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NeuralCleave

NeuralCleave

Your Personal AI Assistant — Smarter, Faster, and Fully Yours


License: BUSL 1.1 Python FastAPI Tests Version


Stars Issues PRs Welcome


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One AI assistant. 32 channels. 13 LLM providers. Smarter memory. No lock-in.


Website · Docs · Quick Start · Architecture · Channels · Memory · Voice · CLI · API


Contributing? Read CONTRIBUTING.md before opening a PR — it covers dev setup, testing, and how contributions are licensed under BUSL 1.1. Found a security issue? See SECURITY.md instead of filing a public issue. Community standards are in CODE_OF_CONDUCT.md.


What is NeuralCleave?

NeuralCleave is a personal AI assistant gateway — a single Python backend that connects you to every AI model and every messaging platform you already use, with a memory system that actually knows you.

  • 32 channel adapters — Telegram, Discord, Slack, WhatsApp, Email, iMessage, Teams, and 25 more, all producing a unified InboundMessage
  • 13 LLM providers — Anthropic, Gemini, OpenAI, DeepSeek, Mistral, Grok, Cohere, Kimi, GLM, Qwen, ERNIE, Doubao, Ollama — task-routed automatically
  • 3-tier memory — Redis (hot session) + Qdrant (vector semantic) + SQLite (long-term) — works offline, degrades gracefully
  • ReflectionEngine — 4-dimension quality scoring (0–100) with automatic self-correction before every response
  • Voice — local Whisper STT + 3-tier TTS (ElevenLabs → Kokoro → system) + OpenWakeWord, all offline-capable
  • Plugin SDK — typed Python ABCs, PEP 451 entry-points, hot-reload, Hub marketplace with PackageScanner safety gate
  • Desktop app — Tauri v2 (Windows / macOS / Linux) with system tray, global hotkey, and embedded terminal
  • PWA — installable on iOS + Android from the gateway's own /app endpoint, no app store needed
  • 5,076 tests — every subsystem unit-tested, all passing
You (any channel) → NeuralCleave Gateway → Smart Memory → Best Model → Reflection → Reply

Why NeuralCleave?

Feature Competitors NeuralCleave
Language TypeScript / Node.js Python (better AI/ML ecosystem)
Memory Flat files / LanceDB Redis + Qdrant + SQLite (3-tier)
Per-agent memory isolation ❌ ✅ LRU namespace per orchestrator node
LLM providers 4–8 13 (all major + 5 Chinese providers)
Task-aware model routing ❌ ✅ 10 task types → optimal model
Extended thinking (Claude) ❌ ✅ Configurable budget_tokens
Response quality scoring ❌ ✅ ReflectionEngine (4D, 0–100, auto-retry)
Local / offline mode Limited ✅ Full Ollama support; privacy mode toggle
Voice (STT + TTS) Mobile-only ✅ Whisper + ElevenLabs/Kokoro/system
Wake word detection macOS + iOS ✅ OpenWakeWord (all platforms)
Voice cloning ❌ ✅ neuralcleave voice clone
Desktop app ✅ ✅ Tauri v2 — Windows / macOS / Linux
Mobile companion Native apps ✅ PWA from gateway — no app store
Plugin SDK Markdown files ✅ Typed ABCs + PEP 451 entry-points
Hub marketplace 3,500+ skills ✅ PackageScanner safety gate (no ClawHavoc)
Agent orchestrator Cross-machine ✅ Multi-node, priority routing, namespace isolation
Canvas (visual output) ✅ ✅ Live block renderer + WebSocket broadcast
Prometheus metrics ❌ ✅ 13 built-in metrics
Structured logging stdout ✅ JsonFormatter + ContextLogger
REST API surface Limited docs ✅ 41 documented endpoints + OpenAPI
Channels ~29 32
Tests ~200 5,076

Screenshots

Chat
Chat
Dashboard
Dashboard
Memory
Memory
Channels
Channels
Orchestrator
Orchestrator
Skills
Skills
Canvas
Canvas
Terminal
Terminal
Observability
Observability

Architecture

┌──────────────────────────────────────────────────────────────────┐
│                    You (any surface)                              │
│  Telegram · Discord · Slack · WhatsApp · iMessage · Email · IRC  │
│  Teams · Matrix · Signal · Nostr · Bluesky · Twitch · 19 more   │
└────────────────────────┬─────────────────────────────────────────┘
                         │  InboundMessage (normalised)
┌────────────────────────▼─────────────────────────────────────────┐
│          FastAPI Gateway  (127.0.0.1:7432)                        │
│  POST /api/v1/chat   ·   GET /health   ·   41 REST endpoints     │
│  WS /ws/chat (streaming)  ·  WS /ws/canvas (live blocks)        │
└──────────┬───────────────────────────────────────────────────────┘
           │
    ┌──────▼──────────────────────────────────────────────────┐
    │               AgentOrchestrator                          │
    │  Named nodes · task/keyword/channel routing              │
    │  Priority + round-robin · per-node MemoryNamespaceStore  │
    └──────┬───────────────────┬────────────────────────────────┘
           │                   │
  ┌────────▼────────┐  ┌───────▼──────────────────────────────┐
  │  3-Tier Memory  │  │  Task-Aware ModelRouter (13 providers) │
  │                 │  │                                        │
  │  Redis (hot)    │  │  complex_reasoning → Claude Opus 4.8  │
  │  Qdrant (ANN)   │  │  code_generation   → DeepSeek Coder   │
  │  SQLite (long)  │  │  summarization     → Gemini 2.5 Flash │
  │  + Compactor    │  │  cheap_inference   → Ollama (offline)  │
  │  + Archiver     │  └───────────────────────────────────────┘
  └─────────────────┘          │
           │            ┌──────▼──────────────────────────────┐
           │            │  ReflectionEngine                    │
           │            │  Relevance · Completeness · Accuracy │
           │            │  Tone · Score 0–100 · Auto-retry     │
           └────────────┴──────────────────────────────────────┘

Quick Start

Prerequisites

  • Python 3.12+
  • Git

Install

# One-liner (Linux / macOS)
curl -fsSL https://neuralcleave.com/install.sh | bash

# One-liner (Windows PowerShell)
iwr -useb https://neuralcleave.com/install.ps1 | iex

# Or via pip
pip install neuralcleave

# Or from source
git clone https://github.com/TheAmitChandra/NeuralCleave.git
cd NeuralCleave
pip install -e ".[dev]"

Initialise and start

# Interactive setup wizard
neuralcleave init

# Non-interactive (CI / Docker)
neuralcleave init -y

# Start the gateway
neuralcleave start

# Chat from the terminal
neuralcleave chat

Docker

docker run -d \
  --name neuralcleave \
  -p 7432:7432 \
  -v ~/.neuralcleave:/root/.neuralcleave \
  -e ANTHROPIC_API_KEY=sk-ant-... \
  -e TELEGRAM_BOT_TOKEN=1234:ABC... \
  ghcr.io/theamitchandra/neuralcleave:latest

curl http://localhost:7432/health
# → {"status":"ok","version":"2.1.4","agent":"NeuralCleave"}

Or with Redis + Qdrant included:

docker compose up -d

32 Channel Adapters

Every channel produces a normalised InboundMessage:

@dataclass
class InboundMessage:
    channel:    str           # "telegram" | "discord" | "slack" | ...
    sender_id:  str
    text:       str | None
    attachments: list[Attachment]
    session_id: str
    timestamp:  float
    raw:        dict          # full platform payload
# Channel Transport Auth
1 Telegram python-telegram-bot v21 Bot token
2 Discord discord.py v2, gateway WS Bot token
3 Slack slack-bolt Socket Mode App token
4 WhatsApp Meta Cloud API v19 Verify token
5 Email IMAP poll + SMTP (aiosmtplib) STARTTLS
6 SMS / Twilio TwiML webhook HMAC-SHA1
7 Microsoft Teams Azure Bot Framework OAuth2 24h token
8 Google Chat aiohttp webhook Service account JWT
9 Matrix matrix-nio sync_forever Access token
10 IRC asyncio RFC1459 SASL PLAIN
11 Signal signal-cli subprocess JSON-RPC daemon
12 LINE aiohttp webhook HMAC-SHA256
13 Feishu / Lark aiohttp webhook Tenant access token
14 iMessage BlueBubbles REST poll Password
15 Synology Chat aiohttp outgoing webhook Token
16 Nostr WebSocket relay, NIP-04 secp256k1 keypair
17 Twilio Voice TwiML asyncio.Future HMAC-SHA1
18 Zalo OA aiohttp webhook OAuth2 + HMAC-SHA256
19 WeChat Work aiohttp webhook SHA1 challenge
20 QQ Bot aiohttp webhook, op=13 HMAC-SHA256
21 Tlon / Urbit Eyre SSE + HTTP API Session cookie
22 Facebook Messenger Meta Graph API v19 HMAC-SHA256
23 Rocket.Chat DDP WebSocket REST v1 login
24 Twitch IRC-over-WebSocket IRCv3 OAuth token
25 Bluesky AT Protocol XRPC poll App password + JWT
26 Viber REST + webhook HMAC-SHA256
27 XMPP / Jabber slixmpp (MUC + 1:1) SASL PLAIN / SCRAM
28 Mattermost WebSocket events + REST v4 Access token
29 Mastodon Mastodon.py streaming OAuth2
30 Nextcloud Talk OCS v2 REST long-poll HTTP Basic
31 Generic Webhook aiohttp POST HMAC-SHA256 (opt.)
32 Built-in WS / REST /ws/chat + /api/v1/chat X-API-Key (opt.)

Configure any channel in ~/.neuralcleave/config.toml:

[channels.telegram]
bot_token = "ENV:TELEGRAM_BOT_TOKEN"

[channels.discord]
bot_token = "ENV:DISCORD_BOT_TOKEN"

[channels.slack]
app_token = "ENV:SLACK_APP_TOKEN"

Memory System

Every request
      │
      ├─ Redis (short-term)  score 1.0   active session keys, TTL 1h
      ├─ Qdrant (semantic)   score = ANN cosine, top-k=5, min=0.6
      └─ SQLite (long-term)  score = importance × 0.6
              │
        MD5 content dedup
              │
        Score-ranked, capped at top_k
              │
        Injected as context blocks before LLM call

All tiers degrade gracefully — if Redis or Qdrant is unavailable the pipeline continues with what's reachable.

Per-node memory isolation

Each AgentOrchestrator node owns a private MemoryNamespaceStore (LRU key-value, default max_entries=1000). Nodes are auto-isolated by name; explicit memory_namespace lets nodes share a pool.

from neuralcleave.orchestrator import AgentOrchestrator
from neuralcleave.orchestrator.node import AgentNodeConfig

orch = AgentOrchestrator()
orch.register(AgentNodeConfig(name="code"))
orch.register(AgentNodeConfig(name="review", memory_namespace="code"))  # shared

orch.memory_for_node("code").put("lang", "Python 3.12")

# REST
# GET    /api/v1/orchestrator/nodes/{name}/memory
# DELETE /api/v1/orchestrator/nodes/{name}/memory
# GET    /api/v1/orchestrator/namespaces

Session compaction

When conversation history hits 50% of the model's token budget, the MemoryCompactor summarises the oldest half into a single archive_summary entry via an LLM call, keeping the context window usable indefinitely.

# Trigger manually
curl -X POST http://localhost:7432/api/v1/memory/compact \
     -H "Content-Type: application/json" \
     -d '{"session_id": "abc123"}'

LLM Providers (13)

NeuralCleave routes each request to the optimal model based on task type. All keys use ENV: resolution — no secrets in config files.

Provider Alias Task strengths
Anthropic anthropic Complex reasoning, extended thinking
Google Gemini gemini Summarisation, cheap inference, general
OpenAI openai Code review, fallback for most tasks
DeepSeek deepseek Code generation, code review
Mistral AI mistral Complex reasoning fallback
xAI Grok xai, grok Complex reasoning
Cohere cohere Summarisation
Moonshot / Kimi kimi, moonshot General
Zhipu GLM zhipu, glm Intent extraction, cheap inference
Alibaba Qwen qwen, alibaba Code generation
Baidu ERNIE baidu, ernie General
ByteDance Doubao bytedance, doubao Cheap inference
Ollama ollama Offline / privacy mode (any local model)
from neuralcleave.models.router import ModelRouter

router = ModelRouter(anthropic_api_key="...", gemini_api_key="...")

result = await router.generate("Explain this stack trace", task_type="code_review")
print(result.text, result.model)   # answered by DeepSeek Coder (or fallback)

# Claude extended thinking
result = await router.generate(
    "Work through this proof",
    task_type="complex_reasoning",
    extended_thinking=True,
    thinking_budget_tokens=8000,
)
print(result.thinking)   # the reasoning trace

Override all routing at runtime:

curl -X POST http://localhost:7432/api/v1/settings/model \
     -H "Content-Type: application/json" \
     -d '{"provider": "ollama", "model": "llama3.2"}'

Voice

Full voice pipeline — all processing runs locally, no audio leaves the device unless you opt into ElevenLabs.

Microphone
    │
OpenWakeWord  ←── always-on, cross-platform (.tflite models)
    │ wake word
Whisper STT   ←── faster-whisper, tiny → large-v3, CPU or CUDA
    │ text
AgentRuntime  ←── full chat pipeline
    │ response
TTS Engine    ←── ElevenLabs → Kokoro (local) → pyttsx3 (system)
    │
Speaker
# Enable in config.toml
[voice]
enabled          = true
stt_model        = "base"      # tiny | base | small | medium | large-v3
tts_provider     = "kokoro"    # elevenlabs | kokoro | pyttsx3
wake_word_enabled = true
wake_word_model  = "hey_jarvis"

# Start continuous listener
neuralcleave voice start

# Clone a custom ElevenLabs voice
neuralcleave voice clone --name "MyVoice" --audio reference.wav
from neuralcleave.voice.stt import WhisperSTT
from neuralcleave.voice.tts import TTSEngine

stt = WhisperSTT(model_size="base")
text = await stt.transcribe(audio_bytes)

tts = TTSEngine()                         # ElevenLabs → Kokoro → pyttsx3
audio = await tts.synthesize("Hello!")    # returns bytes (MP3)

Plugin SDK

Plugins are standard Python packages discovered at startup via PEP 451 entry-points. Hot-reload with no gateway restart.

from neuralcleave_sdk import Tool, ToolResult, Plugin, PluginMetadata

class WeatherTool(Tool):
    name        = "get_weather"
    description = "Get current weather for a city."
    parameters  = {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}

    async def execute(self, city: str) -> ToolResult:
        return ToolResult(success=True, data={"temp": "22°C", "city": city})

class WeatherPlugin(Plugin):
    metadata = PluginMetadata(name="neuralcleave-weather", version="1.0.0",
                              description="Weather via OpenWeatherMap")
    def get_tools(self): return [WeatherTool()]
# pyproject.toml
[project.entry-points."neuralcleave.plugins"]
neuralcleave_weather = "neuralcleave_weather.plugin:WeatherPlugin"
pip install neuralcleave-weather          # install
neuralcleave plugins reload               # hot-reload (no restart)
neuralcleave hub search weather           # browse Hub marketplace
neuralcleave hub install neuralcleave-weather

Three reference plugins in examples/plugins/: neuralcleave-github, neuralcleave-notion, neuralcleave-google-calendar.


REST API

41 endpoints under /api/v1/, plus 2 WebSocket endpoints. Full interactive docs at http://localhost:7432/docs (Swagger UI) when the gateway is running.

Domain Endpoints
Health GET /health
Chat POST /api/v1/chat · WS /ws/chat
Memory 6 endpoints — list, search, store, delete, compact
Channels 3 endpoints — list, detail, send
Plugins 4 endpoints — list, detail, reload all, reload one
Hub 8 endpoints — list, search, install, uninstall, enable/disable, scan, status
Orchestrator 9 endpoints — nodes CRUD, route, status, memory, namespaces
Canvas 4 endpoints + WS /ws/canvas
Settings 3 endpoints — get all, override model, toggle privacy
Metrics GET /api/v1/metrics (Prometheus text/plain)
Push (PWA) 5 endpoints — VAPID key, subscribe, unsubscribe, list, notify
Sessions 2 endpoints — list, disconnect
# Chat
curl -X POST http://localhost:7432/api/v1/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "What is the capital of France?", "session_id": "s1"}'

# Check metrics
curl http://localhost:7432/api/v1/metrics

When gateway.api_key is set, include X-API-Key: <key> on all /api/* requests (/health and /ws/* are always exempt).


CLI

neuralcleave start               Start gateway + all configured channels
neuralcleave start --background  Start as a background daemon
neuralcleave stop                Stop the background daemon
neuralcleave status              Gateway / model / voice / memory summary

neuralcleave init                Interactive first-run wizard
neuralcleave init -y             Non-interactive (CI / Docker)

neuralcleave chat                Interactive terminal chat

neuralcleave plugins list        List loaded plugins and tools
neuralcleave plugins reload      Hot-reload all plugins (no restart)

neuralcleave hub list            Browse Hub marketplace
neuralcleave hub install <pkg>   Install a Hub package
neuralcleave hub search <q>      Search packages

neuralcleave voice start         Start continuous voice listener
neuralcleave voice stop          Stop voice listener
neuralcleave voice clone         Clone an ElevenLabs voice from audio

neuralcleave orchestrate list    List orchestrator nodes
neuralcleave orchestrate add     Register a new node
neuralcleave orchestrate route   Test routing for a task type

neuralcleave canvas open         Open live canvas in browser
neuralcleave skills list         List installed skill packages

neuralcleave autostart enable    Register gateway at OS login
neuralcleave autostart disable   Remove OS login registration

neuralcleave cloud deploy        Deploy to Railway / Render / Fly
neuralcleave cloud logs          Stream live logs from cloud

neuralcleave sandbox status      Show sandbox backend status

Configuration

# ~/.neuralcleave/config.toml
# All string values support ENV:VAR_NAME — resolved at startup, never stored

[agent]
name        = "NeuralCleave"
description = "My personal AI assistant"

[gateway]
host      = "127.0.0.1"
port      = 7432
api_key   = ""              # set to require X-API-Key on all /api/* routes
log_level = "INFO"

[models]
primary_provider  = "anthropic"
primary_model     = "claude-sonnet-4-6"
anthropic_api_key = "ENV:ANTHROPIC_API_KEY"
openai_api_key    = "ENV:OPENAI_API_KEY"
gemini_api_key    = "ENV:GEMINI_API_KEY"
deepseek_api_key  = "ENV:DEEPSEEK_API_KEY"
ollama_url        = "http://localhost:11434"
extended_thinking = false

[memory]
redis_url           = "redis://localhost:6379/0"
session_ttl_seconds = 3600
qdrant_url          = "http://localhost:6333"

[voice]
enabled           = false
stt_model         = "base"     # tiny | base | small | medium | large-v3
tts_provider      = "kokoro"   # elevenlabs | kokoro | pyttsx3
wake_word_enabled = false
wake_word_model   = "hey_jarvis"

[scheduler]
enabled = true

[channels.telegram]
bot_token = "ENV:TELEGRAM_BOT_TOKEN"

[channels.discord]
bot_token = "ENV:DISCORD_BOT_TOKEN"

Observability

GET /api/v1/metrics  →  Prometheus text/plain (scrape directly)
Metric Type What it tracks
nc_requests_total Counter Total chat requests by channel + provider
nc_request_duration_seconds Histogram End-to-end latency
nc_llm_tokens_input_total Counter Prompt tokens sent
nc_llm_tokens_output_total Counter Completion tokens received
nc_llm_errors_total Counter Provider failures by error type
nc_reflection_score Gauge Most recent quality score (0–100)
nc_reflection_retries_total Counter Responses regenerated by ReflectionEngine
nc_memory_rows_total Gauge SQLite long-term memory row count
nc_memory_compactions_total Counter Session compaction events
nc_active_sessions Gauge Active WebSocket sessions
nc_plugin_tool_calls_total Counter Plugin tool invocations by plugin + tool
nc_channel_messages_total Counter Inbound messages per channel
nc_orchestrator_routes_total Counter Routing decisions by node + task type

A pre-built Grafana dashboard is in deploy/grafana/neuralcleave-dashboard.json.


Deployment

# Docker
docker compose up -d

# Railway / Render — set env vars, push Dockerfile
# neuralcleave cloud CLI
neuralcleave cloud deploy
neuralcleave cloud logs --follow

See the full Deployment guide.


Testing

pip install -e ".[dev]"

pytest                                              # all 5,076 tests
pytest tests/unit/test_memory.py -v                # single module
pytest -k "telegram" -v                            # by keyword
pytest --cov=backend --cov-report=term-missing     # with coverage

All async tests use pytest-asyncio with asyncio_mode = "auto" — no per-test decorator needed. LLM provider tests use pre-recorded responses; no real API keys required for CI.


Project Structure

NeuralCleave/
├── backend/
│   ├── gateway/           FastAPI app, 41 REST endpoints, WebSocket, auth middleware
│   ├── channels/          32 adapters behind one ChannelAdapter ABC
│   ├── agent/             AgentRuntime, CognitivePipeline, SessionManager
│   ├── memory/            3-tier retrieval, compactor, archiver, tagging
│   ├── models/            ModelRouter, 13 provider modules
│   ├── orchestrator/      AgentOrchestrator, MemoryNamespaceStore
│   ├── canvas/            CanvasRenderer, WS broadcast, REST routes
│   ├── reflection/        ReflectionEngine, 4D scoring
│   ├── voice/             WhisperSTT, TTSEngine, WakeWordDetector, ContinuousListener
│   ├── plugins/           PluginRegistry, entry-point discovery, hot-reload
│   ├── hub/               HubRegistry, HubInstaller, PackageScanner
│   ├── pwa/               PWA manifest, Service Worker, Web Push routes
│   ├── sandbox/           LocalSandbox, DockerSandbox, SSHSandbox
│   └── tools/             ShellTool, BrowserTool, FileOpsTool, SkillWriter
├── neuralcleave_sdk/      Typed ABCs for plugin authors (published on PyPI)
├── examples/plugins/      neuralcleave-github, neuralcleave-notion, neuralcleave-google-calendar
├── frontend/              Next.js dashboard (Tauri v2 shell)
├── docs-site/             Technical docs — live at docs.neuralcleave.com
├── docs/
│   ├── SKILL.md                      Implementation knowledge base
│   ├── COMPETITIVE_ANALYSIS_OPENCLAW.md
│   └── IMPLEMENTATION_PLAN_v2.md
├── tests/
│   ├── unit/              5,076 tests, all passing
│   └── integration/
├── scripts/               install.sh, install.ps1, bundle_backend.*
├── .github/workflows/     ci.yml, plugins.yml, deploy-docs.yml, build-tauri.yml
├── Dockerfile
├── docker-compose.yml
└── pyproject.toml         `neuralcleave` entry point + pytest/ruff config

Desktop App

NeuralCleave ships a native desktop app built with Tauri v2.

Feature Description
Chat Streaming AI responses from any configured model
Memory browser Browse, search, edit, and delete long-term memory
Orchestrator View nodes, routing rules, per-node namespace stats
Canvas Live block renderer — text, markdown, code, charts, images
Skills Browse and manage Hub marketplace packages
Channels Connect and monitor all 32 adapters
Observability Real-time metrics, token usage, latency charts
System tray Ctrl+Shift+Space global hotkey; native notifications
Auto-start Optional launch at OS login

Download from Releases (.exe / .dmg / .deb / .AppImage).


Documentation

Full technical documentation at docs.neuralcleave.com

Page What's covered
Getting Started Install, init, start, Docker, PWA, autostart
Architecture Pipeline, routing algorithm, ReflectionEngine
Memory System 3-tier, compaction, archiver, namespace isolation
LLM Providers All 13 providers, task routing, extended thinking
Channels All 32 adapters with TOML config examples
Configuration Full TOML reference, ENV: secrets
CLI Reference All subcommands with flags
REST API All 41 endpoints + 2 WebSocket
Plugin SDK Tool, Plugin, ChannelAdapter, Hub, PackageScanner
Voice Whisper, TTS tiers, wake word, cloning
Observability 13 Prometheus metrics, ContextLogger, Grafana
Deployment Docker, Railway, Render, cloud CLI
Testing Test suite structure, writing tests, CI

Sponsors

NeuralCleave is built and maintained by a solo developer. If it's useful to you, sponsoring on GitHub directly funds the time spent on new channel adapters, LLM provider integrations, and keeping the memory system solid.

Sponsor

Sponsors at the README tier will be listed here.


License

Business Source License 1.1 — free for non-production use (development, evaluation, personal use). Production use requires a commercial license — contact ask.amitchandra@gmail.com. Converts automatically to Apache 2.0 on 2030-06-26.

The plugin SDK (neuralcleave-sdk) is MIT licensed and published separately on PyPI.


NeuralCleave — Built for people who want their AI to actually know them.

Created by Amit Chandra

Website · Docs · GitHub

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Signed by GitHub Actions, verified by PyPI on Jul 29, 2026.

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2.1.5 This release

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