MemPalace Memory Search
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
Explains how agentmemory is built: the iii engine it runs on, hybrid retrieval, the storage lifecycle, port layout and the web viewer.
Install agentmemory Architecture
$ npx skills add rohitg00/agentmemory --skill agentmemory-architecture -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rohitg00/agentmemory agentmemory-architecture --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/rohitg00/agentmemory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/agentmemory-architecture .claude/skills/agentmemory-architecture && 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 "agentmemory-architecture" agent skill from https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-architecture into .claude/skills/agentmemory-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentmemory-architecture", 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/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-architectureType 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 rohitg00/agentmemory --skill agentmemory-architecture -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rohitg00/agentmemory agentmemory-architecture --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/agentmemory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugin/skills/agentmemory-architecture .agents/skills/agentmemory-architecture && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agentmemory-architecture" agent skill from https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-architecture into .agents/skills/agentmemory-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentmemory-architecture", 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 rohitg00/agentmemory --skill agentmemory-architecture -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rohitg00/agentmemory agentmemory-architecture --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/agentmemory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugin/skills/agentmemory-architecture .cursor/skills/agentmemory-architecture && 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 "agentmemory-architecture" agent skill from https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-architecture into .cursor/skills/agentmemory-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentmemory-architecture", 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/rohitg00/agentmemory.git --path plugin/skills/agentmemory-architecture--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 rohitg00/agentmemory --skill agentmemory-architecture -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rohitg00/agentmemory agentmemory-architecture --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/agentmemory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugin/skills/agentmemory-architecture .gemini/skills/agentmemory-architecture && 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 "agentmemory-architecture" agent skill from https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-architecture into .gemini/skills/agentmemory-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentmemory-architecture", 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 rohitg00/agentmemory agentmemory-architectureInstalls 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 rohitg00/agentmemory --skill agentmemory-architecture -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rohitg00/agentmemory.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugin/skills/agentmemory-architecture .github/skills/agentmemory-architecture && 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 "agentmemory-architecture" agent skill from https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-architecture into .github/skills/agentmemory-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentmemory-architecture", 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 rohitg00/agentmemory --skill agentmemory-architecture -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rohitg00/agentmemory agentmemory-architecture --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/agentmemory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugin/skills/agentmemory-architecture .opencode/skills/agentmemory-architecture && 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 "agentmemory-architecture" agent skill from https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/agentmemory-architecture into .opencode/skills/agentmemory-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentmemory-architecture", 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
agentmemory-architecture- GitHub stars
- 29k
- Token cost
- ~476 tokens
- SKILL.md length
- 228 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Explains how agentmemory is built: the iii engine it runs on, hybrid retrieval, the storage lifecycle, port layout and the web viewer.
- Answering how agentmemory stores and retrieves memories end to end
- SKILL.md covers iii primitives, Retrieval model, Storage and lifecycle and Ports, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Extending agentmemory with a new function and trigger
What it does
agentmemory is a local memory server for coding agents. It captures observations, indexes them for hybrid retrieval and serves them back over REST and MCP. This reference describes it as built on the iii engine, where everything is a function, a trigger or worker state: the worker registers `mem::*` functions and `api::*` HTTP triggers, and new capability means a new function plus a trigger rather than a plugin.
Recall combines BM25 keyword search, vector similarity and graph expansion over linked concepts, and the default install needs no API key because embeddings run on-device. Memories hold content, concepts, files, importance and timestamps, grouped by session and optionally linked to commits, and a cycle of capture, compress, consolidate and forget keeps the store from growing without bound. REST is anchored at port 3111, and a web viewer at `http://localhost:3113` shows memory building during sessions.
When your agent uses it
- Answering how agentmemory stores and retrieves memories end to end
- Extending agentmemory with a new function and trigger
- Working out which ports an agentmemory instance uses
Example prompts
- “Explain how agentmemory finds a memory, from the query to the ranked result.”
- “I want to add a new capability to agentmemory. Where does it plug in?”
- “Which ports will agentmemory use if I start a second instance?”
What it can do on your machine
Read from SKILL.md and the folder at commit 007a1a7. 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
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.
Network
No URLs in SKILL.md.
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
agentmemory Architecture loads about 476 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 228 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 rohitg00/agentmemory at commit 007a1a7, republished under its Apache-2.0 licence (© rohitg00). 228 words, ~476 tokens.
Download SKILL.mdSave it as
.claude/skills/agentmemory-architecture/SKILL.md (or your agent's skills folder).- name
- agentmemory-architecture
- description
- How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.
- user-invocable
- false
agentmemory is a memory server for coding agents. It runs locally, captures observations, indexes them for hybrid retrieval, and serves them back over REST and MCP. It is built on the iii engine.
iii primitives
Everything is a function, a trigger, or worker state on the iii engine. There is no separate plugin system; the worker registers functions (mem::*) and HTTP triggers (api::*) and the engine routes calls. agentmemory does not bypass iii; new capability is a new function plus a trigger.
Retrieval model
Recall is hybrid: BM25 keyword search plus vector similarity plus graph expansion over linked concepts. The default install needs no API key because embeddings run on-device and BM25 needs none. An LLM provider only adds richer summaries and auto-injection, both opt-in.
Storage and lifecycle
Memories carry content, concepts, files, importance, and timestamps, grouped into sessions and optionally linked to commits. A lifecycle of capture, compress, consolidate, and forget keeps the store useful over time rather than letting it grow unbounded.
Ports
REST is the anchor at 3111. Streams = N+1 (3112), viewer = N+2 (3113), engine = N+46023 (49134). --instance N shifts the whole block by N*100.
Viewer
A real-time web viewer at http://localhost:3113 shows memory building as sessions run. Useful for demos and for confirming capture is working.
See also
- agentmemory-mcp-tools and agentmemory-rest-api for the surfaces.
- agentmemory-hooks for automatic capture.
- agentmemory-config for ports and feature flags.
© rohitg00, 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
Files
Just SKILL.md in plugin/skills/agentmemory-architecture of rohitg00/agentmemory.
Open the folder on GitHubat commit 007a1a7
Compare with similar skills
agentmemory Architecture 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 |
|---|---|---|---|---|---|---|
| agentmemory Architecture this skillrohitg00/agentmemory | 29k | — | ~476 | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT | |
| MemPalace Setup and OperationMemPalace/mempalace | 59k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Qmdbreferrari/obsidian-mind | 4.9k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Memori MCP Memory UsageMemoriLabs/Memori | 17k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Ourmemourmem/omem | 174 | 1 repos | ~3.4k | Automated safety check: Pass | Custom licence |
Similar skills
MemPalace Setup and Operation
MemPalace/mempalace
Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.
Qmd
breferrari/obsidian-mind
Search the vault using QMD semantic search. An agent skill from breferrari/obsidian-mind.
Memori MCP Memory Usage
MemoriLabs/Memori
Teaches an MCP-connected agent when and how to call Memori's recall, summary, compaction, augmentation, feedback and quota tools to keep context across sessions.
Ourmem
ourmem/omem
Shared memory that never forgets. An agent skill from ourmem/omem.
Agent Memory
tigerless-labs/agent-memory
Read and write the shared long-term memory store. An agent skill from tigerless-labs/agent-memory.
More from rohitg00/agentmemory
All 17 skills in this repoagentmemory Setup and Diagnostics
rohitg00/agentmemory
Sets up and troubleshoots a local agentmemory install, covering the MCP connection, environment variables, ports, authentication and optional feature flags.
Commit Context Lookup
rohitg00/agentmemory
Traces a file, function or line back to the agent session behind its current commit, using git blame and a memory lookup, and reports only what the records show.
Agent Commit History
rohitg00/agentmemory
Lists recent git commits linked to agent sessions, filterable by branch, repository or a result limit, showing the session id and observation count behind each one.
Agentmemory Forget
rohitg00/agentmemory
Deletes chosen memories from agentmemory only after showing the matches and getting an explicit yes, for privacy requests and cleanup of outdated notes.
Session Handoff Resume
rohitg00/agentmemory
Resumes the most recent agent session for the current directory, leading with any question left unanswered and ending with a concrete next step.
Lesson Memory Recorder
rohitg00/agentmemory
Distills a user correction or hard-won rule into a confidence-weighted lesson that resurfaces automatically before similar future work.
Related
Works with
Categories
Questions about agentmemory Architecture
What does agentmemory Architecture do?
Explains how agentmemory is built: the iii engine it runs on, hybrid retrieval, the storage lifecycle, port layout and the web viewer. agentmemory is a local memory server for coding agents. It captures observations, indexes them for hybrid retrieval and serves them back over REST and MCP.
When should I use agentmemory Architecture?
agentmemory Architecture fits situations like: answering how agentmemory stores and retrieves memories end to end; extending agentmemory with a new function and trigger; working out which ports an agentmemory instance uses.
How do I install agentmemory Architecture in Claude Code?
Run `npx skills add rohitg00/agentmemory --skill agentmemory-architecture -a claude-code`. Or copy the skill folder (plugin/skills/agentmemory-architecture in rohitg00/agentmemory) into .claude/skills/agentmemory-architecture in your project. Claude Code loads it when a task matches its description.
How do I install agentmemory Architecture in Codex?
Run `npx skills add rohitg00/agentmemory --skill agentmemory-architecture -a codex`. Or copy the skill folder (plugin/skills/agentmemory-architecture in rohitg00/agentmemory) into .agents/skills/agentmemory-architecture in your project. Codex loads it when a task matches its description.
Can I use agentmemory Architecture 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 rohitg00/agentmemory --skill agentmemory-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentmemory-architecture, .gemini/skills/agentmemory-architecture, .github/skills/agentmemory-architecture and .opencode/skills/agentmemory-architecture in your project.
What does agentmemory Architecture need to run?
SKILL.md names no scripts, command-line tools or credentials: agentmemory Architecture is instructions for the agent only.
Does agentmemory Architecture access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is agentmemory Architecture 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 agentmemory Architecture use?
agentmemory Architecture 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.
How many tokens does agentmemory Architecture use?
About 476 tokens (SKILL.md is roughly 1.9k 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 agentmemory Architecture?
Skills that share tags, products or a category with agentmemory Architecture: MemPalace Memory Search (MemPalace/mempalace, 59k stars), MemPalace Setup and Operation (MemPalace/mempalace, 59k stars), Qmd (breferrari/obsidian-mind, 4.9k stars) and Memori MCP Memory Usage (MemoriLabs/Memori, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains agentmemory Architecture?
rohitg00 (a GitHub user) maintains it in rohitg00/agentmemory, which has 29,222 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.
Source: rohitg00/agentmemory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.