GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
41views this month
Decision brief
imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI.
Good fit when
- When you need to manage unified memory and context across different AI agent providers for consistent performance evaluation and inter-agent cooperation.
- For projects requiring strict oversight of AI agent activities through supervised execution, ensuring actions are verifiable and accountable.
Avoid when
- If your project strictly requires proprietary tooling that does not allow cross-provider usage or if you aim to avoid external memory management for security reasons.
- When the integration complexity of supporting multiple providers is a barrier, and you prefer simpler, single-provider solutions with less overhead in terms of setup and maintenance.
- Requirements:
- Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (973) are secondary evidence.
- npm downloads (30d)
- 160,053·npm downloads API·Sep 20, 2026
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install imcodesSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A platform supporting shared context and memory for AI agents, featuring supervised execution and cross-agent audits across various providers including Claude, Codex, Gemini, OpenAI.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Sep 20, 2026
- MCP server
- Ships MCP server
Source: package.json:@modelcontextprotocol/* · Sep 20, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Install Quick Start Self hosting is strongly recommended. The shared instance at is for testing only — it comes with no uptime guarantees, may be rate limited, and could be targeted. This is a personal project with no commercial support. For anything beyond evaluation, deploy the...
For agents
This page has a .md twin and JSON over the API.