norpagent

Copyright (c) 2026 xingluosama121, MIT Licensed

norpagent is a registry-based, pluggable component framework for building agents.

Models, tools, session management, sandbox environments, task scheduling, context stores, user interfaces, and external plugins are all independent components resolved by name through a registry. Developers can replace or combine components without modifying framework core code.

Core concepts

+--------------------------------------------------------------+
|                           Registry                           |
|   models / tools / sessions / sandboxes / schedulers / UI /  |
|                     plugins / components                     |
+--------------------------------------------------------------+
|                            Preset                            |
|   Declarative config: component selection + behavior params, |
|                    defining a run mode                       |
+--------------------------------------------------------------+
|                   AgentRuntime (generic loop)                |
|   Decoupled from specific models/tools: message build ->     |
|           model call -> tool execution -> backfill           |
+--------------------------------------------------------------+

• Models: registry.register_model("my_model", MyModelProvider()), referenced by name in presets
• Tools: registry.register_tool("my_tool", MyTool()); register a whole plugin with registry.register_plugin(MyPlugin())
• Replaceable components: session stores, sandboxes, task schedulers, UI adapters, context stores, project managers
• Generic component namespace: registry.register_component(kind, name, factory); presets declare components={"kind": "name"}

Installation

pip install norpagent                  # Core package, no third-party dependencies (Mock model + built-in tools)
pip install norpagent[openai]          # OpenAI-compatible model adapter (OpenAI/DeepSeek/Qwen/vLLM/Ollama)
pip install norpagent[anthropic]       # Claude series model adapter
pip install norpagent[web]             # Web access enhancement (requests + bs4; stdlib engine used when not installed)
pip install norpagent[security]        # Plugin signature verification (cryptography; without it signatures are treated as untrusted)
pip install norpagent[all]             # All optional dependencies

Model adapters and tools are registered with the core package and lazy-loaded by the SDK: missing extras do not affect registration or mode listing; an install hint is shown only when the component is actually invoked.

Quick start (np() entry point, since v0.5)

import norpagent as np

np()                        # standard preset + Web frontend (all built-in tools)
running = True
while running:
    if np.stop() == True:   # lifecycle function: exit when the application ends
        running = False

After startup the console prints [norpagent] listening on http://127.0.0.1:8787/; open that address in a browser to get the chat UI (front.html: multi-tab sessions / streaming rendering / settings / plugin panel). The UI language can be set with np(language="zh_CN") (default: English).

• The default preset is standard: the model can use all built-in tools (files / commands / web / context management / project management / long-running task collaboration). Without an API key the mock model is used automatically; enter a model and key in the UI "Settings" to switch to a real model;
• "Settings -> Reasoning effort" maps to the model's reasoning_effort (passed through for OpenAI reasoning models and DeepSeek V4; DeepSeek V4 transmits the chain-of-thought reasoning_content separately from the body text, and the kernel passes it back verbatim on rounds where tool calls occurred; selecting "off" in the UI translates to DeepSeek V4's thinking=disabled). When reasoning is enabled the temperature parameter is disabled automatically;
• The "Project root" default follows the OS (Windows: Documents\NORP-Agent; macOS: ~/Documents/NORP-Agent; Linux: ~/norpagent-workspace); the "Browse" button opens a directory picker (navigation via a read-only backend listing).

Web UI behavior and persistence:

• 模块流程编排（FLOW）：Web UI 顶栏的「🧩 流程编排」按钮（或直接访问 /flow）打开模块流程画布——模块是方块、注册的钩子是端口、beam 连线即 执行链路。RUN 会把画布图提交给后端用注册表真实组件拓扑执行 （模型 / 工具 / 沙箱 / 插件 / 安全），进度经 SSE 实时回显；核心模块坞按 注册表快照渲染，拖入 .py 文件即走完整安全管线真实注册（一个钩子 = 一个节点）；工具/插件等任意模块可装入工具容器（成员在 TB 下方 从上到下排列，容器外侧端口 = 成员端口并集 + 自身端口）。 详见 docs/flow.md；
• Settings persistence: model / API key / language / plugin directory settings are persisted to ~/.norpagent/webui_config.json after saving in the browser (overridable with the NORPAGENT_WEBUI_CONFIG environment variable); they survive page refreshes and np() process restarts;
• Page cache prevention: page responses carry Cache-Control: no-store;
• Client disconnect handling: browser refresh / tab close / curl interruption are handled silently without tracebacks in the console;
• Port fallback: if 8787 is taken, up to 10 subsequent ports are tried; the console prints the actually bound port;
• Request body guards: negative Content-Length is treated as no body; request bodies over 1MB are rejected;
• Event routing: kernel session ids match browser tab ids; reasoning / reply / task-done events are delivered to the corresponding session.

Architecture slots + address functions: apart from the low-level minimal kernel (ArchLayer / address resolution / registry / event bus), all components are slots. No address = default logic; an address = plug in an implementation:

np(preset="standard")                                  # preset mode
np(model="openai_compat")                              # model
np(async_loop="myapp.loop:create")                     # event loop system
np(frontend="norpagent.frontends.console:ConsoleFrontend")  # console frontend
np(frontend="norpagent.frontends.headless:HeadlessFrontend")# headless (output printed to stdout)
np(port=9000, language="zh_CN")                        # Web port and UI language
np(session="sqlite", sandbox="pooled", security="high")# component replacement
loop = np.nasyncio("myapp.loop:create")                # standalone architecture function for the loop system

Single task (headless mode, output printed to stdout):

np(prompt="Summarize the README", preset="standard")
while True:
    if np.stop():
        break
print(np.current().last_result.final_content)

See docs/DEVELOPER_MANUAL.md for the developer manual.

Quick start (manual assembly)

from norpagent import Registry, AgentRuntime
from norpagent.builtin import install_defaults
from norpagent.modes import register_all_presets

reg = Registry()
install_defaults(reg)          # register built-in models/tools/sessions/sandboxes/schedulers/UI/components
register_all_presets(reg)      # register standard / ptc / minimal / creative presets

agent = AgentRuntime(reg, preset="minimal")
result = agent.run("hello")
print(result.final_content)

Command line:

python -m norpagent --list-modes        # list all preset modes
python -m norpagent --mode minimal      # interactive REPL in minimal mode
python -m norpagent --mode standard --model mock --prompt "..."   # single task (mock model)
python -m norpagent --mode standard --model-name deepseek-v4-flash --base-url https://api.deepseek.com/v1
python -m norpagent --mode ptc --prompt "Call the echo tool from code" --model mock
python -m norpagent --mode-file my_mode.py   # load a custom mode file
python -m norpagent --mode standard --session sqlite --call-timeout 60   # persistent session + hard timeout
python -m norpagent --mode standard --ui web --port 8787      # Web UI (HTTP + SSE event stream)
python -m norpagent --mode standard --plugin-dir ./my_plugins  # load external plugins (signature -> audit -> import restriction)
python -m norpagent plugin-sign --gen                        # generate a plugin signature keypair
python -m norpagent plugin-sign my_plugin.py --key <private-key-hex>  # sign a plugin (generates .sig)

Preset modes

Built-in component catalog

Model adapters

Tools

Sessions / sandboxes / scheduling / UI / components

Context management

Agents write intermediate conclusions, external material, and code snippets from long-running tasks into the context store for cross-session, cross-task retrieval:

from norpagent.builtin.context import FTS5ContextStore

store = FTS5ContextStore()                    # default ~/.norpagent/context.db
store.add("The network module falls back between the requests and urllib engines", source="notes", title="network")
hits = store.search("network engine")         # BM25 relevance ranking, mixed Chinese/English tokenization

After a preset declares components={"context_store": "fts5"}, tools access the store via ctx.context_store; to replace the implementation, register another component factory - no core code changes needed.

Task scheduling and multi-agent collaboration

from norpagent.builtin.scheduler.persistent import PersistentTaskScheduler
from norpagent.protocols.scheduler import AgentTask

sched = PersistentTaskScheduler()             # tasks persisted to disk, survive process restarts
sched.submit(AgentTask(id="", user_input="Organize documents", params={"priority": 0}))
sched.submit(AgentTask(id="", user_input="Run tests", params={"priority": 5}))
sched.resume()                                # crash recovery: leftover running tasks re-queued

agent = AgentRuntime(reg, preset="standard")
results = sched.drain(agent.task_runner())    # execute by priority; subtasks may specify a different preset

Models submit subtasks via the task_submit tool; task.preset_name selects a different mode, i.e. a different sub-Agent (sharing the same registry and component store).

External plugins

from norpagent.plugins import install_plugin_dirs

loader = install_plugin_dirs(registry, ["my_plugins"], config={
    "plugin_security_audit": "warn",          # off / warn / block
    "plugin_security_import_restrict": "off", # off / safe / strict
    "plugin_signature_verify": True,          # Ed25519 verification (norpagent[security])
    "plugin_network_policy": "deny",          # deny / audited_public / public_only / allow_all
})
for info in loader.plugins:
    print(info.name, info.signature_status, info.enabled)

Plugin format: module-level PLUGIN_NAME / TOOLS (OpenAI function schemas) / execute(tool_name, args, ctx) / 15 lifecycle hooks / APPROVAL_HINTS.

Plugin loading security pipeline: discovery -> signature verification (invalid rejected) -> AST audit (critical rejected, including getattr / dict reflection bypass detection) -> permission declaration check -> import restriction (static precheck + runtime meta_path interception) -> adapter registration. Trusted signatures relax the audit level.

PluginSystem facade and process-level isolation:

from norpagent.plugins import PluginSystem

ps = PluginSystem(registry, ["my_plugins"], config={"plugin_isolation": "auto"})
ps.load(); ps.status(); ps.reload("my_tool"); ps.shutdown()

Module-level ISOLATION = "process" enables process-level plugin isolation: plugin code is loaded and executed only inside a host subprocess (python -m norpagent.plugins.host, JSON-lines RPC protocol); tools and hooks are forwarded over RPC, crashes restart automatically, hook execution is time-limited. Every pipeline stage (discovery/load/audit/register) is a hook; HookVeto can abort the current stage.

9 layers, 29 hooks (norpagent.hooks)

Execution structures are exposed as hook APIs and can be intervened on:

from norpagent.hooks import before_model_call, after_tool_call, HookVeto, HookLayer

before_model_call.subscribe(logger, system=reg)        # module-level subscription
agent.hooks.after_tool_call.subscribe(observer)        # runtime-bound view

def forbid_rm(event):                                   # mutating hook: raise HookVeto to abort the current execution structure
    if event.get("tool_name") == "file_delete":
        raise HookVeto("deleting files is forbidden")
agent.hooks.before_tool_call.subscribe(forbid_rm)

net = HookLayer("L10_network", order=100)              # custom layer + custom hook
net.hook("before_network_call", mutating=True)
agent.hooks.install_layer(net)

Nine layers: L1 runtime lifecycle -> L2 task -> L3 input -> L4 session and history -> L5 message assembly -> L6 step -> L7 model call -> L8 tool call -> L9 result finalization. Mutating hooks can rewrite the data flow (input/messages/arguments/results); see docs/hooks.md.

Security system entry point: norpagent.safe()

from norpagent import safe

kit = safe(reg, level="standard")     # enable security components by level (basic/standard/high)
kit.scan_input(text)                  # jailbreak/injection detection
kit.harden(prompt, tools)             # prompt hardening
kit.audit_file(path)                  # AST audit
kit.verify_plugin(path)               # signature verification
kit.check_network(url)                # SSRF verdict

Security components (guard/hardening/approval/audit/signature/network policy/isolation policy) are provided uniformly by norpagent.safe(): input guard = L3 hook, prompt hardening = L5 hook, the remaining runtime policies = registry.security; the kernel does not depend on norpagent.security directly. See docs/security.md.

Security guards (norpagent.security)

from norpagent.security import (
    SourceAuditor,       # AST source audit: dangerous calls/imports/dynamic bypasses
    NetworkPolicy,       # plugin network policy + SSRF protection
    ApprovalPolicy,      # human approval: native tool confirmation + plugin tool approval
    scan_message,        # jailbreak/prompt injection detection (DAN/role override/zero-width chars/Base64)
    SignatureVerifier,   # Ed25519 plugin signature verification
)

Kernel integration (opt-in):

• params["jailbreak_guard"] = True: block jailbreak/injection before user input reaches the model;
• params["harden_prompt"] = True: append security hardening rules to the system prompt;
• params["approval_policy"] / params["approval_config"]: human approval before tool calls (via UI ask_user; user denial blocks the call).

Preset definition example

from norpagent.kernel.presets import Preset

MY_PRESET = Preset(
    name="my_mode",
    description="custom mode",
    model="openai_compat",           # any registered model name
    tools=["file_read", "exec_cmd"], # any registered tool names
    session="sqlite",                # session store (memory / sqlite)
    sandbox="pooled",                # sandbox (subprocess / pooled)
    scheduler="persistent",          # task scheduling (simple / persistent)
    ui="web",                        # user interface (console / web)
    components={                     # generic component assembly
        "context_store": "fts5",
        "project_manager": "basic",
    },
    params={
        "max_steps": 32,
        "temperature": 0.7,
        "task_timeout": 0,           # task timeout in seconds (checked at round boundaries, 0 = unlimited)
        "call_timeout": 60,          # hard timeout per model call in seconds (kills a blocked call, 0 = unlimited)
        "workspace_root": ".",       # workspace root for file tools
        "jailbreak_guard": True,     # jailbreak/injection interception
        "harden_prompt": True,       # system prompt hardening
    },
)

Timeouts (two levels)

• task_timeout: task-level timeout, checked at round boundaries (the model call is synchronous and blocking);
• call_timeout: model-call-level hard timeout, mapped to the model API request timeout. On timeout the main loop stops waiting and returns a timeout result; the background request thread is marked cancelled (params["_cancel_event"], letting the adapter's streaming loop exit early) and is reclaimed in shutdown().

Plugin protocol (in-process)

class MyPlugin:
    name = "my_plugin"
    version = "1.0.0"
    publisher = "me"

    def get_tools(self):            # register tools with the Agent
        return [EchoTool()]

    def get_hooks(self):            # subscribe to Agent lifecycle events
        return {"on_task_done": self.on_done}

    def on_done(self, event):
        print("task done:", event.payload)

External (file) plugins are loaded through the norpagent.plugins loader and pass the signature verification / audit / import restriction / network policy / human approval security pipeline.

Security behavior

• Workspace path locking: file tools require paths relative to the workspace root; absolute paths, .. traversal, and symlink escapes are rejected;
• SSRF protection: web tools only allow public http/https; after DNS resolution loopback/private/link-local addresses are rejected;
• Sandbox pool hard kill: command timeout kills the entire process tree (Windows taskkill /T, POSIX process-group SIGKILL); killed instances are not reused;
• Plugin security pipeline: signature -> AST audit (including reflection bypass detection) -> permission declaration -> import restriction;
• Jailbreak guard: DAN/role override/restriction-removal pattern matching + zero-width characters + Unicode homoglyphs + Base64 hidden instruction detection;
• PTC restricted execution: run_python builtin whitelist + imports disabled.

Documentation