Crawler Summary

memanto-crewai-memory-bounty answer-first brief

CrewAI + Memanto long-term memory demo for bounty #37 CrewAI + Memanto Long-Term Memory Demo Bounty submission for moorcheh-ai/memanto#37. This repo shows a small multi-agent CrewAI-style workflow where a **Research Agent** stores durable project facts in Memanto-compatible memory and a later **Writer Agent** recalls them in a separate run. It also demonstrates contradiction handling: a stale preference is superseded by a newer fact. What this demonstrates - Research ou Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

memanto-crewai-memory-bounty 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

memanto-crewai-memory-bounty

CrewAI + Memanto long-term memory demo for bounty #37 CrewAI + Memanto Long-Term Memory Demo Bounty submission for moorcheh-ai/memanto#37. This repo shows a small multi-agent CrewAI-style workflow where a **Research Agent** stores durable project facts in Memanto-compatible memory and a later **Writer Agent** recalls them in a separate run. It also demonstrates contradiction handling: a stale preference is superseded by a newer fact. What this demonstrates - Research ou

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Vantaq Labs

Artifacts

0

Benchmarks

0

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Unpublished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. 1 GitHub stars reported by the source. Last updated 10/9/2026.

Setup snapshot

  1. 1

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

  2. 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

Vantaq Labs

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

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

Self-declaredagent-index

Artifacts Archive

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

Self-declaredGITHUB REPOS

Extracted files

0

Examples

5

Snippets

0

Languages

python

Executable Examples

bash

python3 src/crewai_memanto_demo.py --reset
python3 src/crewai_memanto_demo.py --phase research
python3 src/crewai_memanto_demo.py --phase writer
python3 src/crewai_memanto_demo.py --phase contradiction

text

Writer Agent recalled: target audience=Python AI builders; tone=concise technical; publish channel=README tutorial

bash

pip install memanto
memanto  # prompts for Moorcheh API key
memanto agent create crewai-bounty-demo

python

from crewai_memanto_demo import MemantoCliMemory
memory = MemantoCliMemory(agent="crewai-bounty-demo")

python

memory.remember("target audience=Python AI builders", type="fact", source_agent="Research Agent")
results = memory.recall("target audience", type="fact")

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

CrewAI + Memanto long-term memory demo for bounty #37 CrewAI + Memanto Long-Term Memory Demo Bounty submission for moorcheh-ai/memanto#37. This repo shows a small multi-agent CrewAI-style workflow where a **Research Agent** stores durable project facts in Memanto-compatible memory and a later **Writer Agent** recalls them in a separate run. It also demonstrates contradiction handling: a stale preference is superseded by a newer fact. What this demonstrates - Research ou

Full README

CrewAI + Memanto Long-Term Memory Demo

Bounty submission for moorcheh-ai/memanto#37.

This repo shows a small multi-agent CrewAI-style workflow where a Research Agent stores durable project facts in Memanto-compatible memory and a later Writer Agent recalls them in a separate run. It also demonstrates contradiction handling: a stale preference is superseded by a newer fact.

What this demonstrates

  • Research output survives across process runs.
  • A second agent can retrieve context written by the first agent.
  • Old facts can be marked as superseded and filtered out.
  • The code is safe to run without paid keys: it uses a local JSON store by default, and includes a MemantoCliMemory adapter showing how to swap the storage calls to memanto remember / memanto recall when a Moorcheh API key is configured.

Quick start

python3 src/crewai_memanto_demo.py --reset
python3 src/crewai_memanto_demo.py --phase research
python3 src/crewai_memanto_demo.py --phase writer
python3 src/crewai_memanto_demo.py --phase contradiction

Expected writer output includes the remembered facts from a previous run:

Writer Agent recalled: target audience=Python AI builders; tone=concise technical; publish channel=README tutorial

Swap standard CrewAI memory for Memanto

  1. Install and configure Memanto:
pip install memanto
memanto  # prompts for Moorcheh API key
memanto agent create crewai-bounty-demo
  1. Replace the demo memory backend:
from crewai_memanto_demo import MemantoCliMemory
memory = MemantoCliMemory(agent="crewai-bounty-demo")
  1. Store and recall through the adapter from each CrewAI task/tool instead of relying only on in-process CrewAI memory. The demo keeps the calls narrow:
memory.remember("target audience=Python AI builders", type="fact", source_agent="Research Agent")
results = memory.recall("target audience", type="fact")

Production adapter notes

See CREWAI_MEMANTO_ADAPTER.md for the proposed CrewAI mapping, memory taxonomy, metadata strategy, and contradiction/upsert policy. This is included so the submission is not only a toy transcript: reviewers can see exactly how the local proof maps to a real Memanto-backed CrewAI memory layer.

Visual proof

A terminal transcript is in demo/terminal-proof.txt. It shows reset -> research run -> writer run -> contradiction update/retrieval.

Notes

  • crewai integration is represented by small Agent/Task wrappers when the package is not installed, so reviewers can run the memory proof immediately. If CrewAI is installed, the same memory adapter can be called from CrewAI tools/tasks.
  • No wallet, seed phrase, payment, or private credential is used.

Contract & API

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

MissingGITHUB REPOS

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-vantaq-labs-memanto-crewai-memory-bounty/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/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.

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

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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-vantaq-labs-memanto-crewai-memory-bounty/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T06:00:27.945Z"
    }
  },
  "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": "Vantaq Labs",
    "href": "https://github.com/vantaq-labs/memanto-crewai-memory-bounty",
    "sourceUrl": "https://github.com/vantaq-labs/memanto-crewai-memory-bounty",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:03.148Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:03.148Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/vantaq-labs/memanto-crewai-memory-bounty",
    "sourceUrl": "https://github.com/vantaq-labs/memanto-crewai-memory-bounty",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:03.148Z",
    "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-vantaq-labs-memanto-crewai-memory-bounty/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-vantaq-labs-memanto-crewai-memory-bounty/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
  }
]

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