#Large Language Models

tastyeffectco

sandboxd

★ 940

Open-source, self-hosted AI app builder, an agent builds real apps in isolated sandboxes on your own server, each live at a preview URL. Self-host in one command. MIT.

agentforce314

clawcodex

★ 899

Token efficient Claude Code full Python rebuild. AI Coding Agent in 270K LoC pure Python. Up to 200X Cost Saving!

jjang-ai

vmlx

★ 851

vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!

luckyPipewrench

pipelock

★ 846

Open-source AI agent firewall for MCP security and agent egress. Scans mediated HTTP, MCP, A2A, and WebSocket traffic for exfiltration, SSRF, and prompt injection, and emits mediator-signed action receipts: verifiable audit evidence from outside the agent.

LvcidPsyche

auto-browser

★ 792

Give your AI agent a real browser, with a human in the loop. Open-source MCP-native browser agent.

mikehasa

agentacct

★ 720

See what your coding agents did and what it cost. Breaks each task down into work steps, tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry.

Tura-AI

tura

★ 629

Across 348 long-horizon benchmark sessions, Tura used up to 83.1% fewer turns on the rewrite benchmark and improved the DeepSWE pass rate by up to 16.7 percentage points compared with Codex CLI.

reyamira

models

★ 507

TUI and CLI for browsing AI models, benchmarks, coding agents, and statuses for AI providers.

Ikalus1988

MisakaNet

★ 491

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. |

flytohub

flyto-core

★ 480

Flyto2 Core is the open-source execution kernel for automation and AI-agent workflows: 452 registry-backed modules, MCP-native transport, YAML recipes, evidence capture, replay, triggers, queue, versioning, and metering.

smithersai

smithers

★ 413

Agent workflows with full observability and time travel: watch every step live, rewind, fork, replay any run. Claude Code, Codex, Gemini, any model or harness. The same workflow runs across Claude Code, Codex, Pi, AI SDK models, and remote sandboxes.

0xwilliamortiz

ratchet

★ 402

Your agent reads the rules. This checks whether it followed them.

Tejas-TA

predikit

★ 400

The missing bridge between your ML models and your AI agents. MCP tools use the same Pydantic input validation and model execution as direct invoke() calls.