Coding Agent Session Finder
code-yeongyu/oh-my-openagent
Finds, reads and reconstructs past coding-agent sessions across Codex, Claude, OpenCode, Senpi and many other local agent logs.
Three-tier agent memory model (hot/cold/wiki) for context reduction per spawn
$ npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kubefleet-dev/kubefleet tiered-memory --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/kubefleet-dev/kubefleet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/tiered-memory .claude/skills/tiered-memory && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tiered-memory" agent skill from https://github.com/kubefleet-dev/kubefleet/tree/main/.github/skills/tiered-memory into .claude/skills/tiered-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiered-memory", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/kubefleet-dev/kubefleet/tree/main/.github/skills/tiered-memoryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kubefleet-dev/kubefleet tiered-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubefleet-dev/kubefleet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/tiered-memory .agents/skills/tiered-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tiered-memory" agent skill from https://github.com/kubefleet-dev/kubefleet/tree/main/.github/skills/tiered-memory into .agents/skills/tiered-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiered-memory", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kubefleet-dev/kubefleet tiered-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubefleet-dev/kubefleet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/tiered-memory .cursor/skills/tiered-memory && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tiered-memory" agent skill from https://github.com/kubefleet-dev/kubefleet/tree/main/.github/skills/tiered-memory into .cursor/skills/tiered-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiered-memory", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/kubefleet-dev/kubefleet.git --path .github/skills/tiered-memory--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kubefleet-dev/kubefleet tiered-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubefleet-dev/kubefleet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/tiered-memory .gemini/skills/tiered-memory && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tiered-memory" agent skill from https://github.com/kubefleet-dev/kubefleet/tree/main/.github/skills/tiered-memory into .gemini/skills/tiered-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiered-memory", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install kubefleet-dev/kubefleet tiered-memoryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kubefleet-dev/kubefleet.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/tiered-memory .github/skills/tiered-memory && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tiered-memory" agent skill from https://github.com/kubefleet-dev/kubefleet/tree/main/.github/skills/tiered-memory into .github/skills/tiered-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiered-memory", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kubefleet-dev/kubefleet tiered-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kubefleet-dev/kubefleet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/tiered-memory .opencode/skills/tiered-memory && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tiered-memory" agent skill from https://github.com/kubefleet-dev/kubefleet/tree/main/.github/skills/tiered-memory into .opencode/skills/tiered-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tiered-memory", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
tiered-memoryThree-tier agent memory model (hot/cold/wiki) for context reduction per spawn
Tiered Memory is an agent skill from kubefleet-dev/kubefleet. Three-tier agent memory model (hot/cold/wiki) for context reduction per spawn
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent memory. The repository describes itself as: KubeFleet is an open-source Kubernetes multi-cluster application management solution. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ea05fcb. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tiered Memory loads about 1.8k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 745 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from kubefleet-dev/kubefleet at commit ea05fcb, republished under its Apache-2.0 licence (© kubefleet-dev). 745 words, ~1,819 tokens.
.claude/skills/tiered-memory/SKILL.md (or your agent's skills folder).Status (v0.10.0): This skill describes a design proposal, not a shipped runtime. Skill files install via
squad init/upgrade, but the underlying tier scaffolding (.squad/memory/hot/,cold/,wiki/), Scribe promotion logic, and spawn-template tier-aware reads are tracked in bradygaster/squad#1264. Until those land, agents continue to load fullhistory.md+decisions.mdon every spawn.
Squad agents today load their full context history on every spawn, which grows unboundedly across sessions. The Tiered Agent Memory model proposes a three-tier separation so agents only load the bytes that are actually relevant to the current task, with older context kept available on demand.
--include-cold in spawn template or add ## Cold Memory section.--include-wiki or reference specific wiki doc paths in spawn template.| Situation | Hot | Cold | Wiki |
|---|---|---|---|
| New task, no prior context needed | ✅ | ❌ | ❌ |
| Resuming interrupted work | ✅ | ✅ | ❌ |
| Debugging a recurring issue | ✅ | ✅ | ❌ |
| Implementing against a spec/ADR | ✅ | ❌ | ✅ |
| Onboarding to unfamiliar subsystem | ✅ | ❌ | ✅ |
| Post-incident review | ✅ | ✅ | ✅ |
The default spawn prompt should include Hot tier only:
## Memory Context
### Hot (current session)
{hot_context}Add --include-cold when the task needs history:
## Memory Context
### Hot (current session)
{hot_context}
### Cold (summarized history — load on demand)
See: .squad/memory/cold/{agent-name}.mdAdd --include-wiki when the task needs domain knowledge:
## Memory Context
### Hot (current session)
{hot_context}
### Wiki (durable reference)
See: .squad/memory/wiki/{topic}.mdScribe is the proposed memory coordinator for this system. Once the runtime lands, Scribe will:
Until then, see the Scribe charter for current behavior: .squad/agents/scribe/charter.md
.squad/memory/hot/{agent}.md)--include-cold / --include-wiki flags as needed.squad/memory/wiki/.squad/memory/cold/ with rolling TTLUse this template when spawning any Squad agent. By default it loads Hot tier only. Add optional sections as needed.
{task_description}
{why_this_matters}
Paste current session context here (~2–4KB target):
Current task: {task_description}
Active decisions: {decisions_this_session}
Last actions: {last_3_to_5_actions}
Blockers: {current_blockers_or_none}
Talking to: {current_interlocutor}--include-cold)Load on demand. Do not inline unless specifically needed.
Summarized cross-session history is at:
.squad/memory/cold/{agent-name}.md
Include when:
To load cold memory, add this section and fetch the file before spawning:
## Cold Memory Summary
{contents_of_.squad/memory/cold/{agent-name}.md}--include-wiki)Load on demand. Reference specific wiki docs by path.
Wiki entries are at: .squad/memory/wiki/
Include when:
To load wiki, add this section and reference the specific doc:
## Wiki Reference
{contents_of_.squad/memory/wiki/{topic}.md}If blocked or uncertain:
© kubefleet-dev, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .github/skills/tiered-memory of kubefleet-dev/kubefleet.
Open the folder on GitHubat commit ea05fcb
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in kubefleet-dev/kubefleet, which our catalogue first saw on October 7, 2026.
Tiered Memory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tiered Memory this skillkubefleet-dev/kubefleet | 162 | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Coding Agent Session Findercode-yeongyu/oh-my-openagent | 70k | 1 repos | ~2.8k | Automated safety check: Pass | Custom licence | |
| Claude-Mem Cloud Syncthedotmack/claude-mem | 98k | 1 repos | ~1k | Automated safety check: Notes | Apache-2.0 | |
| Cognee CLI Memory Commandstopoteretes/cognee | 32k | 1 repos | ~2.2k | Automated safety check: Notes | Apache-2.0 | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Claude-Mem Searchthedotmack/claude-mem | 98k | 1 repos | ~511 | Automated safety check: Pass | Apache-2.0 |
code-yeongyu/oh-my-openagent
Finds, reads and reconstructs past coding-agent sessions across Codex, Claude, OpenCode, Senpi and many other local agent logs.
thedotmack/claude-mem
Checks claude-mem cloud sync status and guides you through connecting a cmem.ai Pro account without the sync token ever passing through the chat.
topoteretes/cognee
Drives cognee from the terminal with remember, recall, forget and improve memory commands, dataset and config management and database migrations.
KKKKhazix/khazix-skills
Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
thedotmack/claude-mem
Searches the user's persistent cross-session memory for timestamped observations synthesized from past agent sessions on cmem.ai.
gastownhall/beads
Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
kubefleet-dev/kubefleet
Coordinating work across multiple Squad instances — discovery, delegation, and disambiguation when the user says 'squad' (the product) vs casual English 'group of agents'.
kubefleet-dev/kubefleet
Max-3-cycle protocol for agent sub-tasks with WHY context and coordinator validation.
kubefleet-dev/kubefleet
Selecting WHO handles work is the Routing table; selecting HOW they handle it (Direct, Lightweight, Standard, Full) is Response Mode.
kubefleet-dev/kubefleet
Protocol for sending queries, delegating tasks, and sharing context between independent Squad instances across different repositories
kubefleet-dev/kubefleet
Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes.
kubefleet-dev/kubefleet
Squad's command catalog and interactive menu. An agent skill from kubefleet-dev/kubefleet.
Categories
Three-tier agent memory model (hot/cold/wiki) for context reduction per spawn. Tiered Memory is an agent skill from kubefleet-dev/kubefleet.
Tiered Memory fits situations like: tasks that involve Agent memory.
Run `npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a claude-code`. Or copy the skill folder (.github/skills/tiered-memory in kubefleet-dev/kubefleet) into .claude/skills/tiered-memory in your project. Claude Code loads it when a task matches its description.
Run `npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a codex`. Or copy the skill folder (.github/skills/tiered-memory in kubefleet-dev/kubefleet) into .agents/skills/tiered-memory in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kubefleet-dev/kubefleet --skill tiered-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tiered-memory, .gemini/skills/tiered-memory, .github/skills/tiered-memory and .opencode/skills/tiered-memory in your project.
SKILL.md names no scripts, command-line tools or credentials: Tiered Memory is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Tiered Memory is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tiered Memory: Coding Agent Session Finder (code-yeongyu/oh-my-openagent, 70k stars), Claude-Mem Cloud Sync (thedotmack/claude-mem, 98k stars), Cognee CLI Memory Commands (topoteretes/cognee, 32k stars) and Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
kubefleet-dev (a GitHub organization) maintains it in kubefleet-dev/kubefleet, which has 162 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 8, 2026.
Source: kubefleet-dev/kubefleet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.