cognee:recall skillA
cognee:recall is agent-read markdown (skill) from coco-research/coco: Use when the user says 'cognee recall', 'search memory', 'what do we know about', 'find related', or 'graph search'. Runs semantic, graph, and lexical search across the Cognee knowledge graph and injects results as agent context..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# /cognee-recall — Search & Recall from Knowledge Graph
Semantic, graph-traversal, and lexical search across Cognee's knowledge graph. Finds entities, decisions, events, and their relationships — then injects relevant results as agent context for informed decision-making.
## Quick Reference
```bash
COGNEE="${COGNEE_BASE_URL:-http://localhost:8000}"
DATASET="my-project"
# Semantic search (auto-selects best strategy)
curl -s -X POST "$COGNEE/api/v1/search" \
-H "Content-Type: application/json" \
-d '{"query": "authentication decisions", "datasets": ["my-project"], "search_type": "FEELING_LUCKY", "top_k": 10}' | jq .
# Graph completion search (relationship-aware)
curl -s -X POST "$COGNEE/api/v1/search" \
-H "Content-Type: application/json" \
-d '{"query": "who reports to Alice", "datasets": ["my-project"], "search_type": "GRAPH_COMPLETION", "top_k": 10}' | jq .
# Recall with context injection (adds system prompt)
curl -s -X POST "$COGNEE/api/v1/recall" \
-H "Content-Type: application/json" \
-d '{"query": "rate limiting", "datasets": ["my-project"], "top_k": 10, "only_context": true}' | jq .
# Cross-project search
curl -s -X POST "$COGNEE/api/v1/search" \
…Read the whole file at its exact version.
How to install
mdr add coco-research/coco/cognee:recall@git:20260914.e75f220mdr add coco-research/coco/cognee:recall@sha256:f2088d66c38dc66aPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_zv3cv4dmw5usdhtw)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260914.e75f220 latest | 2026-09-14 | e75f220 | 9,542 B | A | view · diff |
| git:20260801.52b35f7 | 2026-08-01 | 52b35f7 | 9,604 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9542 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
coco-research/coco · 478 stars · license NOASSERTION · pushed 2026-09-25 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zv3cv4dmw5usdhtw GET https://markdownregistry.com/api/v1/resolve?ref=coco-research/coco/cognee:recall GET https://markdownregistry.com/api/v1/blob/f2088d66c38dc66ae386a39a157fc5cecf86043795f8ceb07e981b6ddaf07a3a
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.