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 Trapezohe/Anamnesis --skill anamnesis-memorygit clone --depth 1 https://github.com/Trapezohe/AnamnesisWrote 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/trapezohe/anamnesis/anamnesis-memory)<a href="https://agentmods.dev/skills/trapezohe/anamnesis/anamnesis-memory"><img src="https://agentmods.dev/badge/skills/trapezohe/anamnesis/anamnesis-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/trapezohe/anamnesis/anamnesis-memory"><img src="https://agentmods.dev/badge/skills/trapezohe/anamnesis/anamnesis-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 | $0.00061 | $0.00659 |
| Opus 5 | $0.00030 | $0.00329 |
| Sonnet 5 | $0.00012 | $0.00132 |
| Haiku 4.5 | $0.00006 | $0.00066 |
Grade A, and why
anamnesis-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 9d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anamnesis Memory Protocol
You have access to Anamnesis through MCP. Anamnesis imports and normalizes memory from existing agents, frameworks, local stores, and registered MCP resources.
Use it to recover context that may already exist outside this session.
Decide: search or skip
Search Anamnesis when the user:
- asks about previous decisions, conventions, preferences, or project history
- says "we decided", "last time", "remember", "same as before", or similar
- starts non-trivial work in a known project
- asks for debugging, refactoring, architecture, migration, or tool setup help
- needs cross-agent continuity between Codex, Claude Code, mem0, Letta, Hermes, OpenClaw, or another registered source
Skip Anamnesis when:
- the prompt is a trivial acknowledgement or continuation
- the answer is purely syntactic or general knowledge
- you already searched the relevant scope in this turn
- the user is only providing new information and not asking for recall
Empty results are normal. Continue without memory instead of inventing context.
Search well
Prefer 2-4 targeted search_memories calls over one sentence-length query.
Good query shapes:
project architecture decisionstest conventionsuser coding preferencesauth refactor failures
Use filters when the scope is obvious:
source: one adapter such ascodex,claude-code,mem0,letta,hermes,openclawkind:fact,preference,feedback,reference,episode,skill,unknownscope:user,project,session,ephemeralsince/until: RFC3339 timestamps when recency matters
Verify provenance
When a memory affects a high-impact decision, call trace_provenance with the record_id or chunk_id returned by search_memories. Prefer memories with clear source, native path, timestamps, and content.
Use get_record when you need the full normalized record.
Use list_sources or doctor when:
- search returns nothing but the user expected memories to exist
- you need to know which sources are registered
- you suspect a source is stale or unhealthy
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.
- 9d ago First seen · 72 lines · 61 tokens per session scan A 4494e1e6dea8
anamnesis-memory is a skill published in the GitHub repository Trapezohe/Anamnesis (188 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 61 tokens to every session and 659 once invoked, about $0.0003 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.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.