/model: GPT-5.6 (sol, terra, luna) for OpenAI and OpenRouter, plus Grok 4.5 and Tencent Hunyuan HY3 on OpenRouter; tighter config-file permissions and a reworked onboarding OAuth flow for auxiliary models./autoskills; a new --output-format stream-json for headless / SDK clients; richer slash-command completions; Windows UTF-8 config reads; a TUI welcome-banner fix; langchain-openrouter 0.2.5./schedule or natural language, running unattended with shell-access gating for safety; self-linking memory that connects related observations into a knowledge graph (complements / contradicts / supersedes) as it grows; a read-only GET /api/models endpoint exposing the model registry to the WebUI picker; the main agent now always keeps its memory tools available; deps: deepagents 0.6.12 / langchain-quickjs 0.3.2.The subagent task tool cannot be exposed via ptc after deepagents 0.6.11 / langchain-quickjs 0.3 reserved task as the REPL global. Removed task from the code-interpreter PTC allowlist (task() stays available as the REPL global; async dispatch stays in PTC) and pinned deepagents[quickjs]~=0.6.11.openrouter_anthropic_prompt_cache=false); slash-command Enter now submits correctly when a command name prefixes another; pre-commit ruff bump.search_observations ranked keyword search + read_memory); multi-stage slash-command completions with subcommand awareness; Windows reliability fixes (async MCP tool execution + graph-state recovery after interruptions, cmd.exe path quoting); quoted virtual-path handling; deepagents 0.6.10.langgraph dev threads survive restarts (SQLite checkpointer + scoped thread restore), memory-worker checkpoint cleanup (delete-on-completion + startup purge), short thread IDs in /threads and resume hints.EvoSci deploy (--tunnel).EvoSci deploy standalone LangGraph server, default model → claude-sonnet-4-6, MiniMax M3, plus sandbox-timeout and async-notifier channel-routing fixes./compact.@file mentions, resume history, Feishu WebSocket, LaTeX setup.ask_user, headless serve mode.
One wizard configures everything — LLM provider, API keys, model selection, and workspace mode. Supports OAuth sign-in for Claude Code and Codex CLI users.
uv tool install EvoScientistEvoSci onboard and follow the promptsFrom user input to experimental output — every step orchestrated, every result verified.
From hypothesis to publication — each agent handles a dedicated stage of the experiment workflow.
6 specialized sub-agents — plan, research, code, debug, analyze, write — working in concert under a shared LangGraph state machine.
Context, preferences, and experimental findings survive across sessions. The system internalizes scholarly taste and builds on prior work.
Deep web search with structured 7-dimension reflection. Finds papers, methods, and baselines with enforced citation rigor.
Write, execute, and iteratively debug experiment code in a sandboxed workspace with 300s timeout, output limits, and auto-recovery.
6-phase process: Intake → Plan → Execute → Evaluate → Write → Verify. Baseline-first design with one-variable iteration for scientific rigor.
Plug in MCP servers or install research-lifecycle skills from GitHub. Compatible with other AI coding agents out of the box.
Long-running tasks dispatched to background workers via start_async_task. The main agent stays responsive and is notified on completion — true parallel multi-agent execution.
Per-turn tool filtering keeps only relevant tools visible. Dynamic system-prompt rewriting trims to conversation state. Automatic context overflow recovery prevents runaway sessions.
Approve high-risk tool calls before they run. Voice input via faster-whisper (zh/en/auto). 14 slash commands — /threads, /resume, /compact, and more.
9 LLM providers supported. One config to switch. Auto-detect model names or specify full IDs directly.
CLI as the hub. 10 messaging integrations — one agent session, any device.
13 research-lifecycle skills covering the full pipeline from ideation to publication. Install all with a single command. Also compatible with Claude Code, Cursor, and other AI coding agents.
Benchmarks · More agents · EvoSkills v2