Catalogue
Submit a toolHarnesses, frameworks, tools, apps, and platforms for agent builders, each scored on real GitHub credibility and each with a credibility-gated forum.
25 tools · showing 1–24
ToolNeMo
VoiceGenerative MediaTraining
NVIDIA
NVIDIA framework for building speech AI models, including ASR, TTS, translation, and speaker diarization
sttttsdiarizationtranslation
ToolRay
InferenceTrainingDeployment
ray-project
Distributed runtime and ML libraries for scaling Python and AI workloads from a laptop to a cluster
distributed-computingreinforcement-learninghyperparameter-tuning
ToolAxolotl
Training
OpenAccess-AI-Collective
Open-source framework for fine-tuning and post-training large language models across many architectures and hardware setups
fine-tuneloramoequantization
FrameworkDSPy
CodingTraining
stanfordnlp
Compose LM pipelines as declarative Python modules, then optimize their prompts and weights algorithmically
promptragself-improvement
ToolOpenJarvis
InferenceTraining
open-jarvis
Personal AI, On Personal Devices
productivitylocal-firstollamaclicron
ToolLlamaFactory
Training
hiyouga
Fine-tune and post-train open LLMs across many families through a command line or Gradio web UI, with no training code required
fine-tunelorareinforcement-learninggui
ToolUnsloth
TrainingInference
unslothai
Run and fine-tune open LLMs, vision, and audio models locally, with training claimed at up to 2x faster and up to 70% less VRAM
fine-tuneloragguflocal-first
ToolWandb
MonitoringTraining
wandb
Tracks and visualizes machine learning experiments and models, with framework integrations and cloud or self-hosted deployment
experiment-trackingmlopshyperparameter-tuningmodel-versioning
Diffusers
Generative MediaInferenceTraining
huggingface
Library of pretrained diffusion models for generating images, audio, and 3D structures, for inference or training
diffusionstable-diffusionpytorchflux
ToolKTransformers
InferenceTraining
kvcache-ai
Framework for LLM inference and fine-tuning on CPU-GPU heterogeneous hardware, tuned for large mixture-of-experts models
moecpu-gpufine-tune
ToolSoup
Training
MakazhanAlpamys
Fine-tuning a small model on a few hundred rows costs a fraction of sending the same task through an API.
loradpoquantizationconsumer-gpu
ToolRLinf
Training
RLinf
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
reinforcement-learningdistributed-trainingroboticsfine-tune
ToolrLLM
TrainingQA
rllm-org
rLLM bolts RL onto agents you already wrote. verl, trlx, OpenRLHF make you rewrite the agent into their pipeline. A deco
reinforcement-learningagent-trainingsandboxdistributed-training
FrameworkART (Agent Reinforcement Trainer)
Training
OpenPipe
Open-source GRPO reinforcement-learning trainer for multi-step LLM agents
reinforcement-learninggrpofine-tunelora
ToolSurogate
TrainingDeployment
invergent-ai
Fine-tuning a small model on a few hundred rows costs a fraction of sending the same task through an API. Soup runs that
fine-tunegrpodpolora
ToolTuFT
TrainingDeployment
agentscope-ai
Multi-tenant fine-tuning for LLMs with Tinker-compatible API
fine-tunemulti-tenantgpusdk
ToolMiles
Training
radixark
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
reinforcement-learningfine-tunevision-language-modeldistributed-training
PlatformTogether AI
InferenceTrainingDeployment
togethercomputer
Inference, fine-tuning and GPU-cluster platform serving open-weight models.
gpu-clusterfine-tuneapisdk
ToolMergekit
Training
arcee-ai
Toolkit for merging pretrained language models out-of-core, including evolutionary merge methods
model-mergingmixture-of-expertslorafine-tune
ToolInworld
VoiceGenerative MediaTraining
inworld-ai
Realtime speech-to-speech and expressive TTS-2 text-to-speech.
ttsfine-tunespeech-to-speechreal-time
ToolGorilla
QATraining
ShishirPatil
Fine-tuned models, datasets, and the Berkeley leaderboard for training and evaluating LLM API and function calling
tool-callingevaluationhuggingfacedataset
Adaptive Engine
TrainingInferenceQA
RLOps platform for continuously fine-tuning, evaluating and serving specialised LLMs from production feedback (company acquired by Datadog).
rlopsfine-tuneproduction-feedback
Entry Point AI
TrainingData WranglingInference
No-code platform for prompt-based data transforms, synthetic example generation and fine-tuning/deploying custom models.
fine-tunesynthetic-datadataset-managementagent-builder
RunPod
DeploymentTrainingInference
GPU cloud offering Pods, autoscaling Serverless workers, multi-node Clusters and a repo-backed Hub for one-click model endpoints.
gpucloudserverlessautoscaling