The Context Engineering Engine for AI Coding Agents
Your AI sees 5% of your codebase and hallucinates the rest. Entroly fixes this — 70-95% fewer tokens, 100% code visibility.

pip install entroly && entroly go

Problem • Solution • Install • Demo • Integrations • Architecture • Community

Every AI coding tool — Cursor, Claude Code, GitHub Copilot, Windsurf, Cody — has the same fatal flaw:

Your AI can only see 5-10 files at a time. The other 95% of your codebase is invisible.

This causes:

• Hallucinated function calls — the AI invents APIs that don't exist
• Broken imports — it references modules it can't see
• Missed dependencies — it changes auth.py without knowing about auth_config.py
• Wasted tokens — raw-dumping files burns your budget on boilerplate and duplicates
• Wrong answers — without full context, even GPT-4/Claude give incomplete solutions

You've felt this. You paste code manually. You write long system prompts. You pray it doesn't hallucinate. There's a better way.

Entroly compresses your entire codebase into the context window at variable resolution.

Critical files appear in full. Supporting files appear as signatures. Everything else appears as references. Your AI sees the whole picture — and you pay 70-95% less.

pip install entroly && entroly demo    # see savings on YOUR codebase

Open the interactive demo for the animated experience.

pip install entroly[full]
entroly go

That's it. entroly go auto-detects your IDE, configures everything, starts the proxy and dashboard. Then point your AI tool to http://localhost:9377/v1.

pip install entroly                # core engine
entroly init                       # detect IDE + generate config
entroly proxy --quality balanced   # start proxy

npm install entroly

docker pull ghcr.io/juyterman1000/entroly:latest
docker run --rm -p 9377:9377 -p 9378:9378 -v .:/workspace:ro ghcr.io/juyterman1000/entroly:latest

"I stopped manually pasting code into Claude. Entroly just works."

• Zero config — entroly go handles everything. No YAML, no embeddings, no prompt engineering.
• Instant results — See the difference on your first request. No training period.
• Privacy-first — Everything runs locally. Your code never leaves your machine.
• Battle-tested — 436 tests, crash recovery, connection auto-reconnect, cross-platform file locking.
• Built-in security — 55 SAST rules catch hardcoded secrets, SQL injection, command injection across 8 CWE categories.
• Codebase health grades — Clone detection, dead code finder, god file detection. Get an A-F grade.

OpenClaw users get the deepest integration — Entroly plugs in as a Context Engine:

from entroly.context_bridge import MultiAgentContext

ctx = MultiAgentContext(workspace_path="~/.openclaw/workspace")
ctx.ingest_workspace()
sub = ctx.spawn_subagent("main", "researcher", "find auth bugs")

"The LLM is the CPU, the context window is RAM."

These layers are complementary. Entroly is the optimization layer that ensures everything fits without waste.

entroly proxy --quality speed       # minimal optimization, lowest latency
entroly proxy --quality balanced    # recommended (default)
entroly proxy --quality max         # full pipeline, best results
entroly proxy --quality 0.7         # any float 0.0-1.0

• Persistent savings tracking — lifetime savings in ~/.entroly/value_tracker.json, trend charts in dashboard
• IDE status bar — /confidence endpoint for real-time VS Code widgets
• Rich headers — X-Entroly-Confidence, X-Entroly-Coverage-Pct, X-Entroly-Cost-Saved-Today
• Crash recovery — gzipped checkpoints restore in <100ms
• Large file protection — 500 KB ceiling prevents OOM
• Binary detection — 40+ file types auto-skipped
• Fragment feedback — POST /feedback lets your AI rate context quality
• Explainable — GET /explain shows why each fragment was included/excluded

entroly doctor    # runs 7 diagnostic checks
entroly --help    # all commands

Email: autobotbugfix@gmail.com — we respond within 24 hours.

python3 -m venv ~/.venvs/entroly && source ~/.venvs/entroly/bin/activate && pip install entroly[full]

python -m pip install entroly

entroly proxy --port 9378

+-----------------------------------------------------------+
|  IDE (Cursor / Claude Code / Cline / Copilot)             |
|                                                           |
|  +---- MCP mode ----+    +---- Proxy mode ----+          |
|  | entroly MCP server|    | localhost:9377     |          |
|  | (JSON-RPC stdio)  |    | (HTTP reverse proxy)|         |
|  +--------+----------+    +--------+-----------+          |
|           |                        |                      |
|  +--------v------------------------v-----------+          |
|  |          Entroly Engine (Python)             |          |
|  |  +-------------------------------------+    |          |
|  |  |  entroly-core (Rust via PyO3)       |    |          |
|  |  |  21 modules · 380 KB · 249 tests    |    |          |
|  |  +-------------------------------------+    |          |
|  +---------------------------------------------+          |
+-----------------------------------------------------------+

Integrates with hippocampus-sharp-memory for persistent cross-session memory and Ebbiforge for embeddings + RL weight learning. Both optional.

MIT

Your AI is blind without context. Fix it in 30 seconds.
pip install entroly[full] && entroly go