API key or token
- **Package source:** GitHub (fetchai/innovation-lab-examples)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/fetchai/innovation-lab-examples
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- fetchai
- Source code
- github.com/fetchai/innovation-lab-examples
- Est. context load
- ~900 tokens / turn (~5 tool schemas, 0.45% of 200k context)
- Popularity
- 1.2k GitHub stars
- Last updated
- 2026-10-28
- Last graded
- 2026-10-22
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