future-agi
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,
Good fit when
- You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
- Your project requires detailed tracing and observability features for LLM and AI agents, including guardrails and hallucination detection.
Avoid when
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development.
- You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future.
- Pricing:
- freemium - The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.
- Requirements:
- Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
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
Self-hostable platform for evaluating and observing LLM and AI agent applications, featuring tracing, evaluations, simulations, and guardrails
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Sep 18, 2026
- Languages
- python, javascript
Source: github.language+package.json · Sep 18, 2026
Categories
Tags
README
Deployment options Target Status Notes : : Docker Compose ✅ Published images with from a fresh clone Production Compose overlay ✅ generates secrets, pins image tags, pulls images, and starts the stack Kubernetes / Helm ⏳ Official manifests and Helm charts are coming soon AWS / GC...
For agents
This page has a .md twin and JSON over the API.