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/rebel0789/memory-recall/issue-trackergit clone --depth 1 https://github.com/rebel0789/Memory-RecallWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/rebel0789/memory-recall/issue-tracker)<a href="https://agentmods.dev/agents/rebel0789/memory-recall/issue-tracker"><img src="https://agentmods.dev/badge/agents/rebel0789/memory-recall/issue-tracker.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00000 | $0.00846 |
| Opus 5 | $0.00000 | $0.00423 |
| Sonnet 5 | $0.00000 | $0.00169 |
| Haiku 4.5 | $0.00000 | $0.00085 |
Grade A, and why
issue-tracker scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Issue tracker: GitHub with local drafts
Issues and PRDs for this repo live in GitHub Issues for rebel0789/Memory-Recall. Use the gh CLI for canonical issue operations.
Local markdown under .scratch/ may be used for offline notes, private scratch work, or draft issue/PRD shaping before publishing to GitHub. Local markdown is not the canonical tracker unless the user explicitly asks for a local-only draft.
GitHub conventions
- Create an issue:
gh issue create --title "..." --body "...". Use a heredoc for multi-line bodies. - Read an issue:
gh issue view <number> --comments, filtering comments byjqand also fetching labels. - List issues:
gh issue list --state open --json number,title,body,labels,comments --jq '[.[] | {number, title, body, labels: [.labels[].name], comments: [.comments[].body]}]'with appropriate--labeland--statefilters. - Comment on an issue:
gh issue comment <number> --body "..." - Apply / remove labels:
gh issue edit <number> --add-label "..."/--remove-label "..." - Close:
gh issue close <number> --comment "..."
Infer the repo from git remote -v - gh does this automatically when run inside a clone.
Pull requests as a triage surface
PRs as a request surface: yes.
External PRs run through the same labels and states as issues. Collaborator-owned in-flight PRs are not part of the request queue.
Use the gh pr equivalents:
- Read a PR:
gh pr view <number> --commentsandgh pr diff <number>for the diff. - List PRs for triage:
gh pr list --state open --json number,title,author,isDraft,mergeStateStatus,mergeable,statusCheckRollup,labels,headRefName,updatedAt,url. When open issues are empty, inspect open PRs before inventing backlog work. Maintainer-ownedCLEANPRs are release/review queue; bot or externalUNSTABLEPRs are triage queue. - Detect superseded PRs: compare
gh pr diff <number> --name-onlywith the active branch (git diff --name-only origin/main...HEAD), staged (git diff --cached --name-only), and unstaged (git diff --name-only) file lists before cherry-picking or merging old green PRs into an active branch. - Comment / label / close:
gh pr comment,gh pr edit --add-label/--remove-label,gh pr close.
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 · 52 lines · 0 tokens per session scan A a2dbef16312a
issue-tracker is an agent published in the GitHub repository rebel0789/Memory-Recall (8 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 846 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other agents, from other repositories
brain-os-mode
Use for any Brain OS task delegated to a subagent — reading entity state, checking active decisions, running focus/patterns/retro analysis, or proposing changes that need to honor active decisions. Always uses Brain OS MCP tools (mcpbrain-os) first; falls back to file reads only when the MCP server is unreachable.…
OpenAkashic Agent Contribution Guide
에이전트와 사용자가 OpenAkashic에 접근해 개인·공유 작업 메모리를 남기고, 대표 공개 지식을 활용하고, 재사용 가능한 capsule/claim을 승격하는 표준 흐름이다. MCP를 쓰는 에이전트도, skills 문서와 API 토큰만 쓰는 에이전트도 같은 정책을 따른다.
Codex AGENTS Template
Copy this text into /.codex/AGENTS.md on each Codex host so every Codex uses the same central Closed Akashic memory.
agent
Codex, Cursor, OpenCode and similar agents should treat OpenAkashic as a world-agent shared memory system: a shared working-memory layer plus a reviewed public answer layer, not as a one-shot retrieval dump.
Codex AGENTS Template Capsule
본 프로토콜은 모든 Codex 에이전트가 개별적인 로컬 메모리 대신, Closed Akashic Memory (MCP)를 유일하고 중앙화된 장기 작업 메모리로 사용하도록 표준화합니다. 이는 모든 에이전트가 동일한 지식 기반과 작업 흐름을 공유하여 지식의 파편화(fragmentation)를 방지하고, 일관성 있는 지식 관리를 보장하는 것이 핵심 목표입니다.
Distributed Agent Memory Contract
Remote agents on different servers should use one shared operating pattern: a world-agent shared memory layer from Closed Akashic over MCP, canonical truth from each project repo, and a tiny per-Codex AGENTS.md that points agents back to this server.