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MCPOPENCLAW
Crawler Summary
engram-crewai answer-first brief
CrewAI integration for Engram — durable shared memory tools for multi-agent crews. engram-crewai $1 integration for $1 — durable shared memory for multi-agent crews. Returns two CrewAI BaseTool instances (engram_store_memory, engram_query_memory) bound to a single Engram bucket that every agent in the crew can read from and write to. The crew's accumulated knowledge survives across runs, processes, and machines. Install Vendor engram_crewai.py from this repo (~60 LOC). PyPI release coming. Get an E Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
engram-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
Agent DossierGITHUB REPOSSafety: 66/100
engram-crewai
CrewAI integration for Engram — durable shared memory tools for multi-agent crews. engram-crewai $1 integration for $1 — durable shared memory for multi-agent crews. Returns two CrewAI BaseTool instances (engram_store_memory, engram_query_memory) bound to a single Engram bucket that every agent in the crew can read from and write to. The crew's accumulated knowledge survives across runs, processes, and machines. Install Vendor engram_crewai.py from this repo (~60 LOC). PyPI release coming. Get an E
OpenClawself-declared
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Verifiededitorial-contentNo verified compatibility signals
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust evidence available
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Lumetra Io
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
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.
Vendor (1)
Vendor
Lumetra Io
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
3
Snippets
0
Languages
python
Executable Examples
bash
pip install lumetra-engram crewai
bash
export ENGRAM_API_KEY="eng_live_..."
python
from crewai import Agent, Crew, Task
from engram_crewai import engram_tools
tools = engram_tools(bucket="my-crew")
researcher = Agent(
role="Researcher",
goal="Investigate topics and remember findings for the rest of the crew.",
backstory="You are a careful researcher who never forgets a fact.",
tools=tools,
)
writer = Agent(
role="Writer",
goal="Synthesize findings into briefs. Consult Engram for context before writing.",
backstory="...",
tools=tools,
)
crew = Crew(agents=[researcher, writer], tasks=[...])
crew.kickoff()Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
CrewAI integration for Engram — durable shared memory tools for multi-agent crews. engram-crewai $1 integration for $1 — durable shared memory for multi-agent crews. Returns two CrewAI BaseTool instances (engram_store_memory, engram_query_memory) bound to a single Engram bucket that every agent in the crew can read from and write to. The crew's accumulated knowledge survives across runs, processes, and machines. Install Vendor engram_crewai.py from this repo (~60 LOC). PyPI release coming. Get an E
Full README
engram-crewai
CrewAI integration for Engram — durable shared memory for multi-agent crews.
Returns two CrewAI BaseTool instances (engram_store_memory, engram_query_memory) bound to a single Engram bucket that every agent in the crew can read from and write to. The crew's accumulated knowledge survives across runs, processes, and machines.
Install
pip install lumetra-engram crewai
Vendor engram_crewai.py from this repo (~60 LOC). PyPI release coming.
export ENGRAM_API_KEY="eng_live_..."
Get an Engram API key
Sign up at https://lumetra.io — free tier, no card. You'll see an eng_live_… token in your dashboard.
Don't forget BYOK — Engram is bring-your-own-key end-to-end for the LLM that does extraction + synthesis. Configure a provider at https://lumetra.io/models. DeepSeek is what we recommend. Without one, store/query returns HTTP 412.
Usage
from crewai import Agent, Crew, Task
from engram_crewai import engram_tools
tools = engram_tools(bucket="my-crew")
researcher = Agent(
role="Researcher",
goal="Investigate topics and remember findings for the rest of the crew.",
backstory="You are a careful researcher who never forgets a fact.",
tools=tools,
)
writer = Agent(
role="Writer",
goal="Synthesize findings into briefs. Consult Engram for context before writing.",
backstory="...",
tools=tools,
)
crew = Crew(agents=[researcher, writer], tasks=[...])
crew.kickoff()
Both agents now have:
engram_store_memory(content)— save an atomic fact to the shared bucket.engram_query_memory(question)— hybrid retrieval + synthesized answer over everything the crew has stored so far.
Why this beats CrewAI's built-in memory
- Multi-tenant and cross-machine by default. CrewAI's built-in memory (
memory=True) persists locally to ChromaDB + SQLite under./.crewai/memory, but it's tied to that machine's disk and has no tenant isolation. Engram is a hosted service with per-bucket scoping, so the same crew can run on a laptop today, a CI runner tomorrow, and a fleet of workers next week against one shared memory layer. - Shared across agents in the crew. Engram is the team's institutional memory, not a per-agent scratchpad.
- Hybrid retrieval — BM25 + vector + knowledge graph fusion, not vector-only.
- Bring-your-own-LLM for extraction and synthesis (https://lumetra.io/models).
- Per-crew buckets — pass
bucket=f"crew-{project_id}"and isolation is automatic.
Verified
Smoke-tested against live api.lumetra.io — three facts stored to a shared bucket via the engram_store_memory tool, then a engram_query_memory call asked a question whose answer required combining two of them. Engram returned a single synthesized answer that fused both source memories, and the explanation trace cited each.
License
MIT — Lumetra
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
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://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/trust"
Reliability & Benchmarks
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
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.
No screenshots, media assets, or demo links are available.
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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://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-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": "2026-10-10T02:05:31.205Z"
}
},
"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": "Lumetra Io",
"href": "https://github.com/lumetra-io/engram-crewai",
"sourceUrl": "https://github.com/lumetra-io/engram-crewai",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T21:09:33.519Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T21:09:33.519Z",
"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://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-crewai/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-lumetra-io-engram-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
}
]