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 vaibhav0806/maximem_synap_sdk --skill synap-codexgit clone --depth 1 https://github.com/vaibhav0806/maximem_synap_sdkWrote 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/vaibhav0806/maximem_synap_sdk/synap-codex)<a href="https://agentmods.dev/skills/vaibhav0806/maximem_synap_sdk/synap-codex"><img src="https://agentmods.dev/badge/skills/vaibhav0806/maximem_synap_sdk/synap-codex.svg" alt="Measured on agentmods" 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 | $0.00254 | $0.01573 |
| Opus 5 | $0.00127 | $0.00787 |
| Sonnet 5 | $0.00051 | $0.00315 |
| Haiku 4.5 | $0.00025 | $0.00157 |
Grade A, and why
synap-codex scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Four fetch interfaces — match retrieval to the scope you ingested at:** `sdk.user.context.fetch(user_id=...)`, `sdk.customer.context.fetch(customer_id=...)`, `sdk.client.context.fetch()`, `sdk.conversation.context.fe This is a copy
91% identical to synap — 12 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maximem Synap — Agent Memory Skill (Codex)
Synap is a managed memory layer for AI agents: it ingests conversations/documents, extracts structured knowledge (facts, preferences, episodes, entities), and serves ranked, scope-aware context back at retrieval time. No vector DB to run, no retrieval pipeline to build.
This is the Codex edition. The integration knowledge — reference/, scripts/, examples/ — is byte-for-byte identical to the Claude Code skill; only this manifest and AGENTS.md differ. Read only the reference files you actually need.
Sandbox & approvals (read first)
This skill does real work in the user's repo, so the procedure needs capabilities Codex gates behind approval. State what you need before you start; don't assume silent execution:
- Network access — to
pip install maximem-synap/npm install @maximem/synap-js-sdkand the framework package, and for the SDK to reach Synap Cloud at runtime. - File writes — to add integration code and (if missing) a git-ignored
.env. - A secret — the
synap_...API key. Ask the user to provide it; never print it back or commit it.
If running with restricted network/filesystem, tell the user which commands to run themselves.
Procedure — the order to do this in
There is no CLI. Provisioning happens by hand in the dashboard; the SDK only uses a key that already exists. Do not skip the PAUSE.
- Detect the stack. Identify the user's framework (or "custom"). This selects which
reference/frameworks/<name>.mdto follow — seereference/frameworks/_index.md. - Provision in the dashboard (manual). Walk the user through
reference/dashboard-setup.md: sign up → create Client → create Instance (+ upload a use-case.md, seereference/use-case-markdown.md) → set B2C/B2B → generate an API key. - ⏸ PAUSE. Ask the user to paste their
synap_...key (or set it themselves), thenexport SYNAP_API_KEY=synap_.... Do not write integration code before the key is set. - Install. The SDK + the framework package (needs network + approval — see "Sandbox & approvals"). Details in
reference/sdk-setup.md. - Integrate. Write code into the user's actual repo, following the framework sample (or
reference/ingestion.md+reference/context-fetch.mdfor a custom stack). - Verify. Run
python scripts/verify_synap.py. Never report done without a green run.
What ships with it
34 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.
- AGENTS.md 2.1 KB
- examples/multi-tenant-scoping.md 4.8 KB
- examples/python-minimal.py 2.3 KB runs code
- examples/typescript-minimal.ts 3.4 KB runs code
- README.md 2.4 KB
- reference/context-fetch.md 6.0 KB
- reference/core-concepts.md 6.8 KB
- reference/dashboard-setup.md 2.8 KB
- reference/discovery.md 4.8 KB
- reference/frameworks/_index.md 2.9 KB
- reference/frameworks/agno.md 1.7 KB
- reference/frameworks/autogen.md 1.7 KB
- reference/frameworks/claude-agent.md 4.2 KB
- reference/frameworks/crewai.md 1.5 KB
- reference/frameworks/google-adk.md 1.6 KB
- reference/frameworks/haystack.md 2.9 KB
- reference/frameworks/langchain.md 3.5 KB
- reference/frameworks/langgraph.md 2.6 KB
- reference/frameworks/livekit-agents.md 3.3 KB
- reference/frameworks/llamaindex.md 1.8 KB
- reference/frameworks/mastra.md 3.7 KB
- reference/frameworks/mcp.md 2.8 KB
- reference/frameworks/microsoft-agent.md 2.2 KB
- reference/frameworks/nemo-agent-toolkit.md 2.4 KB
- reference/frameworks/openai-agents.md 2.1 KB
- reference/frameworks/pipecat.md 2.7 KB
- reference/frameworks/pydantic-ai.md 1.7 KB
- reference/frameworks/semantic-kernel.md 2.0 KB
- reference/frameworks/vercel-adk.md 3.5 KB
- reference/ingestion.md 5.6 KB
- reference/production.md 5.6 KB
- reference/sdk-setup.md 7.9 KB
- reference/use-case-markdown.md 2.4 KB
- scripts/verify_synap.py 2.5 KB runs code
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.
- 7d ago First seen · 64 lines · 254 tokens per session scan A 6af1b47c8664
synap-codex is a skill published in the GitHub repository vaibhav0806/maximem_synap_sdk (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 254 tokens to every session and 1,573 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to synap, differing in 12 lines, and is treated as a copy.
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