memory-recall
Skill22 starsChanged 6 months agoApache-2.0View on GitHub
Search across all structured memory files. Default backend: BM25 scoring with Porter stemming and domain-aware query expansion. Optional: graph-based cross-reference boosting (--graph). Optional: vector/embedding backend (configure in mind-mem.json). Returns ranked results with block ID, type, score, excerpt, and file path.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- kriscard/Skillstheir own version, first seen Oct 28, 2026
- opensite-ai/opensite-skillstheir own version, first seen Oct 13, 2026
- cerebrocybersolutions/librotheir own version, first seen Oct 4, 2026
- haraldalder-vibemogger/project-memorytheir own version, first seen Sep 26, 2026
- NITISH-R-G/agent-memory-protocoltheir own version, first seen Aug 1, 2026
- OpenCoven/coventheir own version, first seen Jul 22, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- OpenCoven/coven★ 75same name
- kriscard/Skills★ 15same name
- opensite-ai/opensite-skills★ 15same name
- haraldalder-vibemogger/project-memory★ 2same name
- cerebrocybersolutions/libro★ 1same name
- NITISH-R-G/agent-memory-protocol★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- mind-mem-developmentSkill
- apply-proposalSkill
- integrity-scanSkill
- mind-memSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 3
Search across all structured memory files.
- Distinctive: line 6
Before making decisions (check if a similar decision already exists)
- Distinctive: line 7
When asked about past events, decisions, or tasks
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/recall — Memory Search
Search across all structured memory files. Default backend: BM25 scoring with Porter stemming and domain-aware query expansion. Optional: graph-based cross-reference boosting (--graph). Optional: vector/embedding backend (configure in mind-mem.json). Returns ranked results with block ID, type, score, excerpt, and file path.
When to Use
- Before making decisions (check if a similar decision already exists)
- When asked about past events, decisions, or tasks
- To find related context for a current problem
- To check what's known about a person, project, or tool
- To explore connections between decisions and tasks (
--graph)
How to Run
Basic Search
python3 maintenance/recall.py --query "authentication" --workspace "${MIND_MEM_WORKSPACE:-.}"Graph-Boosted Search (cross-reference neighbor discovery)
python3 maintenance/recall.py --query "database" --graph --workspace "${MIND_MEM_WORKSPACE:-.}"JSON Output (for programmatic use)
python3 maintenance/recall.py --query "auth" --workspace "${MIND_MEM_WORKSPACE:-.}" --json --limit 5Active Items Only
python3 maintenance/recall.py --query "deadline" --workspace "${MIND_MEM_WORKSPACE:-.}" --active-onlyWhat It Searches
decisions/DECISIONS.md— All decisionstasks/TASKS.md— All tasksentities/projects.md— Projectsentities/people.md— Peopleentities/tools.md— Toolsentities/incidents.md— Incidentsintelligence/CONTRADICTIONS.md— Known contradictionsintelligence/DRIFT.md— Drift detectionsintelligence/SIGNALS.md— Captured signals
Scoring
Results are ranked by BM25 relevance (k1=1.2, b=0.75) with:
- Stemming — "queries" matches "query", "deployed" matches "deployment"
- Query expansion — "auth" expands to include "authentication", "login", "oauth", "jwt"
- Recency — Recent items score higher
- Active status — Active items get 1.2x boost
- Priority — P0/P1 items get 1.1x boost
- Graph neighbors — With
--graph, blocks connected via cross-references to keyword matches get a 0.3x boost (tagged[graph]in output)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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- It worked
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.