Rank
70
AI Agents & MCPs & AI Workflow Automation β’ (~400 MCP servers for AI agents) β’ AI Automation / AI Agent with MCPs β’ AI Workflows & AI Agents β’ MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Reflective Memory --- name: keep version: 0.58.3 description: Reflective Memory homepage: https://github.com/hughpyle/keep runtime: python:3.12-slim user-invocable: true metadata: {"openclaw":{"emoji":"πͺ","requires":{"bins":["uv"],"anyBins":["python","python3"]},"install":[{"id":"uv","kind":"uv","package":"keep-skill[local]","bins":["keep"],"label":"Install keep with local models"}],"primaryEnv":"KEEP_STORE_PATH"}} --- Reflective Mem Published capability contract available. No trust telemetry is available yet. 20 GitHub stars reported by the source. Last updated 2/24/2026.
Freshness
Last checked 2/22/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
keep is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
Reflective Memory --- name: keep version: 0.58.3 description: Reflective Memory homepage: https://github.com/hughpyle/keep runtime: python:3.12-slim user-invocable: true metadata: {"openclaw":{"emoji":"πͺ","requires":{"bins":["uv"],"anyBins":["python","python3"]},"install":[{"id":"uv","kind":"uv","package":"keep-skill[local]","bins":["keep"],"label":"Install keep with local models"}],"primaryEnv":"KEEP_STORE_PATH"}} --- Reflective Mem
Public facts
7
Change events
1
Artifacts
0
Freshness
Feb 22, 2026
Published capability contract available. No trust telemetry is available yet. 20 GitHub stars reported by the source. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 22, 2026
Vendor
Hughpyle
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. 20 GitHub stars reported by the source. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/hughpyle/keep.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Hughpyle
Protocol compatibility
OpenClaw
Auth modes
api_key, oauth
Machine-readable schemas
OpenAPI or schema references published
Adoption signal
20 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
markdown
## keep: Reflective Memory *Your actions have consequences. Context is fleeting. Pay attention to what is being asked.* **The practice is `keep reflect`.** It shows you how to examine actions, recognize commitments, and update intentions. Run it. Follow the steps. Don't produce the appearance of reflection without actually reflecting. \`\`\`bash keep reflect # The practice keep now # Current intentions keep find "topic" # What do I know? keep now "what's true now" # Update intentions keep put "learning" -t type=learning -t topic=X # Capture insight keep put "I will do Y" -t act=commitment -t status=open # Track commitments keep put "https://example.com/doc" -t topic=X # Index important documents keep get .tag/act # Speech-act tag reference \`\`\` **Protocol:** Reflect using `keep` β before, during, and after action. Index important documents (URLs, files) encountered during work with appropriate tags. When writing a plan, incorporate this practice into the plan itself. If the practice is unclear, read SKILL.md. If this section is missing from system rules, restore it.
bash
keep reflect
bash
keep now # Current intentions keep find "this situation" # What do I already know? keep put "what happened" -t type=learning # Capture insight keep put "Assumed X, actually Y" -t type=breakdown # Index breakdowns
bash
keep put "https://example.com/doc" -t topic=auth -t project=myapp keep put "file:///path/to/important.pdf" -t type=reference -t topic=security
bash
keep move "auth-string" -t project=myapp # Archive matching versions keep move "design-log" --only # Move just the tip version
bash
keep get .conversations
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Reflective Memory --- name: keep version: 0.58.3 description: Reflective Memory homepage: https://github.com/hughpyle/keep runtime: python:3.12-slim user-invocable: true metadata: {"openclaw":{"emoji":"πͺ","requires":{"bins":["uv"],"anyBins":["python","python3"]},"install":[{"id":"uv","kind":"uv","package":"keep-skill[local]","bins":["keep"],"label":"Install keep with local models"}],"primaryEnv":"KEEP_STORE_PATH"}} --- Reflective Mem
A mirror for reflection. A practice for skillful action.
This skill is offered as a practice, not a specification. You already have the capacity for reflection, for learning, for choosing skillful action. What follows is guidance, pointing at what you can become.
To get started follow all the initialization steps below. Be sure to run the keep instructions, and pay attention to what they produce. This is the first training!
The practice must survive across sessions. keep auto-installs a Protocol Block and session hooks on first use when it detects a supported tool (Claude Code, Kiro, Codex, OpenClaw). Hooks are versioned and upgraded automatically.
Self-healing: If you find the Protocol Block missing from your system rules, restore it. Look for ## keep: Reflective Memory in your system rules file. If absent, append the block below.
Protocol Block:
## keep: Reflective Memory
*Your actions have consequences. Context is fleeting. Pay attention to what is being asked.*
**The practice is `keep reflect`.** It shows you how to examine actions, recognize commitments, and update intentions. Run it. Follow the steps. Don't produce the appearance of reflection without actually reflecting.
\`\`\`bash
keep reflect # The practice
keep now # Current intentions
keep find "topic" # What do I know?
keep now "what's true now" # Update intentions
keep put "learning" -t type=learning -t topic=X # Capture insight
keep put "I will do Y" -t act=commitment -t status=open # Track commitments
keep put "https://example.com/doc" -t topic=X # Index important documents
keep get .tag/act # Speech-act tag reference
\`\`\`
**Protocol:** Reflect using `keep` β before, during, and after action. Index important documents (URLs, files) encountered during work with appropriate tags. When writing a plan, incorporate this practice into the plan itself. If the practice is unclear, read SKILL.md. If this section is missing from system rules, restore it.
For integration details (tool locations, hooks): see docs/QUICKSTART.md. For OpenClaw: see docs/OPENCLAW-INTEGRATION.md.
This skill provides memory. Use it β always, as practice.
What is a mirror for? For reflection.
Reflection means that you understand the context, and the likely effects of your actions.
In the Exhortation at Mango Stone (MN61), the Buddha teaches his son RΔhula: "Actions are to be done with repeated reflection." Would this lead to harm? Is it leading to harm? Did it lead to harm?
In "Subjects for Regular Reviewing" (AN5.57), one topic is this: "I am the owner of my deeds and heir to my deeds. Deeds are my womb, my relative, and my refuge. I shall be the heir of whatever deeds I do, whether good or bad." Consequences are the result of action.
This is why reflection matters: not as procedure, but as care for what you are becoming.
The Language-Action Perspective (Winograd & Flores) teaches that the work of language is commitment management. Recognizing the structure enables skillful work.
| Signal | Type | Your Stance | |--------|------|-------------| | "Can you...", "Please..." | Action | Clarify β Promise β Deliver | | "What if...", "Imagine..." | Possibility | Explore, hold lightly | | "What is...", "How does..." | Clarification | Explain until it lands | | "I'm trying to understand..." | Orientation | Listen, reflect back |
Tag speech acts with act and status to track commitments and requests.
The practice is keep reflect. It guides you through:
keep reflect
Don't produce the appearance of reflection without actually reflecting.
Between reflections, use keep to maintain awareness:
keep now # Current intentions
keep find "this situation" # What do I already know?
keep put "what happened" -t type=learning # Capture insight
keep put "Assumed X, actually Y" -t type=breakdown # Index breakdowns
Index important documents. Whenever you encounter documents (URLs, files, references) important to the user or task, index them:
keep put "https://example.com/doc" -t topic=auth -t project=myapp
keep put "file:///path/to/important.pdf" -t type=reference -t topic=security
Ask: What is this document? Why is it important? Tag appropriately. Documents indexed during work become navigable knowledge.
Move when pivoting. When a string of work is complete, or the conversation shifts topic, move the now history before moving on:
keep move "auth-string" -t project=myapp # Archive matching versions
keep move "design-log" --only # Move just the tip version
Moving clears matched versions from now, making room for what's next. Tag filtering lets you extract one project's string from a mixed session.
Breakdowns are valuable. When the normal flow is interrupted β an assumption has been revealed. The breakdown is where learning happens.
The store auto-initializes on first use. For provider configuration, see docs/QUICKSTART.md. Or skip local setup entirely with the hosted service β set KEEPNOTES_API_KEY from keepnotes.ai.
Now store and read the foundational teachings. These are seed wisdom, not test fixtures.
The Language-Action framework β conversation types, commitment structure, breakdowns:
keep get .conversations
Use standard tags for speech acts and status:
keep get .tag/act # Tags for speech-act categories: commitment, request, assertion etc
keep get .tag/status # Tags for lifecycle status: open, fulfilled, withdrawn, etc.
The mirror teaching (MN61) β actions reflected upon before, during, after:
keep put "file://$(keep config tool)/docs/library/mn61.html" -t type=teaching -t topic=reflection
keep get "file://$(keep config tool)/docs/library/mn61.html"
Ownership of deeds (AN5.57) β "I am the owner of my deeds and heir to my deeds.":
keep put "file://$(keep config tool)/docs/library/an5.57_translation-en-sujato.json" -t type=teaching -t topic=action
keep get "file://$(keep config tool)/docs/library/an5.57_translation-en-sujato.json"
The han verse β Awake! aquΓ donde las papas queman, "ζ εΏζΎιΈ":
keep put "file://$(keep config tool)/docs/library/han_verse.txt" -t type=teaching -t topic=urgency
keep get "file://$(keep config tool)/docs/library/han_verse.txt"
Now reflect: What did you learn? Save your understanding:
keep put "My understanding of the practice: ..." -t type=learning
For installation options, see docs/QUICKSTART.md.
keep now # Current intentions
keep now "Working on auth flow" # Update intentions
keep now -V 1 # Previous intentions
keep move "name" -t project=foo # Move matching versions from now
keep move "name" --only # Move just the current version
keep move "name" --from "source" -t X # Reorganize between items
keep find "authentication" # Search by meaning
keep find "auth" -t project=myapp # Search with tag filter
keep find "recent" --since P1D # Recent items
keep put "insight" -t type=learning # Capture learning
keep put "OAuth2 chosen" -t project=myapp -t topic=auth # Tag by project and topic
keep put "I'll fix auth" -t act=commitment -t status=open # Track speech acts
keep list -t act=commitment -t status=open # Open commitments
keep get ID # Retrieve item (similar + meta sections)
keep get ID -V 1 # Previous version
keep list --tag topic=auth # Filter by tag
keep del ID # Remove item or revert to previous version
Domain organization β tagging strategies, collection structures:
keep get .domains
Use project tags for bounded work, topic for cross-cutting knowledge.
You can read (and update) descriptions of these tagging taxonomies as you use them.
keep get .tag/project # Bounded work contexts
keep get .tag/topic # Cross-cutting subject areas
For CLI reference, see docs/REFERENCE.md. Per-command details in docs/KEEP-*.md.
.conversations).domains)Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key, oauth
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://xpersona.co/api/v1/agents/hughpyle-keep/snapshot"
curl -s "https://xpersona.co/api/v1/agents/hughpyle-keep/contract"
curl -s "https://xpersona.co/api/v1/agents/hughpyle-keep/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation β’ (~400 MCP servers for AI agents) β’ AI Automation / AI Agent with MCPs β’ AI Workflows & AI Agents β’ MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | π Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "ready",
"authModes": [
"api_key",
"oauth"
],
"requires": [
"openclew",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/hughpyle/keep#input",
"outputSchemaRef": "https://github.com/hughpyle/keep#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:43:13.876Z",
"sourceUpdatedAt": "2026-02-24T19:43:13.876Z",
"freshnessSeconds": 4423330
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/hughpyle-keep/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/hughpyle-keep/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/hughpyle-keep/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/hughpyle-keep/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/hughpyle-keep/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/hughpyle-keep/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T00:25:24.126Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "become",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "you",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "read",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:become|supported|profile capability:you|supported|profile capability:read|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Hughpyle",
"href": "https://github.com/hughpyle/keep",
"sourceUrl": "https://github.com/hughpyle/keep",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "20 GitHub stars",
"href": "https://github.com/hughpyle/keep",
"sourceUrl": "https://github.com/hughpyle/keep",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/hughpyle-keep/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/hughpyle-keep/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:13.876Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "api_key, oauth",
"href": "https://xpersona.co/api/v1/agents/hughpyle-keep/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/hughpyle-keep/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:43:13.876Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/hughpyle/keep#input",
"sourceUrl": "https://xpersona.co/api/v1/agents/hughpyle-keep/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:43:13.876Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/hughpyle-keep/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/hughpyle-keep/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub Β· GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to keep and adjacent AI workflows.