How should sulcus-crewai be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

sulcus-crewai answer-first brief

CrewAI integration for Sulcus thermodynamic memory. pip install sulcus-crewai Sulcus × CrewAI Shared thermodynamic memory for multi-agent CrewAI crews. Every agent in the crew reads and writes to the same Sulcus memory graph, with automatic heat propagation across agent boundaries. Install Quick Start Components Tools (for agents) | Tool | Description | |---|---| | SulcusSearchTool | Search memories by natural language query. Returns results ranked by relevance + heat. | | SulcusStoreTool | St Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

sulcus-crewai is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGITHUB REPOSSafety: 66/100

sulcus-crewai

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Digitalforgeca

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

View Source

Setup snapshot

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Digitalforgeca

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

pip install sulcus-crewai

python

from crewai import Agent, Crew, Task
from sulcus import Sulcus
from sulcus_crewai import SulcusSearchTool, SulcusStoreTool

client = Sulcus(api_key="sk-...")

# Tools — give to any agent
search = SulcusSearchTool(client=client)
store = SulcusStoreTool(client=client)

researcher = Agent(
    role="Researcher",
    tools=[search, store],
    goal="Find and store key findings",
)

writer = Agent(
    role="Writer",
    tools=[search],
    goal="Compose reports from existing research",
)

crew = Crew(agents=[researcher, writer], tasks=[...])
crew.kickoff()

python

from sulcus_crewai import SulcusSearchTool, SulcusStoreTool, SulcusContextTool

search = SulcusSearchTool(client=client)
store = SulcusStoreTool(client=client)
context = SulcusContextTool(client=client)

agent = Agent(role="Analyst", tools=[search, store, context])

python

from sulcus_crewai import SulcusStorage

storage = SulcusStorage(client=client, namespace="research-crew")

# Store findings
storage.save("market_size", "AI memory market estimated at $2.4B by 2027")

# Retrieve by semantic search
results = storage.load("market size")

# List recent
recent = storage.list_recent(limit=10)

# Filter by type
facts = storage.search_by_type("pricing", memory_type="semantic")

# Clean up
storage.forget(node_id="...")

python

client = Sulcus(
    api_key="your-key",
    server_url="http://localhost:4200",  # your Sulcus server
)

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

Sulcus × CrewAI

Shared thermodynamic memory for multi-agent CrewAI crews. Every agent in the crew reads and writes to the same Sulcus memory graph, with automatic heat propagation across agent boundaries.

Install

pip install sulcus-crewai

Quick Start

from crewai import Agent, Crew, Task
from sulcus import Sulcus
from sulcus_crewai import SulcusSearchTool, SulcusStoreTool

client = Sulcus(api_key="sk-...")

# Tools — give to any agent
search = SulcusSearchTool(client=client)
store = SulcusStoreTool(client=client)

researcher = Agent(
    role="Researcher",
    tools=[search, store],
    goal="Find and store key findings",
)

writer = Agent(
    role="Writer",
    tools=[search],
    goal="Compose reports from existing research",
)

crew = Crew(agents=[researcher, writer], tasks=[...])
crew.kickoff()

Components

Tools (for agents)

| Tool | Description | |---|---| | SulcusSearchTool | Search memories by natural language query. Returns results ranked by relevance + heat. | | SulcusStoreTool | Store a new memory with type (episodic, semantic, preference, procedural). | | SulcusContextTool | Build a structured context window from relevant memories within a token budget. |

from sulcus_crewai import SulcusSearchTool, SulcusStoreTool, SulcusContextTool

search = SulcusSearchTool(client=client)
store = SulcusStoreTool(client=client)
context = SulcusContextTool(client=client)

agent = Agent(role="Analyst", tools=[search, store, context])

Storage (crew-level shared state)

from sulcus_crewai import SulcusStorage

storage = SulcusStorage(client=client, namespace="research-crew")

# Store findings
storage.save("market_size", "AI memory market estimated at $2.4B by 2027")

# Retrieve by semantic search
results = storage.load("market size")

# List recent
recent = storage.list_recent(limit=10)

# Filter by type
facts = storage.search_by_type("pricing", memory_type="semantic")

# Clean up
storage.forget(node_id="...")

Memory Types

| Type | Use For | Decay | |---|---|---| | episodic | Events, conversations, findings | Fast (24h half-life) | | semantic | Facts, data, knowledge | Slow (30d half-life) | | preference | Opinions, settings, style | Slower (90d half-life) | | procedural | Workflows, how-tos, recipes | Slowest (180d half-life) |

How It Works

Researcher agent discovers something → calls sulcus_store → memory created in Sulcus graph
Writer agent needs context → calls sulcus_search → retrieves the researcher's findings
Next crew run → memories persist, ranked by heat (recency × frequency × relevance)
Over time → episodic findings decay; semantic facts stay; preferences are nearly permanent

All agents share one Sulcus tenant. The thermodynamic engine handles prioritization — no manual memory management needed.

Self-Hosted

client = Sulcus(
    api_key="your-key",
    server_url="http://localhost:4200",  # your Sulcus server
)

Examples

See examples/research_crew.py for a complete working example.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/snapshot"

curl -s "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/contract"

curl -s "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

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

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-16T23:41:21.850Z"
    }
  },
  "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": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Digitalforgeca",
    "href": "https://github.com/digitalforgeca/sulcus-crewai",
    "sourceUrl": "https://github.com/digitalforgeca/sulcus-crewai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:28.791Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:04:28.791Z",
    "isPublic": true
  },
  {
    "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": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-digitalforgeca-sulcus-crewai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · 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
  }
]

sulcus-crewai answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

Sulcus × CrewAI

Install

Quick Start

Components

Tools (for agents)

Storage (crew-level shared state)

Memory Types

How It Works

Self-Hosted

Examples

Links

Contract & API

Reliability & Benchmarks

Media & Demo

Related Agents