Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Soulcynics404/AgentForge --skill memory-managementgit clone --depth 1 https://github.com/Soulcynics404/AgentForgeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/soulcynics404/agentforge/memory-management)<a href="https://agentmods.dev/skills/soulcynics404/agentforge/memory-management"><img src="https://agentmods.dev/badge/skills/soulcynics404/agentforge/memory-management/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/soulcynics404/agentforge/memory-management"><img src="https://agentmods.dev/badge/skills/soulcynics404/agentforge/memory-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.00787 |
| Opus 5.5 | $0.00038 | $0.00315 |
| Sonnet 5.5 | $0.00019 | $0.00157 |
| Haiku 4.5 | $0.00010 | $0.00079 |
Grade A, and why
memory-management scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to memory-management — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Management Skill
Purpose
AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management.
When to Trigger
- need to store successful patterns
- searching for similar solutions
- semantic lookup of past work
- learning from previous tasks
- sharing knowledge between agents
- building knowledge base
When to Skip
- no learning needed
- ephemeral one-off tasks
- external data sources available
- read-only exploration
Commands
Store Pattern
Store a pattern or knowledge item in memory
npx @claude-flow/cli memory store --key "[key]" --value "[value]" --namespace patterns
Example:
npx @claude-flow/cli memory store --key "auth-jwt-pattern" --value "JWT validation with refresh tokens" --namespace patterns
Semantic Search
Search memory using semantic similarity
npx @claude-flow/cli memory search --query "[search terms]" --limit 10
Example:
npx @claude-flow/cli memory search --query "authentication best practices" --limit 5
Retrieve Entry
Retrieve a specific memory entry by key
npx @claude-flow/cli memory get --key "[key]" --namespace [namespace]
Example:
npx @claude-flow/cli memory get --key "auth-jwt-pattern" --namespace patterns
List Entries
List all entries in a namespace
npx @claude-flow/cli memory list --namespace [namespace]
Example:
npx @claude-flow/cli memory list --namespace patterns --limit 20
Delete Entry
Delete a memory entry
npx @claude-flow/cli memory delete --key "[key]" --namespace [namespace]
Initialize HNSW Index
Initialize HNSW vector search index
npx @claude-flow/cli memory init --enable-hnsw
Memory Stats
Show memory usage statistics
npx @claude-flow/cli memory stats
Export Memory
Export memory to JSON
npx @claude-flow/cli memory export --output memory-backup.json
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 127 lines · 95 tokens per session scan A 57ecdd02b607
memory-management is a skill published in the GitHub repository Soulcynics404/AgentForge (1 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 787 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to memory-management, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
pinecone-research
Agent RAG and long-term memory with Pinecone.
browserwing-admin
Manage and operate BrowserWing — an intelligent browser automation platform. Install dependencies, configure LLM, create/manage/execute automation scripts, use AI-driven exploration to generate scripts, browse the script marketplace, and troubleshoot issues.
Vizra ADK Memory System
Implement persistent memory, session context, and vector memory (RAG) for AI agents.
vector-db
Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies.
karpathy-llm-wiki
Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.
local-embedding
Run embedding on-device with ONNX Runtime. Build from source, model selection, offline mode. Use when setting up local embedding without an API key.