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bernstein

bysipyourdrink-ltd· 1 MCP server

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171k

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744

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79

Category

AI Agents & MCP

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TL;DR

<br>

How to install bernstein?

sipyourdrink-ltd/bernstein
$git clone https://github.com/sipyourdrink-ltd/bernstein

Installs into the current project.

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Install & use

Install bernstein by running `git clone https://github.com/sipyourdrink-ltd/bernstein`, then use it for the current task and follow its documentation at https://github.com/sipyourdrink-ltd/bernstein.

Files · 1

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README.md
1<div align="center">
2 
3<picture>
4 <source media="(prefers-color-scheme: dark)" srcset="docs/assets/logo-dark.svg">
5 <source media="(prefers-color-scheme: light)" srcset="docs/assets/logo-light.svg">
6 <img alt="Bernstein" src="docs/assets/logo-light.svg" width="340">
7</picture>
8 
9<br>
10 
11> *"To achieve great things, two things are needed: a plan and not quite enough time."* - Leonard Bernstein
12 
13</div>
14 
15### why the name?
16 
17Bernstein is named after Leonard Bernstein, the American conductor and composer. The project orchestrates a crew of CLI coding agents the way Bernstein conducted the New York Philharmonic: every player on cue, the score deterministic, the conductor accountable for the result. He is the original orchestrator the project takes its name from.
18 
19<div align="center">
20 
21### deterministic multi-agent CLI orchestration
22 
23[![CI](https://github.com/sipyourdrink-ltd/bernstein/actions/workflows/ci.yml/badge.svg)](https://github.com/sipyourdrink-ltd/bernstein/actions/workflows/ci.yml)
24[![PyPI](https://img.shields.io/pypi/v/bernstein)](https://pypi.org/project/bernstein/)
25[![GHCR](https://img.shields.io/badge/ghcr.io-bernstein-2496ed?logo=docker&logoColor=white)](https://ghcr.io/sipyourdrink-ltd/bernstein)
26[![Python 3.12+](https://img.shields.io/badge/python-3.12+-3776ab?logo=python&logoColor=white)](https://python.org)
27[![License](https://img.shields.io/github/license/sipyourdrink-ltd/bernstein)](LICENSE)
28[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/sipyourdrink-ltd/bernstein/badge)](https://scorecard.dev/viewer/?uri=github.com/sipyourdrink-ltd/bernstein)
29[![CodeQL](https://github.com/sipyourdrink-ltd/bernstein/actions/workflows/codeql.yml/badge.svg?branch=main)](https://github.com/sipyourdrink-ltd/bernstein/actions/workflows/codeql.yml)
30[![Open in Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/sipyourdrink-ltd/bernstein?quickstart=1)
31 
32[website](https://bernstein.run) &middot; [docs](https://bernstein.readthedocs.io/) &middot; [install](docs/getting-started/install.md) &middot; [first run](docs/getting-started/first-run.md) &middot; [glossary](docs/reference/GLOSSARY.md) &middot; [limitations](docs/reference/KNOWN_LIMITATIONS.md) &middot; [sponsor](https://github.com/sponsors/chernistry)
33 
34</div>
35 
36---
37 
38Bernstein is a deterministic orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, and 40+ more). Scheduling is plain Python - no LLM in the coordination loop - so runs are reproducible end to end. Every task runs in its own git worktree behind lint/type/test gates. Results stay checkable after the fact: an always-on lineage spine and replay journal, plus an opt-in HMAC-chained audit log (`--audit`) with receipts you can verify offline. Air-gap install profile included. Apache-2.0.
39 
40### at a glance
41 
42- **Deterministic scheduler**: zero LLM in the coordination loop. Plain Python decides who runs, where, with what budget. Replay yesterday's plan, get yesterday's task graph.
43- **Per-artefact lineage** records every adapter file write, without per-adapter opt-in, as one Merkle-chained, HMAC-tagged entry in an always-on lineage spine (`.sdd/lineage/<run_id>/spine.jsonl`). The chain head hash is the run's artifact-provenance identity. CLI: `bernstein lineage verify <run_id>` (recompute the chain, distinct `NO ENTRIES` status for empty runs) and `bernstein lineage replay <run_id>`.
44- **Always-on replay journal**: every run records into one Merkle-chained event journal (`.sdd/runs/<run_id>/journal.jsonl`) whose head hash is the run identity; no on/off flag, `BERNSTEIN_REPLAY_RETENTION` caps disk. Non-determinism surfaces as a hash mismatch: `bernstein replay <run_id> --verify` recomputes the head and reports the exact first divergent step, and `bernstein replay <run_id> --from-step N` rebuilds deterministic state. The journal head is sealed into the lineage spine so replay identity and artefact provenance share one root. Provider-side context mutations (server-side

Preview

sipyourdrink-ltd/bernsteinsipyourdrink-ltd/bernstein
Reposipyourdrink-ltd/bernstein
TypeMCP Servers
CategoryAI Agents & MCP
UpdatedJul 2026
LicenseApache-2.0
First seenJul 27, 2026

Tags

MCPagent-orchestratoragentic-ai

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