Memori Long-Term Memory
MemoriLabs/Memori
Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.
Save a compact continuation checkpoint so current work survives context compaction or a later session.
$ npx skills add flonat/flonat-research --skill checkpoint -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install flonat/flonat-research checkpoint --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/flonat/flonat-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/checkpoint .claude/skills/checkpoint && 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 "checkpoint" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/checkpoint into .claude/skills/checkpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "checkpoint", 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/flonat/flonat-research/tree/main/skills/checkpointType 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 flonat/flonat-research --skill checkpoint -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install flonat/flonat-research checkpoint --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/checkpoint .agents/skills/checkpoint && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "checkpoint" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/checkpoint into .agents/skills/checkpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "checkpoint", 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 flonat/flonat-research --skill checkpoint -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install flonat/flonat-research checkpoint --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/checkpoint .cursor/skills/checkpoint && 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 "checkpoint" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/checkpoint into .cursor/skills/checkpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "checkpoint", 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/flonat/flonat-research.git --path skills/checkpoint--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 flonat/flonat-research --skill checkpoint -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install flonat/flonat-research checkpoint --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/checkpoint .gemini/skills/checkpoint && 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 "checkpoint" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/checkpoint into .gemini/skills/checkpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "checkpoint", 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 flonat/flonat-research checkpointInstalls 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 flonat/flonat-research --skill checkpoint -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/checkpoint .github/skills/checkpoint && 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 "checkpoint" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/checkpoint into .github/skills/checkpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "checkpoint", 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 flonat/flonat-research --skill checkpoint -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install flonat/flonat-research checkpoint --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/checkpoint .opencode/skills/checkpoint && 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 "checkpoint" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/checkpoint into .opencode/skills/checkpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "checkpoint", 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.
checkpointSave a compact continuation checkpoint so current work survives context compaction or a later session.
Checkpoint is an agent skill from flonat/flonat-research. Save a compact continuation checkpoint so current work survives context compaction or a later session. Use when the active context is becoming long or work must pause without changing client or machine ownership. For an explicit cross-session/client transfer, use $handoff.
Its SKILL.md is about 1000 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 Session handoff and Context engineering. The repository describes itself as: Shareable Claude Code + Codex infrastructure for PhD researchers — skills, agents, hooks, and rules for academic workflows. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit da27600. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(git*)Bash(date*)Bash(wc*)GlobFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From 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.
Checkpoint loads about 999 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 388 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 flonat/flonat-research at commit da27600, republished under its MIT licence (© flonat). 388 words, ~999 tokens.
.claude/skills/checkpoint/SKILL.md (or your agent's skills folder).Snapshot the current session's progress to a YAML file so it can be restored after context compaction or in a new session. This is NOT a session log (narrative) or context save (profile/focus) — it's a machine-readable state dump for continuity.
Collect the following from the current conversation context:
git diff --name-only if in a git repo, plus any new untracked files)Write to .planning/checkpoint.yaml in the active project directory. If no project directory is obvious, write to the Task Management root.
# Auto-generated by checkpoint — do not edit manually
created: "YYYY-MM-DDTHH:MM:SS"
session_id: "<from $CLAUDE_SESSION_ID if available>"
project: "<project directory basename>"
task: |
<one-paragraph description of what the user asked for>
files_modified:
- path: "relative/path/to/file.md"
action: "created|edited|deleted"
summary: "what was changed and why"
decisions:
- decision: "what was decided"
rationale: "why"
progress:
completed:
- "step 1 description"
- "step 2 description"
current: "what step we're on now"
next:
- "next step 1"
- "next step 2"
blocked:
- item: "what's blocked"
reason: "why"
open_questions:
- "question that needs user input"
context_files:
- "list of files that should be re-read on restore"Report to the user:
Checkpoint saved to .planning/checkpoint.yaml
- N files modified
- N decisions recorded
- Current step: [description]
- Next: [first next step]files_modified: Only files touched THIS session, not all project filesdecisions: Only non-obvious choices. Skip mechanical decisions ("used latexmk" is obvious; "chose TWFE over CS estimator" is not)context_files: List files that restore should re-read to reconstruct working context. Include CLAUDE.md, the plan file, and any files being actively editedprogress.current: Must be specific enough that restore can pick up exactly where we left offEach checkpoint invocation overwrites the previous checkpoint. There is only one active checkpoint per project. If you need history, the git log preserves it.
session-log — session logs are for humans, checkpoints are for restore© flonat, MIT. 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 skills/checkpoint of flonat/flonat-research.
Open the folder on GitHubat commit da27600
Checkpoint 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 |
|---|---|---|---|---|---|---|
| Checkpoint this skillflonat/flonat-research | 145 | — | ~999 | Automated safety check: Pass | MIT | |
| Memori Long-Term MemoryMemoriLabs/Memori | 17k | — | ~2k | Automated safety check: Notes | Custom licence | |
| Planning with FilesOthmanAdi/planning-with-files | 27k | — | ~2.9k | Automated safety check: Pass | MIT | |
| User Thoughts Memorysickn33/agentic-awesome-skills | 47k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Session Handoff Documentthedotmack/claude-mem | 97k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Planning With FilesOthmanAdi/planning-with-files | 27k | — | ~3k | Automated safety check: Pass | MIT |
MemoriLabs/Memori
Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.
OthmanAdi/planning-with-files
Keeps a task plan, findings and progress log in markdown files on disk so long agent tasks survive context resets, with Gemini hooks and helper scripts.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
thedotmack/claude-mem
Writes a HANDOFF.md capturing goal, state, files, failed attempts and next steps so a fresh agent session can continue exactly where this one stopped.
OthmanAdi/planning-with-files
Keeps a task plan, findings and progress log as Markdown files in the project so long multi-step agent work survives context resets.
10xChengTu/harness-engineering
Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases.
flonat/flonat-research
Create a large-format academic poster in LaTeX using beamerposter, tikzposter, or baposter.
flonat/flonat-research
Create, revise, and evaluate reusable AI workflow skills, including trigger-quality tests.
flonat/flonat-research
Create, read, edit, or convert Microsoft Word documents while preserving professional document structure.
flonat/flonat-research
Read, create, combine, split, rotate, OCR, watermark, secure, or extract content from PDF files.
flonat/flonat-research
Create or migrate project-level agents, repeatable project workflows, and planning state from one client-neutral contract, then render repository-scoped adapters for both Claude Code and Codex.
flonat/flonat-research
Deliver a fast pre-commit safety scan: file size, anonymity (author / affiliation strings in tex/bib), hardcoded secrets, and invisible-Unicode carriers.
Categories
Save a compact continuation checkpoint so current work survives context compaction or a later session. Checkpoint is an agent skill from flonat/flonat-research. Save a compact continuation checkpoint so current work survives context compaction or a later session.
Checkpoint fits situations like: the active context is becoming long; work must pause without changing client; machine ownership.
Run `npx skills add flonat/flonat-research --skill checkpoint -a claude-code`. Or copy the skill folder (skills/checkpoint in flonat/flonat-research) into .claude/skills/checkpoint in your project. Claude Code loads it when a task matches its description.
Run `npx skills add flonat/flonat-research --skill checkpoint -a codex`. Or copy the skill folder (skills/checkpoint in flonat/flonat-research) into .agents/skills/checkpoint 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 flonat/flonat-research --skill checkpoint -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/checkpoint, .gemini/skills/checkpoint, .github/skills/checkpoint and .opencode/skills/checkpoint in your project.
Going by SKILL.md and its folder, Checkpoint needs the command-line tools its instructions call (git). Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(git*), Bash(date*), Bash(wc*), Glob.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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.
Checkpoint is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 999 tokens (SKILL.md is roughly 4k 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 Checkpoint: Memori Long-Term Memory (MemoriLabs/Memori, 17k stars), Planning with Files (OthmanAdi/planning-with-files, 27k stars), User Thoughts Memory (sickn33/agentic-awesome-skills, 47k stars) and Session Handoff Document (thedotmack/claude-mem, 97k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
flonat (a GitHub user) maintains it in flonat/flonat-research, which has 145 GitHub stars. The repository holds 83 skills in this directory. The repository was last updated on September 29, 2026.
Source: flonat/flonat-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.