Agentes de IA
nanocoder
Community-built terminal coding agent: bring your own model, keep code local.
★ 2,5k estrellasCustom
Ver la guía →Beam es un proyecto de agentes de IA de código abierto de reflection-oss (reflection-oss/mirror en GitHub). Tiene 6 estrellas en GitHub y 0 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 16 de octubre de 2026.
Beam — Reflection's open 501B MoE model built for agentic coding: 23B active parameters, a 1M-token context, Apache-2.0 weights, and Mirror, its open-source terminal harness
Download a checkpoint from Hugging Face in the numerics your hardware suits: the main BF16 repo, or the FP8 and NVFP4 variants published alongside it — all Apache-2.0.
Run it with the day-0 vLLM, SGLang or transformers support. Plan for datacenter GPUs: the practical self-host route is the NVFP4 checkpoint on four B200s, which leaves room for long-context KV cache and concurrent requests.
Install Reflection's open-source harness, launch it inside your project and sign in: Mirror reads and edits files, runs commands, and works parallel tasks in separate repository worktrees.
Built for coding agents and tool use: 81.6% SWE-bench Verified, 80.1% Terminal Bench v2.1 and 80.8% MCP Atlas on the model card (BF16), with a dedicated tool-calling grammar.
Hybrid sliding-window and global attention grows the KV cache by roughly 36 KiB per token — about 36 GiB at the full 1M-token context, roughly a sixth of the naive rate.
The model card reports comparable solution quality to leading open models using roughly 3x fewer inference-time reasoning tokens; effort is adjustable (low, medium, high, xhigh, max) and thinking can persist across turns.
Apache-2.0 weights in three precisions, a native transformers implementation and published SFT/RL recipes — a frontier-scale model with no API lock-in.
The launch recipe serves the BF16 checkpoint across 16 GPUs behind an OpenAI-compatible endpoint.
vllm serve reflection/Beam-1.0-501B-A23B --tensor-parallel-size 16 --served-model-name beamThe native implementation lands in transformers 5.20.1+; the tokenizer ships a response template that parses reasoning, answers and tool calls for you.
pip install -U "transformers>=5.20.1"
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="reflection/Beam-1.0-501B-A23B",
device_map="auto",
)Reflection's terminal coding agent: the package is reflection-mirror, the command is mirror.
uv tool install reflection-mirror
cd /path/to/your/project
mirrorReflection (Reflection AI), a US lab. The weights are published on Hugging Face under the reflection org; the code home is the reflection-oss GitHub org.
Yes — the model weights and the Mirror harness are both Apache-2.0. Running a 501B model still needs serious GPU hardware, or a hosted inference provider.
Datacenter GPUs. The BF16 checkpoint is about 1 TB; the practical self-host route is NVFP4 (about 280 GB) on Blackwell hardware — the launch guide plans for four B200s. FP8 suits Hopper/Ampere setups.
Against API-only frontier models, Beam is downloadable, self-hostable and Apache-2.0. Against other open MoE models, its card leads with agentic results (81.6% SWE-bench Verified, 80.1% Terminal Bench v2.1), and it ships its own open-source harness, Mirror.
Download a checkpoint from Hugging Face, serve it with vllm serve (or SGLang/transformers), and install Mirror with uv tool install reflection-mirror to put the model to work in your repo.
Community-built terminal coding agent: bring your own model, keep code local.
ZCode — Z.ai's AI coding workspace: desktop app, browser interface and terminal agent in one open-source harness
Up to 20x faster AI coding with smart model routing and full self-hosting.
The official collection of reference Model Context Protocol servers.
Compression gateway that cuts AI coding agents' token bills up to 85%.
The official TypeScript SDK for Model Context Protocol servers and clients.
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Beam no es lo que buscas.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a Beam: sigue explorando a ambos lados.
Build, deploy, and monetize autonomous agents across Web3.
A personal AI that really does things — on any OS, with your data staying yours.
The official Python SDK for building on Vapi's voice AI platform.
An agentic skills framework & software development methodology that works.
Autonomous research loops, from topic to experiments.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.