Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add fetchai/agentverse-skills --skill agentverse-memorygit clone --depth 1 https://github.com/fetchai/agentverse-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-memory)<a href="https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-memory"><img src="https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-memory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fetchai/agentverse-skills/agentverse-memory"><img src="https://agentmods.dev/badge/skills/fetchai/agentverse-skills/agentverse-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00127 | $0.10247 |
| Opus 5.5 | $0.00051 | $0.04099 |
| Sonnet 5.5 | $0.00025 | $0.02049 |
| Haiku 4.5 | $0.00013 | $0.01025 |
Grade A, and why
agentverse-memory scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Read Bash(python3 *) Bash(curl *) Bash(mem *) Bash(pip install requests) How it starts
The opening of the file, as written. The whole thing — 684 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentverse Memory
Overview
Give any AI agent persistent, graph-native memory. Agentverse Memory is a managed MCP service that exposes 35 JSON-RPC 2.0 tools for:
| Memory Type | What it stores | Key tools |
|---|---|---|
| Episodic | Time-stamped events, observations, conversations | memory_store_episode, memory_search_episodes |
| Entity | Named entities with typed properties | memory_store_entity, memory_get_entity |
| Graph | Knowledge graph triples, traversal, pathfinding | memory_traverse_graph, memory_find_path |
| Procedural | Goal-directed skill sequences with outcome tracking | memory_store_procedure, memory_match_procedure |
| Working | Ephemeral key-value scratchpad (TTL-aware) | memory_set_working, memory_get_working |
| Shared | Multi-agent shared knowledge spaces | memory_create_shared_space, memory_shared_query |
| Pheromone | Stigmergic trails on memory paths | memory_deposit_pheromone, memory_get_pheromone |
Key differentiators:
- 🚀 <5ms writes, $0 ingest — zero LLM inference at write time. Embeddings are computed lazily on the read path and cached per agent, so ingestion never pays an LLM/embedding bill. This is the core cost moat.
- 🌐 Graph memory on every tier — including free. Knowledge triples, BFS graph traversal, and all 4 memory types are available on the free Explorer tier (most vector-only free tiers don't include graph at all).
- 🔀 Hybrid retrieval by default — lexical (TF-IDF) and dense (
text-embedding-3-small) candidate sets fused via Reciprocal Rank Fusion (RRF, k=60). Live default-on in production. - 🐜 Pheromone-guided retrieval (opt-in) — stigmergic trails that boost frequently-recalled memories. Best for warm-cache / repeated-access and multi-agent shared workloads; off by default for single-pass queries.
- 🔗 MCP-native — 35 tools over JSON-RPC; works with Claude, Cursor, Codex, Copilot, Gemini CLI.
Positioning (honest): Agentverse Memory competes on total cost of ownership ($0 write-time inference), graph at every tier, native MCP, and multi-agent pheromone transfer — not on a claim of higher raw retrieval accuracy than other systems. Keep the headline on cost and capabilities.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 684 lines · 127 tokens per session scan A c6d3279e92fc
agentverse-memory is a skill published in the GitHub repository fetchai/agentverse-skills (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 127 tokens to every session and 10,247 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
knowledge-ingest
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Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
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memory
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ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…