Rank
70
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
Crawler Summary
Orchestrate LangGraph, CrewAI, AutoGen, and raw Python agents in one workflow. No framework lock-in. Framework-Agnostic Agent Orchestration Orchestrate LangGraph, CrewAI, AutoGen, and raw Python agents in one workflow. No framework lock-in. One ScenarioBundle JSON. You picked a framework. LangGraph, CrewAI, AutoGen - each one has its own orchestration layer, its own agent lifecycle, its own way of routing tasks. Now you need two of them to work together. Or you need to swap one out. Or you need a raw Python script t Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
framework-agnostic-agent-orchestration 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
Orchestrate LangGraph, CrewAI, AutoGen, and raw Python agents in one workflow. No framework lock-in. Framework-Agnostic Agent Orchestration Orchestrate LangGraph, CrewAI, AutoGen, and raw Python agents in one workflow. No framework lock-in. One ScenarioBundle JSON. You picked a framework. LangGraph, CrewAI, AutoGen - each one has its own orchestration layer, its own agent lifecycle, its own way of routing tasks. Now you need two of them to work together. Or you need to swap one out. Or you need a raw Python script t
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Axmeai
Artifacts
0
Benchmarks
0
Last release
Unpublished
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 4/15/2026.
Setup snapshot
Setup 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
Axmeai
Protocol compatibility
OpenClaw
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
python
python
# LangGraph - locked to LangGraph agents
from langgraph.graph import StateGraph
graph = StateGraph(AgentState)
graph.add_node("process", langgraph_agent) # LangGraph only
graph.add_node("review", langgraph_agent_2) # LangGraph only
# Cannot add a CrewAI crew or AutoGen agent here
# CrewAI - locked to CrewAI agents
from crewai import Crew, Task
crew = Crew(agents=[crewai_agent], tasks=[task]) # CrewAI only
# Cannot add a LangGraph node or raw Python here
# AutoGen - locked to AutoGen agents
from autogen import GroupChat
chat = GroupChat(agents=[autogen_agent]) # AutoGen only
# Cannot add a CrewAI crew or LangGraph node herepython
intent_id = client.send_intent({
"intent_type": "intent.orchestration.generic_task.v1",
"to_agent": "agent://myorg/production/generic-processor",
"payload": {"task_id": "ORCH-2026-0015", "task_type": "document_processing"},
})
result = client.wait_for(intent_id)bash
pip install axme export AXME_API_KEY="your-key" # Get one: axme login
python
from axme import AxmeClient, AxmeClientConfig
import os
client = AxmeClient(AxmeClientConfig(api_key=os.environ["AXME_API_KEY"]))
intent_id = client.send_intent({
"intent_type": "intent.orchestration.generic_task.v1",
"to_agent": "agent://myorg/production/generic-processor",
"payload": {
"task_id": "ORCH-2026-0015",
"task_type": "document_processing",
"input": {
"document_url": "s3://docs/contract-v3.pdf",
"actions": ["extract_clauses", "check_compliance", "generate_summary"],
},
"requested_by": "legal-pipeline",
},
})
print(f"Submitted: {intent_id}")
result = client.wait_for(intent_id)
print(f"Done: {result['status']}")bash
npm install @axme/axme
typescript
import { AxmeClient } from "@axme/axme";
const client = new AxmeClient({ apiKey: process.env.AXME_API_KEY! });
const intentId = await client.sendIntent({
intentType: "intent.orchestration.generic_task.v1",
toAgent: "agent://myorg/production/generic-processor",
payload: {
taskId: "ORCH-2026-0015",
taskType: "document_processing",
input: {
documentUrl: "s3://docs/contract-v3.pdf",
actions: ["extract_clauses", "check_compliance", "generate_summary"],
},
requestedBy: "legal-pipeline",
},
});
console.log(`Submitted: ${intentId}`);
const result = await client.waitFor(intentId);
console.log(`Done: ${result.status}`);Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Orchestrate LangGraph, CrewAI, AutoGen, and raw Python agents in one workflow. No framework lock-in. Framework-Agnostic Agent Orchestration Orchestrate LangGraph, CrewAI, AutoGen, and raw Python agents in one workflow. No framework lock-in. One ScenarioBundle JSON. You picked a framework. LangGraph, CrewAI, AutoGen - each one has its own orchestration layer, its own agent lifecycle, its own way of routing tasks. Now you need two of them to work together. Or you need to swap one out. Or you need a raw Python script t
Orchestrate LangGraph, CrewAI, AutoGen, and raw Python agents in one workflow. No framework lock-in. One ScenarioBundle JSON.
You picked a framework. LangGraph, CrewAI, AutoGen - each one has its own orchestration layer, its own agent lifecycle, its own way of routing tasks. Now you need two of them to work together. Or you need to swap one out. Or you need a raw Python script to participate in the same workflow. Every framework says "use our orchestrator." None of them interoperate.
Alpha - Built with AXME (AXP Intent Protocol). cloud.axme.ai - contact@axme.ai
Each agent framework has its own orchestration. None of them talk to each other.
Want a LangGraph agent to hand off to a CrewAI crew? Build a custom bridge. Want to swap AutoGen for raw Python? Rewrite the orchestration. Want all four in one workflow? Good luck.
# LangGraph - locked to LangGraph agents
from langgraph.graph import StateGraph
graph = StateGraph(AgentState)
graph.add_node("process", langgraph_agent) # LangGraph only
graph.add_node("review", langgraph_agent_2) # LangGraph only
# Cannot add a CrewAI crew or AutoGen agent here
# CrewAI - locked to CrewAI agents
from crewai import Crew, Task
crew = Crew(agents=[crewai_agent], tasks=[task]) # CrewAI only
# Cannot add a LangGraph node or raw Python here
# AutoGen - locked to AutoGen agents
from autogen import GroupChat
chat = GroupChat(agents=[autogen_agent]) # AutoGen only
# Cannot add a CrewAI crew or LangGraph node here
intent_id = client.send_intent({
"intent_type": "intent.orchestration.generic_task.v1",
"to_agent": "agent://myorg/production/generic-processor",
"payload": {"task_id": "ORCH-2026-0015", "task_type": "document_processing"},
})
result = client.wait_for(intent_id)
The agent behind generic-processor can be LangGraph, CrewAI, AutoGen, or raw Python. The caller does not know and does not care. Swap frameworks without changing a single line of orchestration code.
pip install axme
export AXME_API_KEY="your-key" # Get one: axme login
from axme import AxmeClient, AxmeClientConfig
import os
client = AxmeClient(AxmeClientConfig(api_key=os.environ["AXME_API_KEY"]))
intent_id = client.send_intent({
"intent_type": "intent.orchestration.generic_task.v1",
"to_agent": "agent://myorg/production/generic-processor",
"payload": {
"task_id": "ORCH-2026-0015",
"task_type": "document_processing",
"input": {
"document_url": "s3://docs/contract-v3.pdf",
"actions": ["extract_clauses", "check_compliance", "generate_summary"],
},
"requested_by": "legal-pipeline",
},
})
print(f"Submitted: {intent_id}")
result = client.wait_for(intent_id)
print(f"Done: {result['status']}")
npm install @axme/axme
import { AxmeClient } from "@axme/axme";
const client = new AxmeClient({ apiKey: process.env.AXME_API_KEY! });
const intentId = await client.sendIntent({
intentType: "intent.orchestration.generic_task.v1",
toAgent: "agent://myorg/production/generic-processor",
payload: {
taskId: "ORCH-2026-0015",
taskType: "document_processing",
input: {
documentUrl: "s3://docs/contract-v3.pdf",
actions: ["extract_clauses", "check_compliance", "generate_summary"],
},
requestedBy: "legal-pipeline",
},
});
console.log(`Submitted: ${intentId}`);
const result = await client.waitFor(intentId);
console.log(`Done: ${result.status}`);
go get github.com/AxmeAI/axme-sdk-go
client, _ := axme.NewClient(axme.ClientConfig{APIKey: os.Getenv("AXME_API_KEY")})
intentID, _ := client.SendIntent(ctx, map[string]any{
"intent_type": "intent.orchestration.generic_task.v1",
"to_agent": "agent://myorg/production/generic-processor",
"task_id": "ORCH-2026-0015",
"task_type": "document_processing",
"requested_by": "legal-pipeline",
"input": map[string]any{
"document_url": "s3://docs/contract-v3.pdf",
"actions": []string{"extract_clauses", "check_compliance", "generate_summary"},
},
}, axme.RequestOptions{})
result, _ := client.WaitFor(ctx, intentID, axme.ObserveOptions{})
fmt.Printf("Final status: %v\n", result["status"])
+-----------+ +------------+ +-----------+
| LangGraph |---->| LangGraph |---->| LangGraph |
| Agent A | | Orchestr. | | Agent B |
+-----------+ +------------+ +-----------+
X
X (cannot cross)
X
+-----------+ +------------+ +-----------+
| CrewAI |---->| CrewAI |---->| CrewAI |
| Agent C | | Orchestr. | | Agent D |
+-----------+ +------------+ +-----------+
Each framework is a silo. Agents cannot participate in workflows outside their framework.
+-----------+ +-----------+
| LangGraph |--+ +-->| LangGraph |
| Agent A | | +-----------+ | | Agent B |
+-----------+ +->| |--+ +-----------+
| AXME Cloud|
+-----------+ +->| (intents) |--+ +-----------+
| CrewAI |--+ | | +-->| AutoGen |
| Agent C | +-----------+ | Agent E |
+-----------+ | +-----------+
v
+-----------+
| Raw Python|
| Agent F |
+-----------+
One orchestration layer. Any framework. Swap agents without changing callers.
| Framework | How It Connects | Lock-In | |-----------|----------------|---------| | LangGraph | Wrap graph invocation in an AXME agent listener | None - LangGraph runs inside, AXME orchestrates outside | | CrewAI | Wrap crew.kickoff() in an AXME agent listener | None - CrewAI runs inside, AXME orchestrates outside | | AutoGen | Wrap group chat in an AXME agent listener | None - AutoGen runs inside, AXME orchestrates outside | | Raw Python | Use AXME SDK directly | None - no framework required | | Custom / Internal | Any code that can make HTTP calls | None - language-agnostic protocol |
The pattern is always the same: your framework runs inside the agent. AXME runs outside as the orchestration layer. The agent receives an intent, does its work using whatever framework it wants, and resumes with results.
| Language | Directory | Install |
|----------|-----------|---------|
| Python | python/ | pip install axme |
| TypeScript | typescript/ | npm install @axme/axme |
| Go | go/ | go get github.com/AxmeAI/axme-sdk-go |
# Install CLI (one-time)
curl -fsSL https://raw.githubusercontent.com/AxmeAI/axme-cli/main/install.sh | sh
# Open a new terminal, or run the "source" command shown by the installer
# Log in
axme login
# Install Python SDK
pip install axme
axme scenarios apply scenario.json
# Note the intent_id in the output
Get the agent key after scenario apply:
# macOS
cat ~/Library/Application\ Support/axme/scenario-agents.json | grep -A2 generic-processor-demo
# Linux
cat ~/.config/axme/scenario-agents.json | grep -A2 generic-processor-demo
Run in your language of choice:
# Python
AXME_API_KEY=<agent-key> python agent.py
# TypeScript (requires Node 20+)
cd typescript && npm install
AXME_API_KEY=<agent-key> npx tsx agent.ts
# Go
cd go && go run ./cmd/agent/
axme intents get <intent_id>
# lifecycle_status: COMPLETED
Built with AXME (AXP Intent Protocol).
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
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/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
Do not use if
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 • (~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
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 | 🌟 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": "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-axmeai-framework-agnostic-agent-orchestration/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T01:26:54.499Z"
}
},
"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": "Axmeai",
"href": "https://github.com/AxmeAI/framework-agnostic-agent-orchestration",
"sourceUrl": "https://github.com/AxmeAI/framework-agnostic-agent-orchestration",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:10.595Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:10.595Z",
"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-axmeai-framework-agnostic-agent-orchestration/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-axmeai-framework-agnostic-agent-orchestration/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
}
]Sponsored
Ads related to framework-agnostic-agent-orchestration and adjacent AI workflows.