Run dozens of agents,without cognitive overload
- Branch easily to explore parallel ideas
- Visually track all work history - experiments, discussions, commits
- Automatic worktree management
- Powerful multi-agent orchestration in natural language
- Tools to let agents explore previous conversation graph
Parallel agents should not feel chaotic.
Top engineers are already running many agents at once. The expensive part is tracking what each agent is doing, conversation forks, and important messages with useful ideas.
$ Analyzing src/auth...
> Found 3 issues to fix
ERROR: Port 3000 in use
_
$ Generating types...
M src/api/types.ts
> 247 changes written
_
$ npm test
FAIL Button.test.tsx
Timeout after 30s...
$ git merge main
CONFLICT! schema.prisma
<<<<<<< HEAD
? which agent modified auth.ts?
# Lost in context chaos...
What your agent fleet is missing.
Agentree is a powerful interface designed from first principles for managing AI coding work: easily run multiple agents, visually track agents, branches, and commits, orchestrate complex workflows, and merge work from multiple agents intelligently.
Write powerful workflows in natural language
Implement above plan using two agents in parallel - gpt5.5 and latest claude. Synthesize best work from both. Create a reviewer node as sibling to review. Create fixer node to fix based on review. Keep running reviewer, fixer loop until reviewer is satisfied. Max 3 loops.
Auto worktree handling
Agentree automatically creates worktrees for each message, commits the agent's changes, and cleans up the worktree. This allows you to run parallel experiments without thinking about worktree management.
Agents can read conversation graph
Current agents forget their past work, causing scope drift. Agentree makes it extremely easy for agents to query their past work and the context behind it.
Team-aware context
Coming soonYour team shares a single reasoning graph. When one person's agent discovers something, another agent can inherit that context without rediscovering it.
Visual topology
See every agent, branch, commit, and referenced context in one versioned graph. The work becomes inspectable instead of scattered across shell history.
Without a graph, useful agent work disappears.
Great agent work is exploratory. You ask hundreds of questions, try dozens of directions, and keep only the best outcome. Without a graph, those detours either poison the context or disappear into manual forks.
Lost Experiments
Agent fails after 20 minutes. You close the terminal. That entire exploration is gone, including every attempt and insight.
With Agentree: Every session lives in the graph. Failed or successful, nothing disappears. Your next agent inherits what was already tried.
Poisoned Context
Agent hallucinated a bad fix. Now its context window is contaminated. You spend 30 more minutes fighting it instead of starting fresh.
With Agentree: Branch from any message. Agentree parks the failed attempt in its own branch and preserves the lessons.
Blind Duplication
Agent 7 spends 15 minutes discovering the same missing dependency that Agent 4 already found. No one told it.
With Agentree: Route context between agents. Agent 7 sees what Agent 4 already learned instantly. No wasted tokens, no repeated mistakes.
Team Silos
Your teammate's agent spent an hour exploring auth patterns. You have no idea. Your agent starts from zero, rediscovering the same dead ends.
With Agentree: Shared reasoning graph. See every AI discussion from your team. Branch from any message and continue the exploration where they left off.
Run multiple agents without chaos.
Start with a plain-English workflow. Agentree keeps the agent runs, branches, waits, retries, and history visible in one graph.
Apple Silicon beta build for macOS and Linux x86_64 AppImage.