richmondalake/memorizz/memorizz-agents
Claude Code and agent skill by richmondalake/memorizz
- community
Checking that the SKILL.md file is still in the repository.
Consult the user's saved MemoRizz agents (each with its own instructions, memory and tools) through the memorizz MCP tools, or hand a bounded task to another agent harness (Codex, Claude Code, pi, Hermes) through MemoRizz. Use when the user mentions a MemoRizz agent by name, asks to "ask my <name> agent", or wants another harness's opinion or help.
Install
npx vskill@latest install richmondalake/memorizz/memorizz-agentsSKILL.md
MemoRizz agents and harnesses
Saved agents
memorizz_list_agentslists the agents this server exposes;memorizz_get_agent
and memorizz_inspect_agent describe one (instructions, memory, tools, delegates).
memorizz_execute_agentruns one turn of an agent with a message and returns
its answer. It is off unless the user enabled it (memorizz config set MEMORIZZ_MCP_SERVER_ALLOW_AGENT_EXECUTION true); if the tool says it isn't allowed, tell the user that command.
- An agent's turn uses its own model and may cost money; say which agent you
are asking and why. Quote or summarise its answer and say it came from that agent.
Other harnesses
With harness execution enabled (memorizz config set MEMORIZZ_MCP_SERVER_ALLOW_HARNESS_EXECUTION true and MEMORIZZ_MCP_SERVER_HARNESS_WORKSPACE_ROOTS set to the allowed folders), memorizz_start_harness_run runs a bounded task on Claude Code, pi, Hermes, OpenHands, Codex or a saved MemAgent, in a project folder or a fresh scratch folder. Edits, web access and model-chosen verification commands wait for the user's approval in MemoRizz. Poll memorizz_get_harness_run for the result, and memorizz_cancel_harness_run to stop it. Never start the agent you are running in (it would run inside itself).
memorizz_start_harness_comparison gives one read-only question to several harnesses at once (each on its own model with harness_models), which is useful for a second opinion on a design or a bug.
A saved agent's own memory
memorizz_list_conversations(agent_id) andmemorizz_get_conversation
read a saved agent's conversations.
memorizz_compact_conversationsummarizes and compacts one of them, and
memorizz_compile_memory turns its continual-learning events into recall material. Both change the agent's memory, so run them only when the user asks.
memorizz_query_traces(when the user enabled it with
memorizz config set MEMORIZZ_MCP_SERVER_ALLOW_TRACE_QUERIES true) shows what an agent did on a turn: model calls, tools and memory reads.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/codex/memorizz/skills/memorizz-agents/SKILL.md
Popularity
- Repository stars
- 773
- Repository forks
- 84
- 7-day trend score
- 38
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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