AIlice provides an autonomous, general-purpose AI agent through its open-source repository.
Open source
24 alternativespiia-engram
piia-engram provides local-first AI memory that users can inspect and edit across coding tools.
About piia-engram
piia-engram is an open-source, local-first personal AI identity layer for MCP-compatible coding tools such as Claude Code, Codex, Cursor, and Windsurf. It stores your preferences, quality standards, lessons learned, decisions, and project context as JSON and Markdown files under ~/.engram/, so several coding agents can start from the same understanding of you. The project describes itself as a user-owned layer above each tool's native memory, not an agent memory database.
AI-proposed writes are governed by an approval policy. High-risk items, including credentials, shell commands, MCP configuration, and permission rules, wait for user review. Low and medium writes are absorbed automatically but remain auditable and reversible. The ENGRAM_APPROVAL=strict setting gates every write. A "verified" item means it was accepted by the user or by the configured policy; it is not re-checked against current code. Session resume output can also include unreviewed checkpoints and snapshots, which do not authorize actions. The core store does not require a cloud account, but the source does not describe every external service that may be involved.
Key features
- Keeps preferences, lessons, decisions, and project context as local JSON or Markdown files
- Memory Lens preview shows what an AI caller would receive and what governance withheld
- High-risk items such as credentials and shell commands wait for user review
- Low and medium writes are auto-absorbed, auditable, and reversible
- Strict approval mode gates every write through the ENGRAM_APPROVAL=strict setting
- Setup wizard lists config files it will change and backs them up before writing
Best for: Developers who use several MCP-compatible coding agents and want a shared, user-owned set of preferences and project context that they can review and edit.
Good for
- Core store lives on the user's machine and does not require a cloud account
- Open source repository with documented trust model, privacy, and security notes
- Users can review high-risk items and audit or reverse low and medium writes
Watch out for
- Session resume output can include unreviewed checkpoints and snapshots that do not authorize actions
- "Verified" means accepted by the user or policy, not re-checked against current code
- Approval and review claims apply only to identity and long-term knowledge under the configured policy
piia-engram at a glance
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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piia-engram FAQ
Does piia-engram require a cloud account?
No. The project says it installs with pip and keeps the core store on the user's machine, with no cloud account needed.
What does a "verified" item mean?
It means the item was accepted by the user or by the configured approval policy. It is not re-checked against the current code.
Can I see what an AI tool would receive before it is sent?
Yes. The Memory Lens preview (engram preview --html) shows what an AI caller would receive and what governance withheld.
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