Future AGI VS Cachely.dev
Compare Future AGI VS Cachely.dev and see what are their differences
Exercise dataset for fitness apps: transparent background, animations, no subscription
sponsored
Future AGI
Langfuse
Helicone AI
Openlayer
LangSmith
Better Stack
LangChain
Middleware.io
Cachely.dev
nxCloud
Building an AI agent is easy. Knowing if it works is hard. Keeping it working is impossible. Future AGI is the open-source platform that takes AI agents from first prompt to production - and keeps making them better with every version. โ Experiment with prompts, models, and configurations in one place โ Simulate against thousands of synthetic users - voice and text before launch โ Evaluate every agent data, decision and response, shield every input, in real time โ Route every model call through one gateway with fallback and caching โ Trace and replay every step in production, across every framework โ Auto-improve agents from real production failures, fix by fix Apache 2.0 | Self-hostable | Free.
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.
Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.
Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.
Future AGI Cachely.devNo Cachely.dev videos yet. You could help us improve this page by suggesting one.
Based on our record, Future AGI seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Overview: Future AGIโs Synthetic Data Studio allows teams to create evaluation datasets, agent simulation environments, and fine-tuning sets across several modalities. - Source: dev.to / about 1 year ago
I am excited to open-source something we've spent months perfecting at Future AGI: a robust AI Evaluation Library that meets the needs of modern GenAI teams in this probabilistic Agentic world, without black-box limitations. AI evaluation remains the hardest unsolved problem in our field. How do you measure the accuracy of your eval pipeline? How do you evaluate the evaluator? How do you trust your metrics when... - Source: dev.to / about 1 year ago
At Future AGI,we understand the importance of AI-aided quality systems. Our state-of-the-art AI-enhanced solutions for testing and debugging are geared to aid businesses by bettering their development cycles and improving the quality of software. To check further on our novel approach to QA, go to the Future AGI. - Source: dev.to / over 1 year ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
nxCloud - nxCloud is a commercial OwnCloud provider
Helicone AI - Open-source LLM Observability for Developers
Openlayer - Test, fix, and improve your ML models
LangSmith - Build and deploy LLM applications with confidence
Better Stack - Everything you need to ship higherโquality software faster.