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 agentskillexchange/skills --skill add-temporal-context-memory-to-agent-workflows-with-zepgit clone --depth 1 https://github.com/agentskillexchange/skillsWrote 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/agentskillexchange/skills/add-temporal-context-memory-to-agent-workflows-with-zep)<a href="https://agentmods.dev/skills/agentskillexchange/skills/add-temporal-context-memory-to-agent-workflows-with-zep"><img src="https://agentmods.dev/badge/skills/agentskillexchange/skills/add-temporal-context-memory-to-agent-workflows-with-zep/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/agentskillexchange/skills/add-temporal-context-memory-to-agent-workflows-with-zep"><img src="https://agentmods.dev/badge/skills/agentskillexchange/skills/add-temporal-context-memory-to-agent-workflows-with-zep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.00497 |
| Opus 5 | $0.00020 | $0.00249 |
| Sonnet 5 | $0.00008 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
Add temporal context memory to agent workflows with Zep 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 12d 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.
What it actually says
Add temporal context memory to agent workflows with Zep
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Prerequisites
Zep Cloud account; Python SDK zep-cloud or TypeScript SDK @getzep/zep-cloud; agent runtime such as LangChain, LlamaIndex, AutoGen, or a custom agent service
Installation
Use the upstream install or setup path that matches your environment:
- Install UV (if not already installed):
- uv sync
Requirements and caveats from upstream:
- Python: pip install zep-cloud
- This project uses UV for Python package management with workspace features.
- Python 3.13+
Basic usage or getting-started notes:
-
Visit www.getzep.com to sign up for Zep Cloud, our managed service delivering intelligent agent context with <200ms latency, enterprise-grade scalability, and SOC2 Type 2 / HIPAA compliance....
-
Zep offers comprehensive SDKs for multiple languages:
-
TypeScript/JavaScript: npm install @getzep/zep-cloud
-
Source: https://github.com/getzep/zep
-
Extracted from upstream docs: https://raw.githubusercontent.com/getzep/zep/HEAD/README.md
Documentation
Source
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.
- 12d ago First seen · 53 lines · 40 tokens per session scan A 066ef69a89ca
Add temporal context memory to agent workflows with Zep is a skill published in the GitHub repository agentskillexchange/skills (38 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 497 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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init
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memorix-sessions
Use when resuming work, preparing handoff context, binding an HTTP control-plane project, or deciding whether sessionstart is useful.
daily-journal
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Use this skill when the user wants to audit the memory and documents Claude Code loads into context — CLAUDE.md (user global + project + nested), MEMORY.md, @imports, .claude/skills, .claude/agents, .claude/commands, installed plugins — and detect four kinds of issues: outdated claims, mutually contradictory…
ijfw-handoff
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