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.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
Install Agent Memory
$ npx skills add sickn33/agentic-awesome-skills --skill agent-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills agent-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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-memory .claude/skills/agent-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 "agent-memory" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agent-memory into .claude/skills/agent-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-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/sickn33/agentic-awesome-skills/tree/main/skills/agent-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 sickn33/agentic-awesome-skills --skill agent-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills agent-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agent-memory .agents/skills/agent-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 "agent-memory" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agent-memory into .agents/skills/agent-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-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 sickn33/agentic-awesome-skills --skill agent-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills agent-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agent-memory .cursor/skills/agent-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 "agent-memory" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agent-memory into .cursor/skills/agent-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-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/sickn33/agentic-awesome-skills.git --path skills/agent-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 sickn33/agentic-awesome-skills --skill agent-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills agent-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agent-memory .gemini/skills/agent-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 "agent-memory" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agent-memory into .gemini/skills/agent-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-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 sickn33/agentic-awesome-skills agent-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 sickn33/agentic-awesome-skills --skill agent-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agent-memory .github/skills/agent-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 "agent-memory" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agent-memory into .github/skills/agent-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-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 sickn33/agentic-awesome-skills --skill agent-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 sickn33/agentic-awesome-skills agent-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agent-memory .opencode/skills/agent-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 "agent-memory" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agent-memory into .opencode/skills/agent-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-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.
Facts
- Skill name
agent-memory- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~783 tokens
- SKILL.md length
- 329 words
- Files
- 1
- Skills in repo
- 1,354
- Repo updated
- First seen
- Licence
- MIT
At a glance
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
- Works in 3 steps: Install Dependencies → Build the Project → Start the Memory Server
- Tasks that involve Agent memory
- SKILL.md covers When to Use, Prerequisites, Setup and Capabilities (MCP Tools), plus 3 more sections
- Calls npm
What it does
Agent Memory is an agent skill from sickn33/agentic-awesome-skills. A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
Its SKILL.md is about 780 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: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve Agent memory
Example prompts
- “/agent-memory”
Requirements
- Node.js
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Install Dependencies
- Build the Project
- Start the Memory Server
What it can do on your machine
Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agent Memory loads about 783 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 329 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 329 words, ~783 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-memory/SKILL.md (or your agent's skills folder).- name
- agent-memory
- description
- A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
- risk
- critical
- source
- https://github.com/webzler/agentMemory/tree/main/
- source_repo
- webzler/agentMemory
- source_type
- community
- date_added
- 2026-07-01
- license
- MIT
- license_source
- https://github.com/webzler/agentMemory/blob/main/LICENSE
agentMemory Skill
When to Use
Use this skill when you need a hybrid memory system that provides persistent, searchable knowledge management for AI agents.
This skill extends your capabilities by providing a persistent, searchable memory bank that automatically syncs with project documentation.
Prerequisites
- Node.js installed
- Check if
agentMemoryis already installed in the project:bash ls -la .agentMemory
Setup
Install Dependencies:
bash npm installBuild the Project:
bash npm run compileStart the Memory Server: You need to run the MCP server to interact with the memory bank.
bash npm run start-server <project_id> <absolute_path_to_workspace>Note: This skill typically runs as a background process or via an mcp-server configuration. ensuring it is running is key.
Capabilities (MCP Tools)
Once the server is running, you can use these tools:
memory_search
Search for memories by query, type, or tags.
- Args:
query(string),type?(string),tags?(string[]) - Usage: "Find all authentication patterns" ->
memory_search({ query: "authentication", type: "pattern" })
memory_write
Record new knowledge or decisions.
- Args:
key(string),type(string),content(string),tags?(string[]) - Usage: "Save this architecture decision" ->
memory_write({ key: "auth-v1", type: "decision", content: "..." })
memory_read
Retrieve specific memory content by key.
- Args:
key(string) - Usage: "Get the auth design" ->
memory_read({ key: "auth-v1" })
memory_stats
View analytics on memory usage.
- Usage: "Show memory statistics" ->
memory_stats({})
Workflow
- Initialization: The first time you run this in a project, it may attempt to import existing markdown memory banks from
.kilocode/,.clinerules/, or.roo/. - Development Loop:
- Before Task: Search memory for relevant context.
- During Task: Use read/search to answer questions.
- After Task: Write new findings to memory.
- Sync: Your writes are automatically synced to standard markdown files in the project.
Example
User request:
Use @agent-memory for this task: A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
Limitations
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/agent-memory of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit ec02547
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Agent 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 |
|---|---|---|---|---|---|---|
| Agent Memory this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~783 | Automated safety check: Pass | MIT | |
| 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 |
Similar skills
Claude-Mem Cloud Sync
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.
Cognee CLI Memory Commands
topoteretes/cognee
Drives cognee from the terminal with remember, recall, forget and improve memory commands, dataset and config management and database migrations.
Neat-Freak Knowledge Closeout
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.
Claude-Mem Search
thedotmack/claude-mem
Searches the user's persistent cross-session memory for timestamped observations synthesized from past agent sessions on cmem.ai.
Beads Task Memory
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.
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Related
Categories
Questions about Agent Memory
What does Agent Memory do?
A hybrid memory system that provides persistent, searchable knowledge management for AI agents. Agent Memory is an agent skill from sickn33/agentic-awesome-skills. A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
When should I use Agent Memory?
Agent Memory fits situations like: tasks that involve Agent memory.
How do I install Agent Memory in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill agent-memory -a claude-code`. Or copy the skill folder (skills/agent-memory in sickn33/agentic-awesome-skills) into .claude/skills/agent-memory in your project. Claude Code loads it when a task matches its description.
How do I install Agent Memory in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill agent-memory -a codex`. Or copy the skill folder (skills/agent-memory in sickn33/agentic-awesome-skills) into .agents/skills/agent-memory in your project. Codex loads it when a task matches its description.
Can I use Agent Memory in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill agent-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/agent-memory, .gemini/skills/agent-memory, .github/skills/agent-memory and .opencode/skills/agent-memory in your project.
What does Agent Memory need to run?
Going by SKILL.md and its folder, Agent Memory needs the command-line tools its instructions call (npm). Our summary lists: Node.js.
Does Agent Memory access the network?
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Agent Memory safe to install?
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.
What licence does Agent Memory use?
Agent Memory is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Memory use?
About 783 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Agent Memory?
Skills that share tags, products or a category with Agent 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.
Who maintains Agent Memory?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.