future-agi
End-to-end platform for evaluating, observing, and improving LLM and AI agent applications
GraphCanon updated 2w · GitHub synced 2w
Decision brief
Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails.
Good fit when
- - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.
- - If your project demands a transparent approach where you can inspect every evaluator, prompt, and trace without vendor lock-in issues, this tool is suitable.
Avoid when
- - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available.
- - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.
- Pricing:
- freemium - Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.
- Requirements:
- Min 4 GB RAM; Requires Docker
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install future-agiSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Open-source toolkit providing comprehensive features including tracing, evaluations, simulations, datasets, gateway operations, and guardrails. Supports self-hosting with diverse deployment options such as Docker Compose, Production compose overlay, and VM-based services on public clouds.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 2, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 2, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 2, 2026
- Languages
- python, javascript
Source: github.language+package.json · Aug 2, 2026
Categories
Tags
README
Deployment options
| Target | Status | Notes |
|---|---|---|
| Docker Compose | ✅ | Published images with docker compose up -d from a fresh clone |
| Production Compose overlay | ✅ | ./deploy/setup.sh generates secrets, pins image tags, pulls images, and starts the stack |
| Kubernetes / Helm | ⏳ | Official manifests and Helm charts are coming soon |
| AWS / GCP / Azure | ✅ | Run Docker Compose on a VM today; managed Kubernetes support is coming soon |
| AWS Marketplace | ⏳ | Coming soon |
| Air-gapped / on-prem | ✅ | No phone-home — contact sales |
📄 License
Future AGI is licensed under the Apache License 2.0. See LICENSE and NOTICE.
You own your evaluation logic and your data. Inspect every evaluator, every prompt, every trace — no black-box scoring, no vendor lock-in.
Built with ❤️ by the Future AGI team and contributors worldwide.
If Future AGI helps you ship better AI, a ⭐ helps more teams find us.
🌐 futureagi.com · 📖 docs.futureagi.com · ☁️ app.futureagi.com · 📊 status.futureagi.com
For agents
This page has a .md twin and JSON over the API.