◇ OmniMemory

The memory & context layer for coding agents — persistent, branch-aware, git-anchored, fully local. Your AI stops forgetting between chats and stops hallucinating architecture it never verified.

Plugs into Claude Code and Antigravity (more IDEs coming). Toggle with /omni-memory. Browse everything in a minimalist local dashboard.

Install

Option A — Claude Code plugin (no pip needed). The zero-dependency engine rides along inside the plugin, so this is all it takes:

/plugin marketplace add SinghAbhinav04/Omni-Memory
/plugin install omni-memory@singhabhinav

That wires the skill + the capture/inject hooks automatically. Just work — memory injects on every prompt and updates itself when a session ends.

Option B — pip (gives you the omni-memory CLI everywhere).

pip install omni-memory-agent      # or, from a clone: python -m pip install -e .
omni-memory install                # wire it into Claude Code (the CLI is `omni-memory`)
omni-memory build                  # one-time: seed memory from the repo (optional)
omni-memory status

The core is zero-dependency (Python stdlib + SQLite) and runs with no API key. Set GEMINI_API_KEY (or Anthropic/OpenAI) only if you want the AI-written build pass and artifacts.

What it does

• Remembers decisions, facts, request/data flows, gotchas — automatically at the end of each session, and on demand.
• Branch-aware — memory is scoped to your git branch; tracks branch creator, timeline, and merge status. Merged branches roll into the base.
• Enforced — injects a VERIFIED PROJECT MEMORY block into prompts and makes the agent cite what it used, or admit "not in memory" instead of inventing.
• Relevant (context-aware) — a BM25F ranker (symbol/file/prose field weighting) surfaces the few memories that match your prompt, boosts those anchored to code near what you're editing (via the call graph), and lifts memories the agent has actually cited before. No embeddings, no key.
• Self-checking (symbol-level) — omni-memory check builds a tree-sitter code graph and flags a memory ⚠ stale only when its symbol — or a symbol that calls it — actually changed in git, not just because the file was touched. Falls back to file-level when tree-sitter isn't present.
• Clean — an extraction-noise filter keeps aspirational prose and doc boilerplate out of the store.
• Graph + dashboard — omni-memory ui opens a local UI: browsable memory docs, the knowledge graph, and the repo/branch graph.

Commands

omni-memory status | on | off | branch-aware
omni-memory build          # one-time: AI-written facts from the repo + docs
omni-memory ui             # local dashboard (graph + memory docs + repo graph)
omni-memory map            # (re)build the knowledge graph + tree-sitter code graph
omni-memory check          # re-anchor vs git; flag stale memories (symbol-level)
omni-memory recall <q>     # query memory instead of grepping
omni-memory branches       # git topology + per-branch memory
omni-memory remember "…" [--kind decision|fact|flow|gotcha|todo|…]
omni-memory forget <id>
omni-memory used <id> …    # record a citation (feeds the ranker)
omni-memory digest         # (re)write the MEMORY.md knowledge base
omni-memory artifact [apimap|linkup|all]   # AI-written cross-reference docs
omni-memory key <gemini|anthropic|openai>  # store a model key securely (chmod 600)
omni-memory install [--platform claude-code|antigravity]

How it works

CAPTURE (session + git) → STORE (SQLite, branch-tagged) → RANK + INJECT + ENFORCE
       → CHECK (staleness vs git) → VISUALIZE (dashboard)

Capture fires from deterministic harness events (UserPromptSubmit → inject, SessionEnd → capture) — never left to the agent's goodwill. Local-first, no cloud, no paid data. See PLAN.md for the full architecture and roadmap.

Status

Core is in: store · git provenance · branch-aware scoping · capture/inject/enforce · context-aware ranker (BM25F + code-graph proximity + citation feedback) · symbol-level staleness · noise filter · tree-sitter code graph (Python/JS/TS, with a stdlib-ast fallback) · dashboard (knowledge graph + repo/branch graph). tree-sitter installs automatically on Python ≥3.10; on 3.9 the base install still works and graphs Python via ast. Roadmap: Antigravity via MCP, more languages, runtime request-flow capture. See PLAN.md.

License

MIT © 2026 Abhinav Singh