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Named Tmux Manager: a Go control plane to spawn, tile, and coordinate multiple AI coding agents (Claude, Codex, Antigravity, omp, Grok) across tmux panes - graph-aware work triage, safety policy and approvals, Agent Mail coordination, checkpoints/timelines, and robot JSON + REST/SSE/WebSocket/OpenAPI surfaces.
The resources of LucaOne, including: the model code, training scripts, embedding inference code, and trained checkpoints.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.
Lightweight AI Agent Harness for agentic coding: let strong models explore while humans steer with minimal specs, checkpoints, approval, validation, and reverse sync.
Orchestrates multi-step AI agent workflows — defines execution graphs, manages shared state, dispatches work to agents, and tracks progress with checkpoints and streaming
Persistent runtime for long-running AI agent tasks with durable checkpoints, lease-based workers, retries, dead letters, and operational visibility
✨ Cross-agent skills that help coding agents use Entire context from Checkpoints, sessions, and git history to search past work, explain code, and hand off sessions.
A TDD-driven iterative feedback loop for software development. 16 cohesive Claude Code skills walk an idea from brainstorm → plan → execute → iterate, with checkpoints throughout.
This repository contains Velocity Executor — a free Roblox script executor for PC built for fast injection, stable performance, and easy access. Includes Level 8 execution in 2026 with no ads, no key checkpoints, and no extra verification.
Q-Align-style framework with lightweight LMMs, including 0.8B, 4B, and 9B checkpoints, dataset builders, caching, scoring, and CLI workflows.
High-performance single-GPU inference for selected model checkpoints and GPUs.
Self-hosted, one-tab workbench for the whole LoRA lifecycle: build Character / Concept / Style datasets (generate from a reference, scrape, or triage a huge dump in the Image Bank), curate, caption, clean watermarks, train locally or in the cloud across five model families, then rank checkpoints in a Test Studio. Free & local.
Official implementation of PhiZero: A World Model Built Around Physical Language. Code and checkpoints coming soon.
Ephemeral Workspaces, durable shared history. LayerFS gives every agent a complete, writable filesystem Workspace over shared committed history, without copying the base. Agents work in parallel, commit what changed as deduplicated checkpoints, then branch, rewind or merge. Try it with LayerFS × DSH.
Whole-body motion tracking for the Unitree G1 in under 3 minutes on average on one GPU: return 0.82 with 0/40 clips failed, held from 2.74 min (mean of 15 seeds, range 2.21-3.61, fine checkpoints), 11.87 it/s (world model + Muon + overlapped CUDA streams, mjlab)