Your AI agents don’t sleep. Now neither does their memory.
Step away from your desk and productivity drops to zero. AgentiBridge makes your Claude Code sessions persistent, searchable, and remotely controllable — from any MCP client.
The Problem
Your Claude Code sessions disappear when the terminal closes. Your IDE history is locked to one machine. When you leave your desk, your agent productivity drops to zero.
AgentiBridge fixes this.
It indexes every Claude Code transcript automatically, makes them searchable with AI-powered semantic search, and lets you dispatch and monitor tasks from any device — your phone, another laptop, or claude.ai.
Features
Semantic Search
Ask natural language questions across all your past sessions. Powered by pgvector embeddings — no keyword matching needed.
Background Dispatch
Fire-and-forget task dispatch with session restore. Resume work where you left off, from any device.
Quick Start
pip install agentibridge
agentibridge run
curl http://localhost:8100/health
Add to your MCP config (~/.mcp.json):
{
"mcpServers": {
"agentibridge": {
"url": "http://localhost:8100/mcp"
}
}
}
That’s it. Your Claude Code sessions are now searchable from any MCP-compatible client.
Zero dependencies to start — filesystem-only storage out of the box. Add Redis for caching and Postgres for semantic search when you need them.
16 MCP Tools
Foundation
| Tool | What it does |
|---|---|
list_sessions | List sessions across all projects |
get_session | Full session metadata + transcript |
get_session_segment | Paginated/time-range transcript retrieval |
get_session_actions | Extract tool calls with counts |
search_sessions | Keyword search across transcripts |
collect_now | Trigger immediate collection |
AI-Powered
| Tool | What it does |
|---|---|
search_semantic | Semantic search using embeddings |
generate_summary | Auto-generate session summary via LLM |
Dispatch
| Tool | What it does |
|---|---|
restore_session | Load session context for continuation |
dispatch_task | Fire-and-forget background job dispatch |
get_dispatch_job | Poll a background job for status and output |
Knowledge Catalog
| Tool | What it does |
|---|---|
list_memory_files | List memory files across projects |
get_memory_file | Read a specific memory file |
list_plans | List plans sorted by recency |
get_plan | Read a plan by codename |
search_history | Search the global prompt history |
Architecture
flowchart LR
E([Any AI Client]) -->|query| D
D -->|read| C[(SessionStore)]
C -->|indexed by| B[Collector]
B -->|watches| A([Claude Code sessions])
classDef sessions fill:#6366f1,stroke:#4338ca,color:#fff
classDef collector fill:#f59e0b,stroke:#d97706,color:#fff
classDef store fill:#10b981,stroke:#059669,color:#fff
classDef tools fill:#8b5cf6,stroke:#7c3aed,color:#fff
classDef client fill:#06b6d4,stroke:#0284c7,color:#fff
class A sessions
class B collector
class C store
class D tools
class E client
Deployment Options
| Minimal | Standard | Production | |
|---|---|---|---|
| Install | pip install agentibridge | docker compose up -d | Docker + Cloudflare Tunnel |
| Storage | Filesystem only | Redis + filesystem | Redis + Postgres (pgvector) |
| Search | Keyword only | Keyword only | Keyword + semantic |
| Access | Local only | Local network | Internet (HTTPS) |
| Auth | None | API key | OAuth 2.1 + API key |
| Dispatch | N/A | Local bridge | Remote bridge |
FAQ
Isn't this just session history?
History is the data layer. The product is remote fleet control — dispatch tasks from your phone, search sessions from any MCP client, monitor jobs from claude.ai. You go from 0% productivity away from your desk to controlling your agents from anywhere.
VS Code / Cursor already has conversation history.
IDE conversation history is excellent for local replay within that IDE. AgentiBridge serves CLI-first developers and adds capabilities no IDE provides: remote multi-client access, background dispatch from any device, and semantic search across your full session history.
Won't Anthropic build this natively?
AgentiBridge is self-hosted, vendor-neutral infrastructure. Native features optimize for one vendor’s client. AgentiBridge works with Claude Code, claude.ai, ChatGPT, Grok, and any MCP client. Your data stays on your machine. MIT licensed — no lock-in.
Do I need Redis and Postgres?
No. pip install agentibridge && agentibridge run works with zero dependencies — filesystem-only storage out of the box. Add Redis for caching and Postgres for semantic search when you need them.
Is my data sent anywhere?
No. No telemetry, no SaaS dependencies. Cloudflare Tunnel is opt-in, and even then only MCP tool responses traverse the tunnel — your transcripts stay local.
Which clients are supported?
Claude Code CLI, claude.ai, ChatGPT, Grok, and any MCP-compatible client. Run agentibridge connect for ready-to-paste configs.
Ready to make your AI agents persistent?
pip install agentibridge