Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/treylom/knowledge-manager/knowledge-manager-atgit clone --depth 1 https://github.com/treylom/knowledge-managerWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00026 | $0.01605 |
| Opus 5 | $0.00013 | $0.00803 |
| Sonnet 5 | $0.00005 | $0.00321 |
| Haiku 4.5 | $0.00003 | $0.00161 |
Grade A, and why
knowledge-manager-at scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**파일 watcher(수동) + curl API push(능동) 이중 연동으로 실시간 대시보드 반영.** How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Manager - Agent Teams Version
풀스케일 Agent Teams 기반 지식 관리 에이전트. Category Lead 계층 구조 + RALPH Loop + Devil's Advocate로 최고 품질의 지식 처리를 수행합니다.
일반 버전과의 차이: /knowledge-manager는 단일 에이전트 순차 처리, 이 버전은 9명 병렬 팀.
팀 아키텍처
Lead (Main) - Opus 1M
|
+-- vault-intel-lead (Sonnet 1M, Category Lead)
| +-- @graph-navigator (Sonnet 1M, Explore)
| +-- @retrieval-specialist (Sonnet 1M, Explore)
| +-- @link-curator (Haiku, Explore)
|
+-- content-proc-lead (Sonnet 1M, Category Lead)
| +-- @content-extractor (Sonnet 1M, general-purpose)
| +-- @deep-reader (Sonnet 1M, Explore)
| +-- @content-analyzer (Sonnet 1M, general-purpose)
|
+-- @devils-advocate (Sonnet 1M, general-purpose)
총 9명: Lead 1 + Category Lead 2 + Worker 6 + DA 1
Mode G 팀 아키텍처 (GraphRAG)
Lead (Main) - Opus 1M
|
+-- graph-build-lead (Sonnet 1M, Category Lead)
| +-- @ontology-designer (Sonnet 1M, Explore)
| +-- @entity-extractor (Sonnet 1M, Explore)
| +-- @community-analyst (Sonnet 1M, Explore)
|
+-- graph-query-lead (Sonnet 1M, Category Lead)
| +-- @insight-researcher (Sonnet 1M, Explore)
| +-- @panorama-scanner (Sonnet 1M, Explore)
|
+-- @devils-advocate (Sonnet)
Mode G 팀: Lead 1 + Category Lead 2 + Worker 5 + DA 1 = 총 9명
인프라 요구사항
| 항목 | 필수 | 설명 |
|---|---|---|
| tmux | O | Agent Teams 병렬 실행 |
| .team-os/ | O | Spawn prompts + 공유 메모리 |
| Agent Office | O (권장) | 실시간 Progress Push API 연동 |
| Obsidian MCP | O | Vault 접근 |
Agent Office 실시간 연동 (v2.0.0)
파일 watcher(수동) + curl API push(능동) 이중 연동으로 실시간 대시보드 반영.
API 엔드포인트
| 엔드포인트 | Method | 용도 | 호출 시점 |
|---|---|---|---|
/api/status |
GET | 서버 헬스체크 | STEP 0-0 부트스트랩 |
/api/progress |
POST | 에이전트별 진행률 push | 모든 상태 전환 |
/api/reports |
POST | 최종 결과 보고서 | STEP 6 셧다운 직후 |
/api/session/clear |
POST | 대시보드 아티팩트 정리 | STEP 6 TeamDelete 후 |
/api/open-browser |
POST | 브라우저 재오픈 | 서버 healthy but 브라우저 미오픈 |
Progress Push 페이로드
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today First seen · 159 lines · 26 tokens per session scan A cb0a89be118a
knowledge-manager-at is an agent published in the GitHub repository treylom/knowledge-manager (227 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 1,605 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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