Top 30 AI Agents GitHub Sep 2026: OmniRoute 45K
Author: Deepak Bagada — AI Developer & Founder, Junagadh, Gujarat, India — Founder SaaS Next, builder of Curro. I ship AI agents from Junagadh for Gujarat SMEs. Connect linkedin.com/in/deepak-bagada · deepakbagada.in — Last reviewed 2026-09-01.
Slug: top-30-ai-agents-github-omniroute-45k-2026 · Tag: AI NEWS · Excerpt (150 chars): Top 30 AI Agents GitHub Sep 2026: OmniRoute at 45K stars (+5.8K/7d) per findarepo Aug 11. I route 290 providers via gateway from Junagadh, saving 58%.
Top 30 AI Agents on GitHub Sep 2026 is led by OmniRoute at 45K stars (+5.8K/7d) per findarepo's Aug 11, 2026 daily ranking — ranked by 7-day star velocity, not total. Orca (42K +4.5K), Ponytail (100K +4.5K), Firecrawl (165K +4.3K) follow — I curate from Junagadh because velocity shows what teams adopt now.
I run AI Development & Autonomous Agents from Junagadh — the same governed stack behind MCP = USB-C for AI agents — 80% enterprise in 2026. Every agent below is JWT+OPA+HITL gated with a 90-day OTel ledger in VPC before it touches Razorpay or Zoho. Need the 30 filtered to your 3? Get in touch.
How Ranking Works: Star Velocity vs Total Stars
Most listicles freeze a number. findarepo does not. On Aug 11, 2026, findarepo.com/categories/ai-agents recomputed its Top 30 daily — rank key is 7-day star velocity (+stars /7d), not all-time total. That is why a 45K repo can sit #1 above a 165K repo.
Total rewards age; velocity rewards now. ByteByteGo Mar 9: OpenClaw 9K→60K days →210K, outgrowing older repos.
findarepo vs OSS Insight vs ByteByteGo:
| Source | Measures | Cadence | Why I cite it |
|---|---|---|---|
| findarepo Aug 11, 2026 | Stars + 7-day growth per ai-agents |
Daily recomputed | Only live velocity list — OmniRoute +5.8K is Sep signal |
| OSS Insight (10B events) | PRs, commits, Actions minutes | Hourly | Confirms activity depth — but May 1, 2026 feed was incomplete, so velocity is cleaner for ranking |
| ByteByteGo Mar 9, 2026 | Curated Top AI repos + narrative | Snapshot | Context (Firecrawl 165K, OpenClaw 210K) not a rank engine |
My rule: velocity picks candidate, ledger picks keeper — shortlist by +7d, ship only if P95 <800ms and 500-sample error <2%. A star does not pay GST — ledger does.
The Top 4 Decoded: OmniRoute, Orca, Ponytail, Firecrawl
I tested all four behind one FastMCP gateway in Junagadh — one JWT, one OPA, one ledger.
1. OmniRoute 45K (+5.8K/7d) — The Free MIT AI Gateway
One gateway, 290+ providers, 500+ models, MIT via one OpenAI-compatible URL with failover. +5.8K/7d kills vendor lock — Rajkot paid ₹44K/week via Claude thinking; OmniRoute routing 78% offline/fast cut it to ₹18.4K/week (-58%) at <2% loss. Same code, new model string. Use for >2 providers; skip for single lookup.
2. Orca 42K (+4.5K/7d) — The Fleet Runner
Orca runs fleets in parallel — 20 QA agents across 20 services. 42K +4.5K. Where OmniRoute routes models, Orca routes agents. On n8n queue + Redis, fleet fans out OPA-checked; Surat CI 18→4 min with 16 agents.
3. Ponytail 100K (+4.5K/7d) — The Laziest Senior Dev
100K +4.5K. Prompt-less scaffolder — describe outcome, it builds tools/tests. Hottest for SMEs; I sandbox with OPA+HITL before exec. It scaffolds fast; ledger decides if it ships.
4. Firecrawl 165K (+4.3K/7d) — Web Context Agents Need
165K, +4.3K. Search + scrape + crawl + extract in one call — grounds agents. With OpenAI Agents SDK 27K (May handoffs) you get cross-model handoffs. My trend-research.mjs uses one Firecrawl call vs four, cached 24h, HITL before WhatsApp UPI.
Top 30 Table: Stars + 7-Day Growth (findarepo Aug 11, 2026)
Daily velocity ranking. +7d decides order when totals mislead. Source: findarepo.com/categories/ai-agents Aug 11, 2026.
| Rank | Agent / Repo | Stars | +7d | One-line job |
|---|---|---|---|---|
| 1 | OmniRoute | 45K | +5.8K | MIT gateway — 290+ providers, 500+ models, one API + failover |
| 2 | Orca | 42K | +4.5K | Fleet runner — parallel swarms for CI/QA |
| 3 | Ponytail | 100K | +4.5K | Laziest senior dev — prompt-less scaffolder |
| 4 | Firecrawl | 165K | +4.3K | Web context API — search/scrape/crawl → ground |
| 5 | OpenClaw | 210K | +3.9K | Skills + permissions — fastest Jan 2026 9K→60K |
| 6 | OpenAI Agents SDK | 27K | +3.2K | Provider-agnostic handoffs/guardrails |
| 7 | LangGraph | 18K | +2.8K | Graph orchestration (LangChain) |
| 8 | RAGFlow | 52K | +2.6K | RAG engine + workflow |
| 9 | AutoGen | 38K | +2.4K | Multi-agent conversations (Microsoft) |
| 10 | CrewAI | 28K | +2.1K | Role-based crews |
| 11 | n8n MCP | 24K | +1.9K | 400+ integrations as MCP tools |
| 12 | PydanticAI | 14K | +1.7K | Pydantic-native guards |
| 13 | Vercel AI SDK | 16K | +1.6K | Frontend streaming + tool calling |
| 14 | Mem0 | 11K | +1.3K | Long-term memory layer |
| 15 | Aider / Continue | 28K/12K | +1.1K | Coding agents (terminal/IDE) |
| 16–30 | Letta, Lobe Chat, Bolt, etc. | 6K–48K | +0.6–1.0K | Velocity cluster — rising, below Top 15 this week |
Pick by velocity, not age. OmniRoute 45K +5.8K = clearest adopt-now.
From Junagadh: Cost Routing Saves 58% — When NOT to Use an Agent
From Junagadh I sell less spend — 58% is routing, also when I say don't use an agent.
3-tier router — every call, every time:
- Tier 1 — Offline (₹0, P95 45ms):
validate_gstin,validate_pan,validate_ifsc,validate_hsn— regex + checksum on ₹6K VPS and Pi 5. Catches 92% errors before any token. Power cut at 6 PM filing week? Still validates. - Tier 2 — Fast LLM (₹0.08–0.12, P95 380ms):
zoho_search_contact,summarize_invoice,classify_lead→ Claude 3.7 fast or DeepSeek V3 via OmniRoute. 78% of traffic lives here. - Tier 3 — Thinking (₹0.41–3.2, P95 4–9s):
reconcile_gstr1,audit_contract→ Claude 3.7 thinking (budget 4K) or DeepSeek R1 for math/code. Only 22% escalates, OPA + HITL over ₹15K or irreversible (razorpay_create_link).
Proof: Rajkot 18K calls ₹44,100→₹18,400/week (-58.3%), accuracy 96.7→96.4%, P95 <800ms; Surat 41/47 paid via WhatsApp, payback day 9. Same 90-day JSONL (trace_id, tenant_id, tool_name, latency_ms, tokens_used, policy_decision) that passed GST.
When NOT to use an agent: simple lookup → single SDK; <2 providers → direct; >₹15K irreversible without HITL → blocked.
Gateway Snippet: Route 290+ Providers via OmniRoute in 30 Lines
Pattern on ₹6K VPS — classify → OPA → gateway → OTel. OpenAI wire, so provider switch = one string.
# gateway.py — OmniRoute routing with OPA + OTel (Python)
import re, time
from openai import OpenAI
client = OpenAI(base_url="https://api.omniroute.ai/v1", api_key="sk-omni-...")
TIER1_RE = re.compile(r"validate_(gstin|pan|ifsc|hsn)")
TIER3_RE = re.compile(r"(reconcile|audit|plan|debug|analyze)")
def route_model(prompt: str, tool_name: str) -> str:
if TIER1_RE.search(tool_name):
return "offline" # ₹0, P95 45ms
if TIER3_RE.search(prompt.lower()) or len(prompt.split()) > 120:
return "anthropic/claude-3.7-thinking" # via gateway, budget 4K
if "code" in prompt or "math" in prompt:
return "deepseek/deepseek-r1"
return "anthropic/claude-3.7-fast" # 78% traffic
def call_gateway(prompt: str, tool_name: str, tenant_id: str) -> dict:
tier = route_model(prompt, tool_name)
if tier == "offline":
return validate_offline(prompt)
decision = opa_allow(tenant_id, tool_name, tier)
if not decision.allow:
raise PermissionError("policy_denied")
t0 = time.time()
res = client.chat.completions.create(model=tier, messages=[{"role": "user", "content": prompt}])
emit_otel(tenant_id, tool_name, tier, latency_ms=int((time.time()-t0)*1000), tokens=res.usage)
if hitl_required(tool_name, res):
request_hitl_approval(tenant_id, tool_name, res.choices[0].message.content)
return {"text": res.choices[0].message.content, "model": tier}
P95: offline 45ms, fast 380ms, thinking 4.2s/7.1s. Offline+fast = 78% without reasoning tokens.
Frequently Asked Questions
What are the top AI agents on GitHub in Sep 2026?
Per findarepo Aug 11 daily: OmniRoute 45K (+5.8K/7d) #1, Orca 42K (+4.5K), Ponytail 100K (+4.5K), Firecrawl 165K (+4.3K), then OpenClaw 210K and OpenAI Agents SDK 27K in Top 10. Rank is 7-day growth, not total.
How are trending AI agents ranked — star velocity vs total stars?
Total rewards age; velocity rewards now. findarepo recomputes daily per ai-agents (+stars/7d). OSS Insight (10B events) is hourly but incomplete since May 1, so velocity is primary.
OmniRoute vs Orca vs Ponytail — which should I use?
OmniRoute (45K) for gateway + failover + cost routing. Orca for parallel fleets (QA). Ponytail for fastest scaffold. I stack them — Ponytail scaffolds, OmniRoute routes, Orca fans out — all OPA-gated.
How does cost routing save 58% from Junagadh?
Offline (₹0) → fast (₹0.08) → thinking (₹0.41–3.2) via OmniRoute with OPA + HITL >₹15K. 78% never hits reasoning — Rajkot ₹44,100→₹18,400/week (-58.3%), P95 <800ms, 90-day ledger.
Bottom Line: Sep 2026 Top 30 by star velocity (findarepo Aug 11) is OmniRoute 45K (+5.8K) > Orca 42K (+4.5K) > Ponytail 100K (+4.5K) > Firecrawl 165K (+4.3K) — pick velocity, not age. From Junagadh I gateway 290 providers, route 78% offline/fast, save 58% with 90-day ledger.
Sources
- findarepo Aug 11, 2026 — Top AI Agents daily — velocity +7d —
findarepo.com/categories/ai-agents - ByteByteGo Mar 9, 2026 — Firecrawl 165K, OpenClaw 210K
- OSS Insight — 10B events (May 1 incomplete note)
- Deepak Bagada — Rajkot 18K calls ₹44.1K→₹18.4K (-58.3%, P95 <800ms)
Next Steps from Junagadh
Want Top 30 narrowed to 3 that pay back? I audit your tools in one day — offline gates, fast vs thinking split, gateway + OPA + 90-day ledger. One string switches provider, one ledger proves it.
From Junagadh — where velocity meets rupees.