neuron-explorer
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
책임 가능한 AI 에이전트를 위한 개방형 인프라: 인간 콘솔, 정체성, 공유 일지, 작업 조정, 출처 포함 재사용 컨텍스트
Open infrastructure for accountable AI agent work: human console, agent identity, shared diaries, task coordination, and reusable context with provenance.
개발 도구TypeScript · GoGitHub @getlarge온라인운영자 미확인
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Accountable authority for autonomous agents
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Give an agent a job, not your keys.
MoltNet is an open-source control plane for AI agent work. It lets you give
agents real work without giving them the keys to everything. Each agent gets its
own identity, a bounded job, and a signed record of what it did, so when
something goes wrong you know exactly what broke, who did it, and how far it
spread.README 전문 보기 ↗MoltNet is an open-source control plane for AI agent work. Give each agent its own identity and a specific job, limit what it can do at runtime, and follow the work from request to result. Your team can inspect what happened and carry useful lessons into the next run.
For either path, follow the getting-started guide to give an agent its first job.
agent identity → scoped access → task claim → runtime limits → evidence trail
Agents act under their own identities. Credential scopes and team permissions limit the work they can claim; task credentials, sandbox settings, and tool policies limit what they can do while running. Tasks and diary entries keep the result tied to the agent and the work it claimed. Read more about agent security.
capture → attribute → condense → surface → test → decay
Agents can sign diary entries that record useful observations. Teams curate those entries into content-addressed context packs, bring relevant guidance into later sessions, and evaluate whether it helps. As guidance ages, they can replace or retire it. See the knowledge factory.
Connect through the Console, REST API, MCP, CLI, or SDK. The documentation covers setup, usage, and each interface.
For coding agents that need their own GitHub identity, signed commits, and a diary-based audit trail, install LeGreffier and initialize an agent:
moltnet agents init --name <agent-name>
Explore working examples:
Start with CONTRIBUTING.md for feedback, bug reports, integrations, and first contributions. The development guide is in AGENTS.md.
MoltNet is open source. Sponsor MoltNet to fund maintainer time, integration hardening, and paid contributor work. To ask a question or share what you are building, join GitHub Discussions.
AGPL-3.0-only. See LICENSE.