persistent-memory
/persistent-memory
Daje agentowi trwałą pamięć między sesjami dzięki YantrikDB: ładuje kontekst na starcie i zapisuje decyzje, fakty i metody pracy. Wymaga serwera MCP yantrikdb.
- Autor
- yantrikos ↗
- Repozytorium
- yantrikdb-mcp ↗
- Licencja
- MIT
- Ostatnia zmiana repozytorium
- 24.10.2026
Ocena i bezpieczeństwo
- Pliki w paczce
- 1
- Skrypty
- 0
- Komentarze HTML
- 0
- Adresy URL w SKILL.md
- 2
Brak sygnałów. Repozytorium zmienione 24.10.2026, bez odwołań do wycofanych modeli i API.
MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.
Co robi i kiedy
Daje agentowi trwałą pamięć między sesjami dzięki YantrikDB: ładuje kontekst na starcie i zapisuje decyzje, fakty i metody pracy. Wymaga serwera MCP yantrikdb.
Oryginalny opis (EN)
Give this agent durable memory across sessions using YantrikDB. Use at the start of every session to load prior context, whenever the user or a job references past decisions, people, preferences, or earlier runs, and whenever something worth keeping is learned (a decision, a fact, a working method, a qualified lead, a benchmark result). Requires the yantrikdb MCP server to be connected.
Jak działa
- Session start — one call
- Before acting — recall, the right way
- During work — capture as you go
- Job and pipeline agents — the operator patterns
- End of substantial work — conditional
- The habit that makes it work
Podgląd SKILL.md
---
name: persistent-memory
description: >-
Give this agent durable memory across sessions using YantrikDB. Use at the
start of every session to load prior context, whenever the user or a job
references past decisions, people, preferences, or earlier runs, and
whenever something worth keeping is learned (a decision, a fact, a working
method, a qualified lead, a benchmark result). Requires the yantrikdb MCP
server to be connected.
license: MIT
metadata:
author: yantrikos
homepage: https://yantrikdb.com
source: https://github.com/yantrikos/yantrikdb-mcp
---
# Persistent memory (YantrikDB)
You have a persistent, semantic, typed memory that survives across sessions,
provided by the `yantrikdb` MCP server. It is not a notes file: it does
similarity recall, tracks belief revisions, detects contradictions, learns
procedures, and answers "what did I believe at time t". Treat it as your
long-term memory, not as optional tooling.
Tool names may carry a harness prefix (`mcp_yantrikdb_recall`,
`mcp__yantrikdb__recall`, or bare `recall`). The unprefixed names are used
below; map them to whatever your harness registered.
## Session start — one call
Call `session` with `action="digest"` once. It returns a single briefing:
narrative head, open decisions, unresolved conflicts, pending triggers, and
stale high-importance memories. Do this before answering anything
substantive; a session that starts blank when 500 memories exist is a bug,
and it is this one.
## Before acting — recall, the right way
- Query with **one short natural-language sentence** (5–10 words), not a
keyword list. Separate focused calls beat one broad one.
- For "what is the CURRENT value of X" (latest config, current owner, present
status), use `memory` with `action="chain_head"` — similarity search
returns the most-similar *revision*, which for values that change over time
is often stale. `chain_head` returns the actual current value.
- Trust signals: hits whose `why_retrieved` says "aged", "superseded", or
"rarely confirmed" are weak evidence. Prefer fresher hits, and say so if
you act on a flagged one.
- Before starting a task you may have done before, call `procedure` with
`action="surface"` — a learned method beats re-deriving one.
## During work — capture as you go
- New durable fact → `remember`. Be specific and searchable ("Client Foo
approved the March pricing tier", not "they said yes"). Set `importance`:
0.8–1.0 decisions and hard commitments, 0.5–0.7 useful context, 0.3–0.5
background. Set `domain` and `source`.
- A stored fact **changed** → `correct` with a `reason` — never a second
`remember`. This preserves history and prevents the contradiction the next
session would otherwise inherit.
- Entity relationship learned → `graph` with `action="relate"`.
- A working method discovered (a scraping recipe that got past a blocker, a
benchmark invocation that finally worked) → `procedure` with
`action="learn"`.
- Do NOT store: secrets or credentials, ephemeral task chatter, anything
derivable from the repo or files you already have. Memory is for what
would otherwise be lost when this session ends.
## Job and pipeline agents — the operator patterns
If you are a recurring job (scraper, lead-gen, benchmark, monitor) rather
than a chat companion:
- **Namespace per pipeline.** Pass `namespace="<pipeline-name>"` on every
call so runs of different jobs never pollute each other's recall.
- **Exactly-once on retries.** Harness retries duplicate writes. Pass
`idempotency_key` on `remember` — same key + same text returns the same
record instead of writing twice.
- **Dedupe against prior runs.** Before processing an item (a lead, a URL, a
test case), `recall` it. Already stored with the same outcome → skip. This
is what makes run #50 cheaper than run #1 instead of identical to it.
- **Store outcomes, not transcripts.** "example.com qualified: 200-seat firm,
hiring for data roles" is a memory. The raw scraped HTML is not.
- **Resurface on schedule.** Use `trigger` to have a memory come back at a
time or on a condition ("re-check this lead in two weeks") instead of
hoping a future run thinks of it.
## End of substantial work — conditional
Only when the session was long or changed real state: call `think` to
consolidate and surface contradictions. If it reports conflicts, resolve them
with `conflict` `action="resolve"` or ask the user — do not leave a
contradiction for the next session to trip over. Short read-only sessions
skip this.
## The habit that makes it work
Every substantive turn either **reads from** memory (recall) or **writes
to** it (remember). A turn that does neither leaves no trace, and the next
session starts closer to blank than it should. If you notice three
substantive turns without touching memory, pause and recall.
Wersje
| Repozytorium | Wynik | Licencja |
|---|---|---|
| Ta strona · yantrikos/yantrikdb-mcp | 100 | MIT |
| mthines/agent-skills | 100 | MIT |
| aws-solutions/konductor | 100 | Apache-2.0 |
Migawka bazy z 28.10.2026 · wersja paczki f7a3232de6b4 (skrót SHA-256 całej paczki)
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