Xpersona

Crawler Summary

MemoryForge-AI-Assistant answer-first brief

Privacy-aware AI assistant with cross-session memory, semantic recall, Mem0, OpenMemory-compatible MCP tools, LangChain, CrewAI, Claude/OpenAI and FastAPI. MemoryForge AI 🧠✨ A privacy-aware AI assistant that remembers useful context across conversations, retrieves relevant memories for future sessions, and shares controlled memory across multiple agents through MCP. Why MemoryForge? Most assistants restart from zero. MemoryForge separates short-term conversation context from durable long-term memory, so agents can recall preferences, projects, decisions, and goals with Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

MemoryForge-AI-Assistant 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

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

MemoryForge-AI-Assistant

Privacy-aware AI assistant with cross-session memory, semantic recall, Mem0, OpenMemory-compatible MCP tools, LangChain, CrewAI, Claude/OpenAI and FastAPI. MemoryForge AI 🧠✨ A privacy-aware AI assistant that remembers useful context across conversations, retrieves relevant memories for future sessions, and shares controlled memory across multiple agents through MCP. Why MemoryForge? Most assistants restart from zero. MemoryForge separates short-term conversation context from durable long-term memory, so agents can recall preferences, projects, decisions, and goals with

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

Sgt 9304

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Unpublished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. Last updated 10/9/2026.

View Source

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

Sgt 9304

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

Protocol compatibility

OpenClaw

contractmedium
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

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

0

Examples

6

Snippets

0

Languages

python

Executable Examples

mermaid

flowchart LR
 U[User] --> API[FastAPI Gateway]
 API --> OR[Assistant Orchestrator]
 OR --> MR[Memory Retriever]
 MR --> MB{Memory Backend}
 MB -->|cloud| M0[Mem0]
 MB -->|local| SQ[(SQLite + Embeddings)]
 MR --> CTX[Relevant Memory Context]
 CTX --> LC[LangChain Prompt]
 LC --> LLM[Claude / OpenAI / Local Fallback]
 LLM --> EX[Memory Extractor]
 EX --> PG[Consent + Policy Gate]
 PG --> MB
 OR --> MCP[MCP Memory Tools]
 MCP --> AG[Other Agents / IDEs]
 OR --> AU[(Audit Events)]

mermaid

flowchart LR
 A[Conversation] --> B[Candidate Extraction]
 B --> C{Useful and allowed?}
 C -->|No| D[Discard]
 C -->|Yes| E[Classify Scope and Type]
 E --> F[Embed and Store]
 F --> G[Semantic Retrieval]
 G --> H[Personalised Response]
 H --> I[Update / Expire / Delete]

bash

cp .env.example .env
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\\Scripts\\activate
pip install -r requirements.txt
uvicorn app.api:app --reload

bash

curl -X POST http://localhost:8000/v1/chat \\
  -H 'Content-Type: application/json' \\
  -H 'X-User-ID: sujal' -H 'X-Session-ID: session-1' \\
  -d '{"message":"Remember that I prefer concise architecture explanations and I am building an MCP fintech agent.","allow_memory":true}'

bash

curl -X POST http://localhost:8000/v1/chat \\
  -H 'Content-Type: application/json' \\
  -H 'X-User-ID: sujal' -H 'X-Session-ID: session-1' \\
  -d '{"message":"Remember that I prefer concise architecture explanations and I am building an MCP fintech agent.","allow_memory":true}'

bash

curl -X POST http://localhost:8000/v1/chat \\
  -H 'Content-Type: application/json' \\
  -H 'X-User-ID: sujal' -H 'X-Session-ID: session-2' \\
  -d '{"message":"How should you explain my next system design?","allow_memory":false}'

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Privacy-aware AI assistant with cross-session memory, semantic recall, Mem0, OpenMemory-compatible MCP tools, LangChain, CrewAI, Claude/OpenAI and FastAPI. MemoryForge AI 🧠✨ A privacy-aware AI assistant that remembers useful context across conversations, retrieves relevant memories for future sessions, and shares controlled memory across multiple agents through MCP. Why MemoryForge? Most assistants restart from zero. MemoryForge separates short-term conversation context from durable long-term memory, so agents can recall preferences, projects, decisions, and goals with

Full README

MemoryForge AI 🧠✨

A privacy-aware AI assistant that remembers useful context across conversations, retrieves relevant memories for future sessions, and shares controlled memory across multiple agents through MCP.

Why MemoryForge?

Most assistants restart from zero. MemoryForge separates short-term conversation context from durable long-term memory, so agents can recall preferences, projects, decisions, and goals without replaying the entire chat history.

Highlights

  • Cross-session long-term memory
  • Semantic memory retrieval before generation
  • User, session, project, and agent scopes
  • Explicit memory consent and visibility controls
  • Memory add, search, update, delete, and export
  • Mem0 cloud integration with a local SQLite fallback
  • OpenMemory-compatible MCP tools
  • LangChain response workflow
  • CrewAI multi-agent memory demonstration
  • Claude and OpenAI APIs, plus a local no-key fallback
  • Audit logs, memory expiry, and sensitive-data screening
  • FastAPI, Docker, tests, GitHub Actions, and sample UI-free API

Architecture

flowchart LR
 U[User] --> API[FastAPI Gateway]
 API --> OR[Assistant Orchestrator]
 OR --> MR[Memory Retriever]
 MR --> MB{Memory Backend}
 MB -->|cloud| M0[Mem0]
 MB -->|local| SQ[(SQLite + Embeddings)]
 MR --> CTX[Relevant Memory Context]
 CTX --> LC[LangChain Prompt]
 LC --> LLM[Claude / OpenAI / Local Fallback]
 LLM --> EX[Memory Extractor]
 EX --> PG[Consent + Policy Gate]
 PG --> MB
 OR --> MCP[MCP Memory Tools]
 MCP --> AG[Other Agents / IDEs]
 OR --> AU[(Audit Events)]

Memory lifecycle

flowchart LR
 A[Conversation] --> B[Candidate Extraction]
 B --> C{Useful and allowed?}
 C -->|No| D[Discard]
 C -->|Yes| E[Classify Scope and Type]
 E --> F[Embed and Store]
 F --> G[Semantic Retrieval]
 G --> H[Personalised Response]
 H --> I[Update / Expire / Delete]

Memory types

  • preference: communication, tools, workflow preferences
  • profile: stable user-provided facts
  • project: repository decisions and technical context
  • goal: longer-term learning or delivery goals
  • decision: explicit decisions and rationale
  • episodic: past interactions worth recalling

Sensitive secrets, passwords, tokens, financial account details, and government identifiers are rejected. Users can disable automatic storage and delete or export memories.

Quick start

cp .env.example .env
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\\Scripts\\activate
pip install -r requirements.txt
uvicorn app.api:app --reload

Open http://localhost:8000/docs.

No API key is required for the local demo. Set MEMORY_BACKEND=mem0 plus MEM0_API_KEY for Mem0. Set LLM_PROVIDER=anthropic or openai for generated responses.

First conversation

curl -X POST http://localhost:8000/v1/chat \\
  -H 'Content-Type: application/json' \\
  -H 'X-User-ID: sujal' -H 'X-Session-ID: session-1' \\
  -d '{"message":"Remember that I prefer concise architecture explanations and I am building an MCP fintech agent.","allow_memory":true}'

New session, same memory

curl -X POST http://localhost:8000/v1/chat \\
  -H 'Content-Type: application/json' \\
  -H 'X-User-ID: sujal' -H 'X-Session-ID: session-2' \\
  -d '{"message":"How should you explain my next system design?","allow_memory":false}'

REST API

  • POST /v1/chat
  • POST /v1/memories
  • GET /v1/memories/search?q=...
  • GET /v1/memories
  • PATCH /v1/memories/{id}
  • DELETE /v1/memories/{id}
  • GET /v1/memories/export
  • GET /v1/audit
  • GET /health

MCP server

python -m app.mcp_server

Tools exposed:

  • memory_add
  • memory_search
  • memory_list
  • memory_forget

Every tool requires an explicit user_id; project and agent scopes prevent accidental global sharing.

CrewAI workflow

python -m examples.crewai_memory_workflow

The researcher and planner retrieve shared project memory, while agent-private memory remains isolated.

Evaluation

python -m app.evaluate --dataset eval/memory_cases.json

Measures recall@k, user isolation, sensitive-memory rejection, cross-session recall, and delete effectiveness.

Privacy and security

  • Explicit user identity and session identity
  • Per-user, project, and agent scopes
  • Sensitive-data rejection
  • Consent flag for automatic memory creation
  • Memory TTL and deletion
  • Export for user visibility
  • Audit events for reads, writes, updates, and deletes
  • Retrieved memories are labelled as untrusted context
  • No arbitrary file, SQL, shell, or web tools

Project structure

app/        API, memory backends, orchestration, MCP and evaluation
examples/   CrewAI workflow
 eval/       memory evaluation cases
 tests/      policy and isolation tests
 storage/    generated local database
 .github/    CI

Roadmap

  • OpenMemory remote MCP connector profile
  • OAuth/OIDC and organisation RBAC
  • Encrypted memory fields
  • Contradiction and staleness detection
  • Memory consolidation and summarisation
  • pgvector/Qdrant backend
  • OpenTelemetry traces
  • Web dashboard for inspecting and deleting memories
  • LongMemEval/LoCoMo benchmark adapters

GitHub topics

ai-memory mem0 openmemory mcp langchain crewai ai-assistant long-term-memory claude fastapi agentic-ai

License

MIT.

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

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-sgt-9304-memoryforge-ai-assistant/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/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.

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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-sgt-9304-memoryforge-ai-assistant/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:07:57.031Z"
    }
  },
  "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": "Sgt 9304",
    "href": "https://github.com/sgt-9304/MemoryForge-AI-Assistant",
    "sourceUrl": "https://github.com/sgt-9304/MemoryForge-AI-Assistant",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T14:16:29.263Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T14:16:29.263Z",
    "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-sgt-9304-memoryforge-ai-assistant/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sgt-9304-memoryforge-ai-assistant/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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