Plugin directory / Knowledge / evo
evo
Verified · install-tested on dsh TIZ36
What it does
agent memory plugin based on CLP
Works — verified, early-stage project
agent memory plugin based on CLP It installs cleanly and boots without issues in our testing. It's early-stage but functional.
“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.
README
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:sqliteis 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
Install
Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:
dsh plugin add dshbase-catalog Then say "install evo for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.
This plugin is GitHub source (not published to npm) — install it straight from the repo:
Web profile:
dsh plugin --profile web add github:TIZ36/evo Headless (CLI) profile:
dsh plugin --profile headless add github:TIZ36/evo Test report
Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.