future-agi/future-agi
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0. observed · 2026-08-28
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 99
- Longevity 9
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 1.0
- age_days: 132
- days_rel: 8
- days_push: 7
- n_releases_24m: 25
Adoption not part of the score
1833 stars · 548 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Future AGI is an open-source, self-hostable platform for evaluating, observing, and improving LLM and AI agent applications, combining tracing, evaluations, simulations, datasets, a gateway, and guardrails in one feedback loop. It ships SDKs for Python, TypeScript, Java, and C#, a REST API, and integrates with 79+ frameworks like OpenAI, LangChain, and LlamaIndex.
Use cases
- evaluate llm outputs for hallucinations
- trace ai agent calls in production
- run rag evaluation pipelines
- simulate ai agents at scale with synthetic data
- add guardrails to block prompt injection and pii leaks
- self-host an llm observability platform
- optimize prompts from evaluation feedback
- monitor llm app quality with dashboards and alerts
When to choose
- you need end-to-end evals, tracing, and guardrails for LLM or agent apps in one self-hostable platform
- you want OpenTelemetry-compatible tracing across many LLM frameworks
- you need simulation and synthetic data to test agents before deployment
When to avoid
- you need a battle-tested stable release - the repo is explicitly a nightly build with rough edges
- you only need simple logging without an evaluation or observability platform
- you require a lightweight library rather than a full platform with dashboard and services
Facets
service · maturity experimental
monitoring tracing testing benchmarking alerting rag llm-inference agent-framework sdk api-framework large-language-models machine-learning monitoring developer-tools self-hosted python self-hosted cross-platform llm-evaluation llm-observability llmops guardrails hallucination-detection ai-gateway prompt-optimization simulation opentelemetry synthetic-data-generation ai-agents retrieval-augmented-generation docker web-server nodejs
8 sources
- readme: https://github.com/future-agi/future-agi · fetched 2026-08-28 · da9dbea5f350
- homepage: https://futureagi.com · fetched 2026-08-29 · 0d02c910cc59
- site_page: https://docs.futureagi.com · fetched 2026-08-29 · d3b99d64ecdc
- site_page: https://docs.futureagi.com/docs/api · fetched 2026-08-29 · b7baed9ab26b
- site_page: https://docs.futureagi.com/docs/sdk · fetched 2026-08-29 · d7499e41305d
- site_page: https://futureagi.com/changelog · fetched 2026-08-29 · 8fb2be986b6e
- site_page: https://futureagi.com/integrations · fetched 2026-08-29 · 7782a047fa14
- site_page: https://futureagi.com/pricing · fetched 2026-08-29 · fd34337537a2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| future-agi/future-agi | main | 81 |
For agents
markdown · JSON · MCP: product_card(name="future-agi/future-agi")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem