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 LameGz/synapse-graph-skills --skill synapse-graph-memorygit clone --depth 1 https://github.com/LameGz/synapse-graph-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/lamegz/synapse-graph-skills/synapse-graph-memory)<a href="https://agentmods.dev/skills/lamegz/synapse-graph-skills/synapse-graph-memory"><img src="https://agentmods.dev/badge/skills/lamegz/synapse-graph-skills/synapse-graph-memory/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/lamegz/synapse-graph-skills/synapse-graph-memory"><img src="https://agentmods.dev/badge/skills/lamegz/synapse-graph-skills/synapse-graph-memory.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 | $0.00175 | $0.03375 |
| Opus 5.5 | $0.00070 | $0.01350 |
| Sonnet 5.5 | $0.00035 | $0.00675 |
| Haiku 4.5 | $0.00017 | $0.00337 |
Grade A, and why
synapse-graph-memory 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.
How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synapse Graph Memory
Overview
Partitioned context loading via graph topology with progressive disclosure. Each Markdown node declares cross-module dependencies in frontmatter and a one-line summary for rapid triage. Three-layer retrieval:
- Layer 1: Read MEMORY_MAP summaries — triage without commitment (~200-500 tok)
- Layer 2: Read full target node(s) — load only after confirming relevance
- Layer 3: Bounded BFS deps (depth ≤ 2, width ≤ 5) — expand only when necessary
Three CS primitives: inverted index (MEMORY_MAP for O(1) lookup), normalization (domain-split nodes), foreign-key references (depends_on edges for deterministic traversal, not vector similarity).
For the full node specification, critical rules, and common mistakes, see references/ — they are loaded on demand, not by default.
Quick Reference
| Action | Rule |
|---|---|
| Vague status / progress | Read ## Status Digest or ## Progress Summary in MEMORY_MAP.md |
| Find nodes for topic | Read MEMORY_MAP.md, match tags → aliases → keywords |
| Load memory for task | Layer 1 MAP → Layer 2 target node → Layer 3 bounded BFS (depth≤2, width≤5) |
| Compound time+domain query | Filtered BFS: decompose query → tag + date filter + section locate |
| Check downstream impact | Read blocks field in MEMORY_MAP.md before modifying any module |
| Natural-language memory write | synapse_note.sh --text "..." (one command: ingest → suggest → apply → rebuild → doctor) |
| Review queued memory | memory_inbox.py list --project <path> then memory_inbox.py apply --project <path> |
| Resume project context | project_resume.py --project <path> (MAP-first project recovery) |
| Rebuild index | Auto-run by session-end hook; manual full rebuild: generate_memory_map.sh --full; changed-node fast path: generate_memory_map.sh --changed <node>.md |
| Health check | doctor.sh — validates frontmatter, dead links, orphans, oversized nodes |
| Initialize project | init.sh — auto-detect stack, generate skeleton nodes |
What ships with it
48 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.
- assets/settings.template.json 859 B
- assets/template.md 6.0 KB
- evals/evals.json 8.3 KB
- examples/solo-saas/MEMORY_MAP.json 5.1 KB
- examples/solo-saas/MEMORY_MAP.md 14 KB
- examples/solo-saas/meta/feat_admin-notification.md 846 B
- examples/solo-saas/meta/feat_login.md 949 B
- examples/solo-saas/meta/feat_subscription.md 969 B
- examples/solo-saas/meta/mod_auth-api.md 918 B
- examples/solo-saas/meta/mod_payment.md 887 B
- examples/solo-saas/meta/mod_user-account.md 905 B
- examples/solo-saas/package.json 130 B
- examples/solo-saas/prisma/schema.prisma 187 B
- examples/solo-saas/src/auth/routes.ts 105 B runs code
- examples/solo-saas/src/pages/login.tsx 88 B
- examples/solo-saas/src/payment/routes.ts 77 B runs code
- references/common-mistakes.md 2.1 KB
- references/critical-rules.md 6.3 KB
- references/fullstack-node-spec.md 4.6 KB
- references/node-spec.md 4.8 KB
- scripts/apply_memory_proposal.py 9.4 KB runs code
- scripts/auto_observe.py 14 KB runs code
- scripts/benchmark.sh 20 KB runs code
- scripts/db_index.py 5.9 KB runs code
- scripts/db_init.py 3.5 KB runs code
- scripts/demo_solo_saas.sh 1.9 KB runs code
- scripts/doctor.sh 6.2 KB runs code
- scripts/generate_memory_map.py 19 KB runs code
- scripts/generate_memory_map.sh 47 KB runs code
- scripts/hooks/post-tool-use.sh 4.3 KB runs code
- scripts/hooks/pre-modify-check.sh 6.0 KB runs code
- scripts/hooks/pre-read-check.sh 2.9 KB runs code
- scripts/hooks/session-end.sh 18 KB runs code
- scripts/ingest_memory.py 7.5 KB runs code
- scripts/init.sh 23 KB runs code
- scripts/memory_inbox.py 8.8 KB runs code
- scripts/parse-session.sh 14 KB runs code
- scripts/prefetch_context.py 7.4 KB runs code
- scripts/project_resume.py 4.7 KB runs code
- scripts/query_timeline.sh 8.1 KB runs code
- scripts/release_check.sh 2.3 KB runs code
- scripts/session_memory.py 3.3 KB runs code
- scripts/source_scan.py 10 KB runs code
- scripts/suggest_edges.py 5.9 KB runs code
- scripts/suggest_edges.sh 18 KB runs code
- scripts/synapse_note.sh 5.0 KB runs code
- scripts/visualize.py 1.6 KB runs code
- scripts/watch.sh 3.7 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.
- 1mo ago First seen · 276 lines · 175 tokens per session scan A 44f3c22ae2d3
synapse-graph-memory is a skill published in the GitHub repository LameGz/synapse-graph-skills (11 stars, last pushed 12d ago), licensed MIT. It adds 175 tokens to every session and 3,375 once invoked, about $0.0007 per session on Opus 5.5. 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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