Releases·Tool Release
ai-memory-skillpack: fail-closed project-memory skill pack for Codex CLI ships as MIT-licensed v1.25.1 on GitHub
The ai-memory-skillpack project shipped a bounded, fail-closed project-memory system positioned as 'the memory plane for Codex', targeting OpenAI's Codex CLI with optional support for Claude Code from the same skill source. It gives practitioners a way to add persistent project memory to coding agents without unbounded memory growth.
24 engagement1 sourceTue, Sep 8, 2026, 05:07 AM
AI Overview
- ai-memory-skillpack (v1.25.1, MIT) adds a bounded, fail-closed project-memory layer for Codex CLI, with optional Claude Code support on the same skill source
- Installs via an agent-executable INSTALL.md that Codex runs unaided; installs are reversible and no GUI is required
- Memory uses HOT snapshot plus WARM ripgrep retrieval instead of dumping docs/ai/, with size-capped, replace-guarded notes rather than append-only files
- Cross-session handoff is a one-page in-place-replaced summary, with git serving as the ledger
- If the project has no wiki, only the project-memory skill is enabled
Related
Products·launched
Funes: self-hosted memory layer that turns coding-agent traces into searchable, retrievable memory
Funes ingests the session logs and traces coding agents already generate, transforming them into a structured memory that both humans and agents can query. LLM-based processing converts raw traces into retrievable answers about why changes were made. It solves the problem of losing the reasoning behind past agent decisions across thousands of turns, for developers who own their agent history.
Funes ingests the session logs and traces coding agents already generate, transforming them into a structured memory that both humans and agents can query. LLM-based processing converts raw traces into retrievable answers about why changes were made. It solves the problem of losing the reasoning behind past agent decisions across thousands of turns, for developers who own their agent history.
0 engagement1 sourcerssThu, Sep 3, 2026, 12:00 AM
Products·launched
Local memory system for Claude Code with review queue
Global Agent Memory is a local memory system for Claude Code that stores project knowledge across sessions. It uses MCP to let Claude search existing memories or propose new ones, which go into a review queue for the user to approve, edit, or reject. It solves the problem of losing context between coding sessions and gives users control over what the AI remembers.
Global Agent Memory is a local memory system for Claude Code that stores project knowledge across sessions. It uses MCP to let Claude search existing memories or propose new ones, which go into a review queue for the user to approve, edit, or reject. It solves the problem of losing context between coding sessions and gives users control over what the AI remembers.
17 engagement1 sourceredditSun, Jul 12, 2026, 05:26 PM
Releases·Agent Release
OpenAI gives Codex reusable cloud environments that work across devices
At Dev Day, OpenAI announced reusable cloud development environments for Codex, accessible from any device, plus a refreshed Codex CLI with voice control, a new code review experience, Codex Security Cloud, and API updates. The changes make Codex cloud work persistent and configurable rather than isolated per-task sandboxes.
At Dev Day, OpenAI announced reusable cloud development environments for Codex, accessible from any device, plus a refreshed Codex CLI with voice control, a new code review experience, Codex Security Cloud, and API updates. The changes make Codex cloud work persistent and configurable rather than isolated per-task sandboxes.
4.1k engagement2 sourcesrss, xTue, Sep 29, 2026, 05:15 PM
Releases·Tool Release
okf-agent-memory v0.6.1 launches registry.okf-memory.dev for versioned AI agent memory packs with lockfile pinning
The okf-agent-memory project released v0.6.1, adding a dedicated registry (registry.okf-memory.dev) for distributing and versioning Open Knowledge Format agent memory bundles like code dependencies. The tool targets reliable enforcement of shared architectural decisions across codebases, replacing bloated system prompts and unstructured vector retrieval with deterministic, local-first memory. Practitioners get CLI-based dependency pulling, SHA-256 pinning, and static cross-bundle link verification.
The okf-agent-memory project released v0.6.1, adding a dedicated registry (registry.okf-memory.dev) for distributing and versioning Open Knowledge Format agent memory bundles like code dependencies. The tool targets reliable enforcement of shared architectural decisions across codebases, replacing bloated system prompts and unstructured vector retrieval with deterministic, local-first memory. Practitioners get CLI-based dependency pulling, SHA-256 pinning, and static cross-bundle link verification.
4 engagement1 sourceredditFri, Oct 16, 2026, 02:54 PM
Products·launched
Unified memory layer for AI agents
Memmy is a personal memory hub that provides a shared long-term memory layer across multiple AI agents like Cursor, Claude Code, and Codex. It distills user knowledge, preferences, and project experience into a single memory that evolves through collaboration, solving the problem of fragmented context across different AI tools. Available as a desktop app, CLI, and API.
Memmy is a personal memory hub that provides a shared long-term memory layer across multiple AI agents like Cursor, Claude Code, and Codex. It distills user knowledge, preferences, and project experience into a single memory that evolves through collaboration, solving the problem of fragmented context across different AI tools. Available as a desktop app, CLI, and API.
50 engagement1 sourcegithubThu, Jul 16, 2026, 07:57 AM