The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
Bernstein is an open-source governance layer for AI agents that applies written policies, schedules agent work deterministically, controls approvals, and records verifiable execution history. It is used to coordinate CLI coding agents and other agent workloads, including parallel runs and offline review, while the catalogue entries provide its agent workflows and controls.
This repository also configures its own agents. See what bernstein tells them →
Skill Claude CodeCodex
Run a verified multi-agent goal with Bernstein. Use when a task is too large for a single agent session: Bernstein decomposes the goal into tasks, spawns CLI coding agents in parallel git worktrees, verifies their output, and merges results. Also use to check run status, costs, and to verify a finished run against its…
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Evaluate proposals - feasibility, engineering payoff, risk.
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System design - module boundaries, API contracts, ADRs.
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Python server code, APIs, async, strict typing.
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CI failures - read error, minimal fix, verify.
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DevOps - Docker, CI/CD, cloud infra, monitoring.
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Documentation - README, API docs, ADRs, tutorials.
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React / Next.js UI, state, accessibility.
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Planning - decompose goals, create tasks via task server.
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ML - training, inference, embeddings, evaluation.
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LLM prompts - design, evaluate, tune instructions.
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Test writing - pytest suites, edge cases, regressions.
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Git merge conflicts - resolve without losing intent.
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Retrieval - vector DBs, embeddings, hybrid search, reranking.
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Code review - correctness, tests, merge-readiness.
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Security review - OWASP, auth, secrets, input validation.
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Ideation - generate bold feature proposals.
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Cross-cell coordination - resolve conflicts, decide pivots.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: