Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Nanobot Overstory Bridge
Seamless bidirectional bridge between nanobot (Ollama Mistral orchestrator) and overstory (Claude Code agent swarm). Routes tasks through the OverClaw gatewa...
skill openclawclawhub Free
Seamless bidirectional bridge between nanobot (Ollama Mistral orchestrator) and overstory (Claude Code agent swarm). Routes tasks through the OverClaw gatewa...
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Install for OpenClaw
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- Open the source page and confirm the package flow manually.
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Package facts
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- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json, scripts/gateway_tools.py, scripts/generate_agent_context.py, scripts/memory_sync.py, scripts/overstory_client.py
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- RuneweaverStudios
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Documentation
OverClaw Bridge (nanobot-overstory)
The critical integration layer in the OverClaw stack. Connects nanobot (lightweight AI backend powered by Ollama Mistral) to overstory (Claude Code agent swarm system) through the OverClaw HTTP gateway on port 18800. nanobot handles task intake and orchestration; overstory handles all subagent creation, coordination, worktree management, and execution.
Architecture
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β nanobot β β (Ollama Mistral orchestrator β task intake & routing) β ββββββββββββββββββββββββ¬βββββββββββββββββββββββββββββββββββββββ β task_router.py β (classify β capability β overstory format) βΌ βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β nanobot-overstory Bridge β β β β ββββββββββββββββ ββββββββββββββββββ ββββββββββββββββββ β β β task_router β β session_bridge β β memory_sync β β β β .py β β .py β β .py β β β β β β β β β β β β route_task() β β create_mapping β β sync_to_over() β β β β translate() β β get_agent() β β sync_from() β β β β capability() β β cleanup() β β prune() β β β ββββββββ¬ββββββββ βββββββββ¬βββββββββ βββββββββ¬βββββββββ β β β β β β β ββββββββββββ¬ββββββββ΄βββββββββββββββββββββ β β β β β overstory_client.py β β (subprocess wrapper around `overstory` CLI) β ββββββββββββββββββββββ¬βββββββββββββββββββββββββββββββββββββββββ β βΌ βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β overstory β β (Claude Code agent swarm β subagent lifecycle & execution) β β β β coordinator β supervisor β agents (worktrees) β β mail system, merge, inspect, status β βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
overstory_client.py
Python wrapper around the overstory CLI binary. Provides a clean OverstoryClient class with methods for every overstory operation: sling, status, inspect, mail_send, mail_read, coordinator_start, supervisor_start, merge, and list_agents.
task_router.py
Translates nanobot task descriptions into overstory-compatible formats. Maps task intent to overstory capabilities: Task PatternCapabilityResearch, trends, analysisresearcherSocial media, posting, tweetssocial-media-managerBlog, article, contentbloggerCode, build, fix, implementbuilderExplore, find, searchscoutLogs, memory, notesscribeReview, mergereviewer
session_bridge.py
Maintains a persistent mapping between nanobot session IDs and overstory agent names. Uses SQLite at ~/.nanobot/session_bridge.db for thread-safe, persistent storage. Supports stale mapping cleanup.
memory_sync.py
Bidirectional memory synchronization. Pushes nanobot's MEMORY.md context to overstory agents before task execution, and pulls agent insights back into nanobot's memory after completion.
From Python
from overstory_client import OverstoryClient from task_router import TaskRouter from session_bridge import SessionBridge from memory_sync import MemorySync client = OverstoryClient() router = TaskRouter(client) bridge = SessionBridge() memory = MemorySync() # Route a task from nanobot to overstory result = router.route_task("Research trending AI papers this week") # result: {"capability": "researcher", "agent_name": "researcher-abc123", ...} # Check agent status status = client.status("researcher-abc123") # Send inter-agent mail client.mail_send("coordinator", "researcher-abc123", "Priority update needed") # Sync memory before/after memory.sync_to_overstory() memory.sync_from_overstory({"insight": "Found 3 key papers on reasoning"})
From CLI
# Route a task python3 scripts/task_router.py route --task "Build a REST API for the dashboard" --json # Check overstory status python3 scripts/overstory_client.py status --json python3 scripts/overstory_client.py status --agent researcher-abc123 --json # Spawn an agent python3 scripts/overstory_client.py sling \ --capability builder \ --name "api-builder" \ --description "Build REST API for dashboard" --json # Sync memory python3 scripts/memory_sync.py sync --direction to_overstory --json python3 scripts/memory_sync.py sync --direction from_overstory --json # List session mappings python3 scripts/session_bridge.py list --json # Clean up stale mappings python3 scripts/session_bridge.py cleanup --max-age 24 --json
Requirements
Python 3.9+ overstory CLI installed and on PATH (or set OVERSTORY_BIN env var) OverClaw gateway running on port 18800 (scripts/start-overclaw.sh) Ollama with Mistral model SQLite3 (bundled with Python)
Environment Variables
VariableDefaultDescriptionNANOBOT_GATEWAY_URLhttp://localhost:18800OverClaw gateway URLOVERCLAW_PORT18800OverClaw gateway portOVERSTORY_BINoverstoryPath to overstory binaryNANOBOT_WORKSPACE/Users/ghost/.openclaw/workspaceWorkspace rootNANOBOT_SKILLS_DIR<workspace>/skillsSkills directoryNANOBOT_MEMORY_PATH<workspace>/MEMORY.mdPath to MEMORY.mdSESSION_BRIDGE_DB~/.nanobot/session_bridge.dbSession mapping databaseBRIDGE_LOG_LEVELINFOLogging verbosity Note for existing nanobot/OpenClaw users: OverClaw runs on port 18800, separate from the legacy OpenClaw gateway (18789) and nanobot default (18790). No conflicts.
Integration Flow
nanobot receives task from user via TUI/API task_router classifies the task and determines the overstory capability session_bridge creates a mapping between nanobot session and upcoming overstory agent memory_sync pushes relevant context to overstory overstory_client spawns the agent via overstory sling overstory manages the agent lifecycle (worktree, execution, mail) On completion, overstory_client retrieves results via inspect/status memory_sync pulls insights back into nanobot memory session_bridge marks the mapping as completed nanobot delivers the result to the user
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Scripts1 Docs1 Config
- SKILL.md
- scripts/gateway_tools.py
- scripts/generate_agent_context.py
- scripts/memory_sync.py
- scripts/overstory_client.py
- _meta.json