v0.1.0  ·  MIT LICENSE  ·  OPEN SOURCE
SELF-EVOLVING AI AGENT WRAPPER

Your AI agent,

continuously learning.

EvoClaw wraps your model, scores every conversation with a reward model, injects skills in real time, and trains via cloud LoRA — automatically. No GPU. No data team. No downtime.

0GPU Needed
100%Async
5 minSetup
2Learn Modes
Skills Learned
MITLicense

HOW IT WORKS

From conversation to trained model.

Five automated steps run in the background — no manual intervention, no restarts, no service interruption.

01
Intercept
Transparent OpenAI-compatible proxy captures every conversation turn with zero added latency.
02
Score
A Process Reward Model scores each turn via a judge LLM. High quality turns contribute more to training.
03
Inject Skills
Relevant skills are injected into the system prompt before each response. Immediate improvement, no retraining wait.
04
Cloud Training
Batch submits to Tinker cloud for LoRA fine-tuning. Runs remotely — zero GPU on your end.
05
Hot-Swap & Repeat
Updated weights swap into the live server. Zero downtime. The cycle continues automatically.
EVOCLAW RUNTIME LIVE
[PROXY]Turn intercepted from OpenClaw
[PRM]Scoring... reward = 0.84
[SKILLS]Injected: [coding, security]
[BUFFER]Batch 32/32 → sending to Tinker
[TRAIN]LoRA step 48 — loss: 0.0308
[SWAP]✓ Weights updated. Agent upgraded.
▶ Open Full Interactive Demo →

FEATURES

Everything your agent needs to grow.

No data team. No fine-tuning pipeline. EvoClaw handles the entire learning loop in the background.

🎯
Real Usage Training

Learns from live conversations — no synthetic datasets, no offline retraining. Continuously improving from actual deployment.

NO SYNTHETIC DATA
💉
Skill Injection

Retrieves relevant skill instructions and injects them into the system prompt each turn. Instant improvement without waiting for retraining.

INSTANT BOOST
🧬
Skill Evolution

When the agent fails, EvoClaw auto-generates a new skill from the failure trajectory using an LLM. Learns from its own mistakes.

SELF-IMPROVEMENT
☁️
No GPU Cluster

Training offloads to Tinker cloud. Any machine with network access runs the complete system — zero infrastructure overhead.

CLOUD-NATIVE
Fully Async

Serving, scoring, and training run as decoupled coroutines. Your agent responds in real time while learning happens in the background.

NON-BLOCKING
🔀
Dual Learning Modes

RL (GRPO) for implicit environment signals. On-Policy Distillation for richer language supervision. One config field to switch.

GRPO + OPD
NEW 🤖
Discord & Telegram Deploy

Deploy your self-evolving agent directly to Discord or Telegram with a single command. Your community becomes the training ground — every message improves the agent automatically.

1 COMMAND DEPLOY
NEW 🏷️
Skill Auto-Tag

Every skill is automatically categorized and tagged by domain — crypto, coding, research, agentic — using an LLM. No manual labeling. Skills are instantly searchable and composable across agent instances.

LLM-POWERED

GET STARTED

Up and running in 5 minutes.

Tell us about your project and model stack — we'll send a personalized setup guide, a EvoClawConfig pre-filled for your scenario, and a starter skill bank curated for your use case.

📦
Personalized Setup Guide
Step-by-step walkthrough based on your model and use case, sent right after you submit.
⚙️
Ready-to-Use Config
EvoClawConfig pre-filled for your scenario — just add your API key.
🧬
Starter Skill Bank (25+ skills)
Curated skills for your domain — coding, security, research, or agentic workflows.
📊
Early Access Updates
First to know about new features and integrations. Unsubscribe anytime.

Get Your Free Setup Guide

Receive a personalized config + skill bank · No credit card · MIT licensed

🦎

You're all set!

Your setup guide, config template, and starter skill bank are on their way. Check your inbox.

No spam · Unsubscribe anytime · Open source


QUICK START

Running in 3 commands.

No GPU, no cluster, no data team. Install, configure, and start — EvoClaw handles the rest.

TERMINAL
# 1. Install dependencies
pip install fastapi uvicorn httpx openai transformers tinker tinker-cookbook
 
# 2. Set up OpenClaw to use EvoClaw proxy
bash openclaw_model_kimi.sh
 
# 3. Add your Tinker key and run
export TINKER_API_KEY="tk_xxxxxxxxxxxx"
python examples/run_with_skills.py
 
🦎 EvoClaw ready — your agent is now self-evolving.

BUILT ON OPEN SOURCE

READY TO START?

Your agent starts evolving today.

No GPU. No data team. No setup headache. Just plug EvoClaw in and watch your agent improve with every conversation.