On Launch Llama
Future AGI
For AI engineers: traceAI captures prompts, completions, and agent decisions across 35+ frameworks, routing to your existing observability stack in two lines of code.
Built by Kartik
Artificial Intelligence Developer Tools Open Source Freemium
Visit website → Upvotes · 278
In category: #757 of 2808 · Artificial Intelligence
Future AGI is a Product Hunt listing on Launch Llama with 278 total upvotes, founded by Kartik who joined in Apr 2026, compared against 6 alternatives.
Product Hunt listing
Listing status
278upvotes
Community score
Kartik (Joined Apr 2026)
Founder
Compared against 6 alternatives
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Key Features
- Test agents at scale with simulations and scenarios
- Build and iterate on agents with datasets and experiments
- Identify and evaluate agent issues with error feeds
- Improve agent performance using optimization data
- Monitor agents with real-time tracing and dashboards
- Capture prompts, completions, and agent decisions with OTel-native tracing
About
traceAI is OTel-native LLM tracing that actually works with your existing observability stack. ✓ Captures prompts, completions, tokens, retrievals, agent decisions ✓ Follows GenAI semantic conventions correctly ✓ Routes to any OTel backend—Datadog, Grafana, Jaeger, anywhere ✓ Python, TypeScript, Java, C# with full parity ✓ 35+ frameworks: OpenAI, Anthropic, LangChain, CrewAI, DSPy, and more ✓ Two lines of code to instrument your entire app No new vendor. No new dashboard. Open source (MIT).
Use Cases
- Teams testing conversational agents with realistic customer personas and scenarios before deployment
- Developers integrating LLM tracing into existing observability stacks without vendor lock-in
Pricing
Free plan available with generous monthly tiers. Usage-based pricing after free tier: storage from $2/GB, AI credits from $10/1K, gateway from $5/100K requests.
Verdict
In the competitive open source space, Future AGI stands out as a solid option. With 278 upvotes from the Launch Llama community, it's clearly resonating with founders. traceAI is OTel-native LLM tracing that actually works with your existing observability stack. If for ai engineers: traceai captures prompts, completions, and agent decisions across 35+ frameworks, routing to your existing observability stack in two lines of code is a priority for your team, it's worth giving Future AGI a closer look.
FAQ
How does usage-based pricing work?
There are 6 billing dimensions: Storage, AI Credits, Gateway Requests, Cache Hits, Text Simulation, and Voice Simulation. Each has a generous free tier that resets monthly. You only pay when you exceed those limits. Volume discounts apply automatically as you scale.
What happens when I exceed the free tier?
On the free plan, usage pauses at the cap - you never get a surprise bill. On pay-as-you-go (credit card required), usage continues seamlessly and you are billed for the overage at published rates with automatic volume discounts.
Do I need a credit card to start?
No. The free plan requires no credit card. You get 50 GB storage, 2K AI credits, 100K gateway requests, 100K cache hits, 1M text sim tokens, and 60 minutes of voice sim every month.
What are AI Credits?
AI Credits power managed AI features: code evaluations and LLM-as-judge (charged per run), Protect guardrail checks (content moderation, PII, prompt injection), agentic evaluation agents, and synthetic data generation. Heuristic evals are always free. You get 2K credits free per month.
What is the difference between BYOK and AI Credits?
BYOK means you provide your own OpenAI or Anthropic API key for evaluations at $0 platform cost, paying the LLM provider directly. AI Credits use managed Turing models at $10 per 1K credits. Most eval features work with either option.
What is included for free on all plans?
Unlimited team members, unlimited projects, full API access, tracing with 11 span types, 70+ trace filters, custom dashboards, heuristic evals, BYOK LLM-as-judge evals, datasets stored forever, experiments, prompt management, annotation labels, agent playground, and 15 built-in gateway guardrails. No per-seat pricing ever.
What do Boost, Scale, and Enterprise add?
Boost ($250/mo): 90-day data retention, 5 knowledge bases, 10 annotation queues, 15 monitors. Scale ($750/mo): 1-year retention, unlimited KBs, queues and monitors, review workflow. Enterprise ($2,000/mo): SAML SSO, SCIM, HIPAA BAA, audit logs, ABAC, dedicated support, custom retention.
Can I set spending caps?
Yes. You can configure billing alerts at any threshold and set hard spending caps that pause ingestion when reached. The gateway has per-org, per-team, per-user, and per-key budget controls with hourly, daily, or monthly periods.
How does data retention work?
Free and Pay-as-you-go: 30-day retention. Boost: 90 days. Scale: 1 year. Enterprise: custom. Datasets and annotations persist forever on all plans. Gateway configs never expire.
Do you offer startup discounts?
Yes. Startups accepted into our program get $10K in free credits and 6 months of Scale-level access. Visit /startups or contact us for details.
Founder Guides
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Ask AI
ChatGPT Claude Perplexity Grok
For agents
llms.txt · llms-full.txt · ai.txt · Live fact sheet · Full catalog (.md) · Endpoint index · API spec · REST access · Agent server · Server manifest · Server discovery