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evo

已验证 · 实测可装 TIZ36

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—语言
2026-08-20最近推送
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功能简介

agent memory plugin based on CLP

✅
我们的评价
可用 — 实测通过,早期项目

agent memory plugin based on CLP 实测能干净安装、正常启动。早期项目,但功能可用。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

evo

Evolving memory for agents — recall before the model thinks, reflect after it answers.

License: MIT
Node
Status

evo is a provider-neutral memory service that gives AI coding agents durable, cross-session memory. It recalls relevant knowledge into the system prompt before a model step, and reflects completed turns into structured memory afterwards — so an agent keeps what it learned across sessions without you writing it down.

Why evo?

Local CLI agents (Claude Code, Codex, DeepSeek Harness) are stateless by default: each session starts from zero. User preferences, project conventions, pitfalls stepped into three times — all evaporate when the session ends.

evo solves this with a recall + reflect loop:

  • Recall: Before each prompt, assemble relevant memories into the agent's context
  • Reflect: After each successful turn, distill the conversation into structured memory items

The result: your agent becomes an experienced colleague who remembers the project.

Documentation

📖 Full documentation: https://evo-5.gitbook.io/evo/

Section Description
GitBook Docs Primary documentation site
Getting Started Requirements and installation
Host Integrations DeepSeek Harness, Claude Code, Codex
Concepts How recall + reflect works
Configuration All settings and environment variables
API Reference HTTP and service APIs
Development Contributing guide

Quick Start

DeepSeek Harness

./install_evo_dsps.sh

Claude Code

/plugin marketplace add TIZ36/evo
/plugin install evo

Codex

codex plugin marketplace add TIZ36/evo
codex plugin add evo@evo

Key Features

  • Structured memory: Every item has a scope, kind (fact, constraint, procedure, skill…), tags, and source
  • First-class skills: Procedural SOPs separate from declarative memories, with lessons learned tracking and a dedicated Skills tab in the Memory panel
  • Batch distillation: Turns are collected and distilled in batches for better memory quality
  • Local by default: SQLite storage via Node's built-in node:sqlite — nothing leaves the machine except reflection model calls
  • Workspace import: Existing CLAUDE.md, AGENTS.md, .codex/, and similar files are imported automatically
  • Provider-neutral: Works with DeepSeek Harness, Claude Code, and Codex through adapters

Status

evo is currently alpha (0.3.x). The core loop is stable and used daily, but APIs may change.

Current Limitations

  • Recall uses deterministic SQLite filtering and ranking, without embeddings
  • Consolidation runs automatically on the slow path (floor 24h / 72h converged, or large replay buffer); call consolidate() or use the web panel for manual runs
  • node:sqlite is still marked experimental by current Node releases (it ships with Node 22+)

Development

pnpm install
pnpm check          # test + typecheck + build + rule scan

See Contributing for the full development guide.

Project Rule

This is a personal open-source project. Company identity and sensitive information must never appear in the repository. Team attribution is "Paper team" only. See Project Rules for details.

License

MIT © TIZ36

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 evo」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:TIZ36/evo

Headless(CLI)profile:

dsh plugin --profile headless add github:TIZ36/evo

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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