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
AEGIS — Neural Routing Engine for OpenClaw Agent Swarms. Dynamically routes prompts to optimal model tiers using 15-dimensional analysis. --- name: aegis-router description: "AEGIS — Neural Routing Engine for OpenClaw Agent Swarms. Dynamically routes prompts to optimal model tiers using 15-dimensional analysis." version: 1.0.0 author: DisierTECH tags: - routing - model-selection - middleware - agent-swarm - optimization requires: bins: [] env: [] --- 🛡️ AEGIS Router **Advanced Engineered Governance & Intelligence System** AEGIS is the neural routing c Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.
Freshness
Last checked 2/23/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
aegis-router is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
AEGIS — Neural Routing Engine for OpenClaw Agent Swarms. Dynamically routes prompts to optimal model tiers using 15-dimensional analysis. --- name: aegis-router description: "AEGIS — Neural Routing Engine for OpenClaw Agent Swarms. Dynamically routes prompts to optimal model tiers using 15-dimensional analysis." version: 1.0.0 author: DisierTECH tags: - routing - model-selection - middleware - agent-swarm - optimization requires: bins: [] env: [] --- 🛡️ AEGIS Router **Advanced Engineered Governance & Intelligence System** AEGIS is the neural routing c
Public facts
7
Change events
1
Artifacts
0
Freshness
Feb 23, 2026
Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 23, 2026
Vendor
Disi3r
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/disi3r/AegisRouter.gitSetup 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
Disi3r
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
Adoption signal
1 GitHub stars
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
3
Snippets
0
Languages
typescript
Parameters
typescript
import { createAegis } from '@disier/aegis-router';
const aegis = createAegis();
// In your OpenClaw gateway middleware:
function onMessage(context) {
const result = aegis.intercept({
prompt: context.message,
sessionId: context.session.id,
agentId: context.agent.id,
});
// Apply the routing decision
context.session.model = result.decision.model;
console.log(result.decision.reason);
}typescript
import { createAegis } from '@disier/aegis-router';
const aegis = createAegis();
// Analyze a prompt
const result = aegis.intercept({
prompt: "Prove that the halting problem is undecidable using a diagonal argument",
});
// result.decision.tier → REASONING
// result.decision.model → "kimi-k2.5"
// result.decision.confidence → 0.97typescript
const result = aegis.intercept({
prompt: userMessage,
sessionId: session.id,
agentId: 'code-specialist',
modelOverride: 'qwen3-coder', // Hard lock for this agent
});Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
AEGIS — Neural Routing Engine for OpenClaw Agent Swarms. Dynamically routes prompts to optimal model tiers using 15-dimensional analysis. --- name: aegis-router description: "AEGIS — Neural Routing Engine for OpenClaw Agent Swarms. Dynamically routes prompts to optimal model tiers using 15-dimensional analysis." version: 1.0.0 author: DisierTECH tags: - routing - model-selection - middleware - agent-swarm - optimization requires: bins: [] env: [] --- 🛡️ AEGIS Router **Advanced Engineered Governance & Intelligence System** AEGIS is the neural routing c
name: aegis-router description: "AEGIS — Neural Routing Engine for OpenClaw Agent Swarms. Dynamically routes prompts to optimal model tiers using 15-dimensional analysis." version: 1.0.0 author: DisierTECH tags:
Advanced Engineered Governance & Intelligence System
AEGIS is the neural routing cortex for your OpenClaw Agent Swarm. It analyzes every prompt across 15 cognitive dimensions in real-time and routes it to the optimal model tier from your local infrastructure — all in under 1ms with zero external API calls.
"The most powerful intelligence isn't the one that knows the most — it's the one that knows which intelligence to summon."
AEGIS embodies the principle of intelligent delegation. In a world where dozens of AI models exist with different strengths, costs, and specializations, blindly routing every request to the most expensive model is wasteful. AEGIS acts as the strategic command layer — a triage system that ensures:
| Tier | Name | Models | Use Case | |------|------|--------|----------| | 🟢 T1 | EFFICIENT | Gemini 3 Flash | Greetings, quick lookups, heartbeats | | 🔵 T2 | BALANCED | Qwen3 Coder, Llama 4 Scout | Code generation, technical Q&A | | 🟠 T3 | ADVANCED | Claude 4.5 Opus | Complex analysis, architecture design | | 🔴 T4 | REASONING | Kimi K2.5 | Multi-step reasoning, proofs, deep logic |
AEGIS is designed to intercept messages before the agent processes them:
import { createAegis } from '@disier/aegis-router';
const aegis = createAegis();
// In your OpenClaw gateway middleware:
function onMessage(context) {
const result = aegis.intercept({
prompt: context.message,
sessionId: context.session.id,
agentId: context.agent.id,
});
// Apply the routing decision
context.session.model = result.decision.model;
console.log(result.decision.reason);
}
import { createAegis } from '@disier/aegis-router';
const aegis = createAegis();
// Analyze a prompt
const result = aegis.intercept({
prompt: "Prove that the halting problem is undecidable using a diagonal argument",
});
// result.decision.tier → REASONING
// result.decision.model → "kimi-k2.5"
// result.decision.confidence → 0.97
Edit aegis.config.yaml to customize:
AEGIS is designed to work within an OpenClaw Agent Swarm. In a multi-agent setup, each agent can have its own model override in the swarm config. AEGIS will respect agent-level overrides while still performing analysis (for logging and metrics).
Pass agentId and optional modelOverride in the context:
const result = aegis.intercept({
prompt: userMessage,
sessionId: session.id,
agentId: 'code-specialist',
modelOverride: 'qwen3-coder', // Hard lock for this agent
});
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/snapshot"
curl -s "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/contract"
curl -s "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/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
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": "ready",
"authModes": [
"api_key"
],
"requires": [
"openclew",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/disi3r/AegisRouter#input",
"outputSchemaRef": "https://github.com/disi3r/AegisRouter#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:55:11.577Z",
"sourceUpdatedAt": "2026-02-24T19:55:11.577Z",
"freshnessSeconds": 4420156
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/disi3r-aegisrouter/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/disi3r-aegisrouter/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/disi3r-aegisrouter/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:44:28.159Z"
}
},
"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": "have",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:have|supported|profile"
}Facts JSON
[
{
"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": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:55:11.577Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "api_key",
"href": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:55:11.577Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/disi3r/AegisRouter#input",
"sourceUrl": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:55:11.577Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Disi3r",
"href": "https://github.com/disi3r/AegisRouter",
"sourceUrl": "https://github.com/disi3r/AegisRouter",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/disi3r/AegisRouter",
"sourceUrl": "https://github.com/disi3r/AegisRouter",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/disi3r-aegisrouter/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
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